cudf Namespace Reference

cuDF interfaces More...

Namespaces
	dictionary
	Dictionary column APIs.
	groupby
	groupby APIs
	hashing
	Hash APIs.
	io
	IO interfaces.
	lists
	Lists column APIs.
	strings
	Strings column APIs.
	tdigest
	Tdigest interfaces.

Classes
class	aggregation
	Abstract base class for specifying the desired aggregation in an aggregation_request. More...
class	rolling_aggregation
	Derived class intended for rolling_window specific aggregation usage. More...
class	groupby_aggregation
	Derived class intended for groupby specific aggregation usage. More...
class	groupby_scan_aggregation
	Derived class intended for groupby specific scan usage. More...
class	reduce_aggregation
	Derived class intended for reduction usage. More...
class	scan_aggregation
	Derived class intended for scan usage. More...
class	segmented_reduce_aggregation
	Derived class intended for segmented reduction usage. More...
struct	binary_op_common_type
	Binary operation common type default. More...
struct	binary_op_common_type< L, R, std::enable_if_t< has_common_type_v< L, R > > >
	Binary operation common type specialization. More...
class	column
	A container of nullable device data as a column of elements. More...
struct	nullate
	Indicates the presence of nulls at compile-time or runtime. More...
class	column_device_view
	An immutable, non-owning view of device data as a column of elements that is trivially copyable and usable in CUDA device code. More...
class	mutable_column_device_view
	A mutable, non-owning view of device data as a column of elements that is trivially copyable and usable in CUDA device code. More...
class	column_view
	A non-owning, immutable view of device data as a column of elements, some of which may be null as indicated by a bitmask. More...
class	mutable_column_view
	A non-owning, mutable view of device data as a column of elements, some of which may be null as indicated by a bitmask. More...
struct	packed_columns
	Column data in a serialized format. More...
struct	packed_table
	The result(s) of a cudf::contiguous_split. More...
class	chunked_pack
	Perform a chunked "pack" operation of the input table_view using a user provided buffer of size user_buffer_size. More...
class	dictionary_column_view
	A wrapper class for operations on a dictionary column. More...
struct	column_metadata
	Detailed metadata information for arrow array. More...
struct	custom_view_deleter
	functor for a custom deleter to a unique_ptr of table_view More...
class	hash_join
	Hash join that builds hash table in creation and probes results in subsequent *_join member functions. More...
class	distinct_hash_join
	Distinct hash join that builds hash table in creation and probes results in subsequent *_join member functions. More...
class	get_json_object_options
	Settings for get_json_object(). More...
class	list_device_view
	A non-owning, immutable view of device data that represents a list of elements of arbitrary type (including further nested lists). More...
struct	list_size_functor
	Returns the size of the list by row index. More...
class	list_view
	A non-owning, immutable view of device data that represents a list of elements of arbitrary type (including further nested lists). More...
class	lists_column_view
	Given a column-view of lists type, an instance of this class provides a wrapper on this compound column for list operations. More...
struct	range_window_bounds
	Abstraction for window boundary sizes, to be used with grouped_range_rolling_window(). More...
struct	window_bounds
	Abstraction for window boundary sizes. More...
class	scalar
	An owning class to represent a singular value. More...
class	numeric_scalar
	An owning class to represent a numerical value in device memory. More...
class	fixed_point_scalar
	An owning class to represent a fixed_point number in device memory. More...
class	string_scalar
	An owning class to represent a string in device memory. More...
class	chrono_scalar
	An owning class to represent a timestamp/duration value in device memory. More...
class	timestamp_scalar
	An owning class to represent a timestamp value in device memory. More...
class	duration_scalar
	An owning class to represent a duration value in device memory. More...
class	list_scalar
	An owning class to represent a list value in device memory. More...
class	struct_scalar
	An owning class to represent a struct value in device memory. More...
class	numeric_scalar_device_view
	A type of scalar_device_view that stores a pointer to a numerical value. More...
class	fixed_point_scalar_device_view
	A type of scalar_device_view that stores a pointer to a fixed_point value. More...
class	string_scalar_device_view
	A type of scalar_device_view that stores a pointer to a string value. More...
class	timestamp_scalar_device_view
	A type of scalar_device_view that stores a pointer to a timestamp value. More...
class	duration_scalar_device_view
	A type of scalar_device_view that stores a pointer to a duration value. More...
class	string_view
	A non-owning, immutable view of device data that is a variable length char array representing a UTF-8 string. More...
class	strings_column_view
	Given a column-view of strings type, an instance of this class provides a wrapper on this compound column for strings operations. More...
class	struct_view
	A non-owning, immutable view of device data that represents a struct with fields of arbitrary types (including primitives, lists, and other structs) More...
class	structs_column_view
	Given a column view of struct type, an instance of this class provides a wrapper on this compound column for struct operations. More...
class	element_equality_comparator
	Performs an equality comparison between two elements in two columns. More...
class	row_equality_comparator
	Performs a relational comparison between two elements in two tables. More...
class	element_relational_comparator
	Performs a relational comparison between two elements in two columns. More...
class	row_lexicographic_comparator
	Computes whether one row is lexicographically less than another row. More...
class	element_hasher
	Computes the hash value of an element in the given column. More...
class	element_hasher_with_seed
	Function object for computing the hash value of a row in a column. More...
class	row_hasher
	Computes the hash value of a row in the given table. More...
class	table
	A set of cudf::column's of the same size. More...
class	table_device_view
	Table device view that is usable in device memory. More...
class	mutable_table_device_view
	Mutable table device view that is usable in device memory. More...
class	table_view
	A set of cudf::column_view's of the same size. More...
class	mutable_table_view
	A set of mutable_column_views of the same size. More...
struct	order_info
	Indicates how a collection of values has been ordered. More...
class	data_type
	Indicator for the logical data type of an element in a column. More...
struct	stacktrace_recorder
	The struct to store the current stacktrace upon its construction. More...
struct	logic_error
	Exception thrown when logical precondition is violated. More...
struct	cuda_error
	Exception thrown when a CUDA error is encountered. More...
struct	fatal_cuda_error
struct	data_type_error
	Exception thrown when an operation is attempted on an unsupported dtype. More...
struct	pinned_mr_options
	Options to configure the default pinned memory resource. More...
struct	is_host_span_supported_container
struct	is_host_span_supported_container< std::vector< T, Alloc > >
struct	is_host_span_supported_container< thrust::host_vector< T, Alloc > >
struct	is_host_span_supported_container< std::basic_string< T, std::char_traits< T >, Alloc > >
struct	host_span
	C++20 std::span with reduced feature set. More...
struct	is_device_span_supported_container
struct	is_device_span_supported_container< thrust::device_vector< T, Alloc > >
struct	is_device_span_supported_container< rmm::device_vector< T > >
struct	is_device_span_supported_container< rmm::device_uvector< T > >
struct	device_span
	Device version of C++20 std::span with reduced feature set. More...
struct	has_atomic_support_impl
struct	is_convertible
struct	is_convertible< cudf::detail::timestamp< Duration1 >, cudf::detail::timestamp< Duration2 > >
struct	type_to_name_impl
	Maps a cudf::type_id types to its corresponding C++ type name string.
struct	id_to_type_impl
struct	dispatch_storage_type
	Use this specialization on type_dispatcher whenever you only need to operate on the underlying stored type. More...
struct	type_to_scalar_type_impl
struct	type_to_scalar_type_impl< std::string >
struct	type_to_scalar_type_impl< cudf::string_view >
struct	type_to_scalar_type_impl< numeric::decimal32 >
struct	type_to_scalar_type_impl< numeric::decimal64 >
struct	type_to_scalar_type_impl< numeric::decimal128 >
struct	type_to_scalar_type_impl< cudf::dictionary32 >
struct	type_to_scalar_type_impl< cudf::list_view >
struct	type_to_scalar_type_impl< cudf::struct_view >
struct	dictionary_wrapper
	A strongly typed wrapper for indices in a DICTIONARY type column. More...

Typedefs
template<typename L , typename R >
using	binary_op_common_type_t = typename binary_op_common_type< L, R >::type
	Binary operation common type helper.
using	hash_value_type = uint32_t
	Type of hash value.
using	unique_schema_t = std::unique_ptr< ArrowSchema, void(*)(ArrowSchema *)>
	typedef for a unique_ptr to an ArrowSchema with custom deleter
using	unique_device_array_t = std::unique_ptr< ArrowDeviceArray, void(*)(ArrowDeviceArray *)>
	typedef for a unique_ptr to an ArrowDeviceArray with a custom deleter
using	owned_columns_t = std::vector< std::unique_ptr< cudf::column > >
	typedef for a vector of owning columns, used for conversion from ArrowDeviceArray
using	unique_table_view_t = std::unique_ptr< cudf::table_view, custom_view_deleter< cudf::table_view > >
	typedef for a unique_ptr to a cudf::table_view with custom deleter
using	unique_column_view_t = std::unique_ptr< cudf::column_view, custom_view_deleter< cudf::column_view > >
	typedef for a unique_ptr to a cudf::column_view with custom deleter
using	char_utf8 = uint32_t
	UTF-8 characters are 1-4 bytes.
using	size_type = int32_t
	Row index type for columns and tables.
using	bitmask_type = uint32_t
	Bitmask type stored as 32-bit unsigned integer.
using	valid_type = uint8_t
	Valid type in host memory.
using	thread_index_type = int64_t
	Thread index type in kernels.
template<typename... >
using	void_t = void
	Utility metafunction that maps a sequence of any types to the type void.
template<typename L , typename R >
using	less_comparable = decltype(std::declval< L >()< std::declval< R >())
	Checks if two types are comparable using less operator (i.e. <).
template<typename L , typename R >
using	greater_comparable = decltype(std::declval< L >() > std::declval< R >())
	Checks if two types are comparable using greater operator (i.e. >).
template<typename L , typename R >
using	equality_comparable = decltype(std::declval< L >()==std::declval< R >())
	Checks if two types are comparable using equality operator (i.e. ==).
template<typename... Ts>
using	has_common_type = typename detail::has_common_type_impl< void, Ts... >::type
	Checks if types have a common type.
template<typename T >
using	is_timestamp_t = cuda::std::disjunction< std::is_same< cudf::timestamp_D, T >, std::is_same< cudf::timestamp_s, T >, std::is_same< cudf::timestamp_ms, T >, std::is_same< cudf::timestamp_us, T >, std::is_same< cudf::timestamp_ns, T > >
	Checks if a type is a timestamp type.
template<typename T >
using	is_duration_t = cuda::std::disjunction< std::is_same< cudf::duration_D, T >, std::is_same< cudf::duration_s, T >, std::is_same< cudf::duration_ms, T >, std::is_same< cudf::duration_us, T >, std::is_same< cudf::duration_ns, T > >
	Checks if a type is a duration type.
template<cudf::type_id Id>
using	id_to_type = typename id_to_type_impl< Id >::type
	Maps a cudf::type_id to its corresponding concrete C++ type. More...
template<typename T >
using	device_storage_type_t = std::conditional_t< std::is_same_v< numeric::decimal32, T >, int32_t, std::conditional_t< std::is_same_v< numeric::decimal64, T >, int64_t, std::conditional_t< std::is_same_v< numeric::decimal128, T >, __int128_t, T > >>
	"Returns" the corresponding type that is stored on the device when using cudf::column More...
template<typename T >
using	scalar_type_t = typename type_to_scalar_type_impl< T >::ScalarType
	Maps a C++ type to the scalar type required to hold its value. More...
template<typename T >
using	scalar_device_type_t = typename type_to_scalar_type_impl< T >::ScalarDeviceType
	Maps a C++ type to the scalar device type required to hold its value. More...
using	dictionary32 = dictionary_wrapper< int32_t >
	32-bit integer indexed dictionary wrapper
using	duration_D = cuda::std::chrono::duration< int32_t, cuda::std::chrono::days::period >
	Type alias representing an int32_t duration of days.
using	duration_h = cuda::std::chrono::duration< int32_t, cuda::std::chrono::hours::period >
	Type alias representing an int32_t duration of hours.
using	duration_m = cuda::std::chrono::duration< int32_t, cuda::std::chrono::minutes::period >
	Type alias representing an int32_t duration of minutes.
using	duration_s = cuda::std::chrono::duration< int64_t, cuda::std::chrono::seconds::period >
	Type alias representing an int64_t duration of seconds.
using	duration_ms = cuda::std::chrono::duration< int64_t, cuda::std::chrono::milliseconds::period >
	Type alias representing an int64_t duration of milliseconds.
using	duration_us = cuda::std::chrono::duration< int64_t, cuda::std::chrono::microseconds::period >
	Type alias representing an int64_t duration of microseconds.
using	duration_ns = cuda::std::chrono::duration< int64_t, cuda::std::chrono::nanoseconds::period >
	Type alias representing an int64_t duration of nanoseconds.
using	timestamp_D = detail::timestamp< cudf::duration_D >
	Type alias representing a cudf::duration_D (int32_t) since the unix epoch.
using	timestamp_h = detail::timestamp< cudf::duration_h >
	Type alias representing a cudf::duration_h (int32_t) since the unix epoch.
using	timestamp_m = detail::timestamp< cudf::duration_m >
	Type alias representing a cudf::duration_m (int32_t) since the unix epoch.
using	timestamp_s = detail::timestamp< cudf::duration_s >
	Type alias representing a cudf::duration_s (int64_t) since the unix epoch.
using	timestamp_ms = detail::timestamp< cudf::duration_ms >
	Type alias representing a cudf::duration_ms (int64_t) since the unix epoch.
using	timestamp_us = detail::timestamp< cudf::duration_us >
	Type alias representing a cudf::duration_us (int64_t) since the unix epoch.
using	timestamp_ns = detail::timestamp< cudf::duration_ns >
	Type alias representing a cudf::duration_ns (int64_t) since the unix epoch.

Enumerations
enum class	rank_method : int32_t {   FIRST , AVERAGE , MIN , MAX ,   DENSE }
	Tie-breaker method to use for ranking the column. More...
enum class	rank_percentage : int32_t { NONE , ZERO_NORMALIZED , ONE_NORMALIZED }
	Whether returned rank should be percentage or not and mention the type of percentage normalization. More...
enum class	udf_type : bool { CUDA , PTX }
	Type of code in the user defined function string.
enum class	correlation_type : int32_t { PEARSON , KENDALL , SPEARMAN }
	Type of correlation method.
enum class	ewm_history : int32_t { INFINITE , FINITE }
	Type of treatment of EWM input values' first value.
enum class	binary_operator : int32_t {   ADD , SUB , MUL , DIV ,   TRUE_DIV , FLOOR_DIV , MOD , PMOD ,   PYMOD , POW , INT_POW , LOG_BASE ,   ATAN2 , SHIFT_LEFT , SHIFT_RIGHT , SHIFT_RIGHT_UNSIGNED ,   BITWISE_AND , BITWISE_OR , BITWISE_XOR , LOGICAL_AND ,   LOGICAL_OR , EQUAL , NOT_EQUAL , LESS ,   GREATER , LESS_EQUAL , GREATER_EQUAL , NULL_EQUALS ,   NULL_NOT_EQUALS , NULL_MAX , NULL_MIN , GENERIC_BINARY ,   NULL_LOGICAL_AND , NULL_LOGICAL_OR , INVALID_BINARY }
	Types of binary operations that can be performed on data. More...
enum class	out_of_bounds_policy : bool { NULLIFY , DONT_CHECK }
	Policy to account for possible out-of-bounds indices. More...
enum class	mask_allocation_policy : int32_t { NEVER , RETAIN , ALWAYS }
	Indicates when to allocate a mask, based on an existing mask. More...
enum class	sample_with_replacement : bool { FALSE , TRUE }
	Indicates whether a row can be sampled more than once. More...
enum class	has_nested : bool { YES , NO }
	Enum to indicate whether the distinct join table has nested columns or not.
enum class	nullable_join : bool { YES , NO }
	The enum class to specify if any of the input join tables (build table and any later probe table) has nulls. More...
enum class	inclusive { YES , NO }
	Enum used to define whether or not bins include their boundary points.
enum class	hash_id { HASH_IDENTITY = 0 , HASH_MURMUR3 }
	Identifies the hash function to be used in hash partitioning. More...
enum class	scan_type : bool { INCLUSIVE , EXCLUSIVE }
	Enum to describe scan operation type.
enum class	replace_policy : bool { PRECEDING , FOLLOWING }
	Policy to specify the position of replacement values relative to null rows. More...
enum class	flip_endianness : bool { NO , YES }
	Configures whether byte casting flips endianness.
enum class	rounding_method : int32_t { HALF_UP , HALF_EVEN }
	Different rounding methods for cudf::round More...
enum class	duplicate_keep_option { KEEP_ANY = 0 , KEEP_FIRST , KEEP_LAST , KEEP_NONE }
	Choices for drop_duplicates API for retainment of duplicate rows. More...
enum class	weak_ordering { LESS , EQUIVALENT , GREATER }
	Result type of the element_relational_comparator function object. More...
enum class	order : bool { ASCENDING , DESCENDING }
	Indicates the order in which elements should be sorted. More...
enum class	null_policy : bool { EXCLUDE , INCLUDE }
	Enum to specify whether to include nulls or exclude nulls. More...
enum class	nan_policy : bool { NAN_IS_NULL , NAN_IS_VALID }
	Enum to treat NaN floating point value as null or non-null element. More...
enum class	nan_equality { ALL_EQUAL , UNEQUAL }
	Enum to consider different elements (of floating point types) holding NaN value as equal or unequal. More...
enum class	null_equality : bool { EQUAL , UNEQUAL }
	Enum to consider two nulls as equal or unequal. More...
enum class	null_order : bool { AFTER , BEFORE }
	Indicates how null values compare against all other values. More...
enum class	sorted : bool { NO , YES }
	Indicates whether a collection of values is known to be sorted.
enum class	mask_state : int32_t { UNALLOCATED , UNINITIALIZED , ALL_VALID , ALL_NULL }
	Controls the allocation/initialization of a null mask. More...
enum class	interpolation : int32_t {   LINEAR , LOWER , HIGHER , MIDPOINT ,   NEAREST }
	Interpolation method to use when the desired quantile lies between two data points i and j. More...
enum class	type_id : int32_t {   EMPTY , INT8 , INT16 , INT32 ,   INT64 , UINT8 , UINT16 , UINT32 ,   UINT64 , FLOAT32 , FLOAT64 , BOOL8 ,   TIMESTAMP_DAYS , TIMESTAMP_SECONDS , TIMESTAMP_MILLISECONDS , TIMESTAMP_MICROSECONDS ,   TIMESTAMP_NANOSECONDS , DURATION_DAYS , DURATION_SECONDS , DURATION_MILLISECONDS ,   DURATION_MICROSECONDS , DURATION_NANOSECONDS , DICTIONARY32 , STRING ,   LIST , DECIMAL32 , DECIMAL64 , DECIMAL128 ,   STRUCT , NUM_TYPE_IDS }
	Identifies a column's logical element type. More...
enum class	unary_operator : int32_t {   SIN , COS , TAN , ARCSIN ,   ARCCOS , ARCTAN , SINH , COSH ,   TANH , ARCSINH , ARCCOSH , ARCTANH ,   EXP , LOG , SQRT , CBRT ,   CEIL , FLOOR , ABS , RINT ,   BIT_INVERT , NOT }
	Types of unary operations that can be performed on data. More...

Functions
template<typename Base = aggregation>
std::unique_ptr< Base >	make_sum_aggregation ()
template<typename Base = aggregation>
std::unique_ptr< Base >	make_product_aggregation ()
template<typename Base = aggregation>
std::unique_ptr< Base >	make_min_aggregation ()
template<typename Base = aggregation>
std::unique_ptr< Base >	make_max_aggregation ()
template<typename Base = aggregation>
std::unique_ptr< Base >	make_count_aggregation (null_policy null_handling=null_policy::EXCLUDE)
	Factory to create a COUNT aggregation. More...
template<typename Base = aggregation>
std::unique_ptr< Base >	make_any_aggregation ()
template<typename Base = aggregation>
std::unique_ptr< Base >	make_all_aggregation ()
template<typename Base = aggregation>
std::unique_ptr< Base >	make_histogram_aggregation ()
template<typename Base = aggregation>
std::unique_ptr< Base >	make_sum_of_squares_aggregation ()
template<typename Base = aggregation>
std::unique_ptr< Base >	make_mean_aggregation ()
template<typename Base = aggregation>
std::unique_ptr< Base >	make_m2_aggregation ()
	Factory to create a M2 aggregation. More...
template<typename Base = aggregation>
std::unique_ptr< Base >	make_variance_aggregation (size_type ddof=1)
	Factory to create a VARIANCE aggregation. More...
template<typename Base = aggregation>
std::unique_ptr< Base >	make_std_aggregation (size_type ddof=1)
	Factory to create a STD aggregation. More...
template<typename Base = aggregation>
std::unique_ptr< Base >	make_median_aggregation ()
template<typename Base = aggregation>
std::unique_ptr< Base >	make_quantile_aggregation (std::vector< double > const &quantiles, interpolation interp=interpolation::LINEAR)
	Factory to create a QUANTILE aggregation. More...
template<typename Base = aggregation>
std::unique_ptr< Base >	make_argmax_aggregation ()
	Factory to create an ARGMAX aggregation. More...
template<typename Base = aggregation>
std::unique_ptr< Base >	make_argmin_aggregation ()
	Factory to create an ARGMIN aggregation. More...
template<typename Base = aggregation>
std::unique_ptr< Base >	make_nunique_aggregation (null_policy null_handling=null_policy::EXCLUDE)
	Factory to create a NUNIQUE aggregation. More...
template<typename Base = aggregation>
std::unique_ptr< Base >	make_nth_element_aggregation (size_type n, null_policy null_handling=null_policy::INCLUDE)
	Factory to create a NTH_ELEMENT aggregation. More...
template<typename Base = aggregation>
std::unique_ptr< Base >	make_row_number_aggregation ()
template<typename Base = aggregation>
std::unique_ptr< Base >	make_ewma_aggregation (double const center_of_mass, ewm_history history)
	Factory to create an EWMA aggregation. More...
template<typename Base = aggregation>
std::unique_ptr< Base >	make_rank_aggregation (rank_method method, order column_order=order::ASCENDING, null_policy null_handling=null_policy::EXCLUDE, null_order null_precedence=null_order::AFTER, rank_percentage percentage=rank_percentage::NONE)
	Factory to create a RANK aggregation. More...
template<typename Base = aggregation>
std::unique_ptr< Base >	make_collect_list_aggregation (null_policy null_handling=null_policy::INCLUDE)
	Factory to create a COLLECT_LIST aggregation. More...
template<typename Base = aggregation>
std::unique_ptr< Base >	make_collect_set_aggregation (null_policy null_handling=null_policy::INCLUDE, null_equality nulls_equal=null_equality::EQUAL, nan_equality nans_equal=nan_equality::ALL_EQUAL)
	Factory to create a COLLECT_SET aggregation. More...
template<typename Base = aggregation>
std::unique_ptr< Base >	make_lag_aggregation (size_type offset)
	Factory to create a LAG aggregation. More...
template<typename Base = aggregation>
std::unique_ptr< Base >	make_lead_aggregation (size_type offset)
	Factory to create a LEAD aggregation. More...
template<typename Base = aggregation>
std::unique_ptr< Base >	make_udf_aggregation (udf_type type, std::string const &user_defined_aggregator, data_type output_type)
	Factory to create an aggregation base on UDF for PTX or CUDA. More...
template<typename Base = aggregation>
std::unique_ptr< Base >	make_merge_lists_aggregation ()
	Factory to create a MERGE_LISTS aggregation. More...
template<typename Base = aggregation>
std::unique_ptr< Base >	make_merge_sets_aggregation (null_equality nulls_equal=null_equality::EQUAL, nan_equality nans_equal=nan_equality::ALL_EQUAL)
	Factory to create a MERGE_SETS aggregation. More...
template<typename Base = aggregation>
std::unique_ptr< Base >	make_merge_m2_aggregation ()
	Factory to create a MERGE_M2 aggregation. More...
template<typename Base = aggregation>
std::unique_ptr< Base >	make_merge_histogram_aggregation ()
	Factory to create a MERGE_HISTOGRAM aggregation. More...
template<typename Base = aggregation>
std::unique_ptr< Base >	make_covariance_aggregation (size_type min_periods=1, size_type ddof=1)
	Factory to create a COVARIANCE aggregation. More...
template<typename Base = aggregation>
std::unique_ptr< Base >	make_correlation_aggregation (correlation_type type, size_type min_periods=1)
	Factory to create a CORRELATION aggregation. More...
template<typename Base >
std::unique_ptr< Base >	make_tdigest_aggregation (int max_centroids=1000)
	Factory to create a TDIGEST aggregation. More...
template<typename Base >
std::unique_ptr< Base >	make_merge_tdigest_aggregation (int max_centroids=1000)
	Factory to create a MERGE_TDIGEST aggregation. More...
std::unique_ptr< column >	binary_operation (scalar const &lhs, column_view const &rhs, binary_operator op, data_type output_type, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Performs a binary operation between a scalar and a column. More...
std::unique_ptr< column >	binary_operation (column_view const &lhs, scalar const &rhs, binary_operator op, data_type output_type, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Performs a binary operation between a column and a scalar. More...
std::unique_ptr< column >	binary_operation (column_view const &lhs, column_view const &rhs, binary_operator op, data_type output_type, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Performs a binary operation between two columns. More...
std::unique_ptr< column >	binary_operation (column_view const &lhs, column_view const &rhs, std::string const &ptx, data_type output_type, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Performs a binary operation between two columns using a user-defined PTX function. More...
int32_t	binary_operation_fixed_point_scale (binary_operator op, int32_t left_scale, int32_t right_scale)
	Computes the scale for a fixed_point number based on given binary operator op More...
cudf::data_type	binary_operation_fixed_point_output_type (binary_operator op, cudf::data_type const &lhs, cudf::data_type const &rhs)
	Computes the data_type for a fixed_point number based on given binary operator op More...
std::unique_ptr< column >	make_empty_column (data_type type)
	Creates an empty column of the specified type. More...
std::unique_ptr< column >	make_empty_column (type_id id)
	Creates an empty column of the specified type. More...
std::unique_ptr< column >	make_numeric_column (data_type type, size_type size, mask_state state=mask_state::UNALLOCATED, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Construct column with sufficient uninitialized storage to hold size elements of the specified numeric data_type with an optional null mask. More...
template<typename B >
std::unique_ptr< column >	make_numeric_column (data_type type, size_type size, B &&null_mask, size_type null_count, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Construct column with sufficient uninitialized storage to hold size elements of the specified numeric data_type with a null mask. More...
std::unique_ptr< column >	make_fixed_point_column (data_type type, size_type size, mask_state state=mask_state::UNALLOCATED, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Construct column with sufficient uninitialized storage to hold size elements of the specified fixed_point data_type with an optional null mask. More...
template<typename B >
std::unique_ptr< column >	make_fixed_point_column (data_type type, size_type size, B &&null_mask, size_type null_count, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Construct column with sufficient uninitialized storage to hold size elements of the specified fixed_point data_type with a null mask. More...
std::unique_ptr< column >	make_timestamp_column (data_type type, size_type size, mask_state state=mask_state::UNALLOCATED, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Construct column with sufficient uninitialized storage to hold size elements of the specified timestamp data_type with an optional null mask. More...
template<typename B >
std::unique_ptr< column >	make_timestamp_column (data_type type, size_type size, B &&null_mask, size_type null_count, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Construct column with sufficient uninitialized storage to hold size elements of the specified timestamp data_type with a null mask. More...
std::unique_ptr< column >	make_duration_column (data_type type, size_type size, mask_state state=mask_state::UNALLOCATED, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Construct column with sufficient uninitialized storage to hold size elements of the specified duration data_type with an optional null mask. More...
template<typename B >
std::unique_ptr< column >	make_duration_column (data_type type, size_type size, B &&null_mask, size_type null_count, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Construct column with sufficient uninitialized storage to hold size elements of the specified duration data_type with a null mask. More...
std::unique_ptr< column >	make_fixed_width_column (data_type type, size_type size, mask_state state=mask_state::UNALLOCATED, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Construct column with sufficient uninitialized storage to hold size elements of the specified fixed width data_type with an optional null mask. More...
template<typename B >
std::unique_ptr< column >	make_fixed_width_column (data_type type, size_type size, B &&null_mask, size_type null_count, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Construct column with sufficient uninitialized storage to hold size elements of the specified fixed width data_type with a null mask. More...
std::unique_ptr< column >	make_strings_column (cudf::device_span< thrust::pair< char const *, size_type > const > strings, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Construct a STRING type column given a device span of pointer/size pairs. More...
std::unique_ptr< column >	make_strings_column (cudf::device_span< string_view const > string_views, string_view const null_placeholder, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Construct a STRING type column given a device span of string_view. More...
std::unique_ptr< column >	make_strings_column (size_type num_strings, std::unique_ptr< column > offsets_column, rmm::device_buffer &&chars_buffer, size_type null_count, rmm::device_buffer &&null_mask)
	Construct a STRING type column given offsets column, chars columns, and null mask and null count. More...
std::unique_ptr< cudf::column >	make_lists_column (size_type num_rows, std::unique_ptr< column > offsets_column, std::unique_ptr< column > child_column, size_type null_count, rmm::device_buffer &&null_mask, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Construct a LIST type column given offsets column, child column, null mask and null count. More...
std::unique_ptr< cudf::column >	make_structs_column (size_type num_rows, std::vector< std::unique_ptr< column >> &&child_columns, size_type null_count, rmm::device_buffer &&null_mask, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Construct a STRUCT column using specified child columns as members. More...
std::unique_ptr< column >	make_column_from_scalar (scalar const &s, size_type size, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Construct a column with size elements that are all equal to the given scalar. More...
std::unique_ptr< column >	make_dictionary_from_scalar (scalar const &s, size_type size, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Construct a dictionary column with size elements that are all equal to the given scalar. More...
size_type	count_descendants (column_view parent)
	Counts the number of descendants of the specified parent. More...
column_view	bit_cast (column_view const &input, data_type type)
	Zero-copy cast between types with the same size and compatible underlying representations. More...
mutable_column_view	bit_cast (mutable_column_view const &input, data_type type)
	Zero-copy cast between types with the same size and compatible underlying representations. More...
rmm::device_buffer	concatenate_masks (host_span< column_view const > views, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Concatenates views[i]'s bitmask from the bits [views[i].offset(), views[i].offset() + views[i].size()) for all elements views into an rmm::device_buffer More...
std::unique_ptr< column >	concatenate (host_span< column_view const > columns_to_concat, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Concatenates multiple columns into a single column. More...
std::unique_ptr< table >	concatenate (host_span< table_view const > tables_to_concat, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Columns of tables_to_concat are concatenated vertically to return a single table. More...
std::vector< packed_table >	contiguous_split (cudf::table_view const &input, std::vector< size_type > const &splits, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Performs a deep-copy split of a table_view into a vector of packed_table where each packed_table is using a single contiguous block of memory for all of the split's column data. More...
packed_columns	pack (cudf::table_view const &input, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Deep-copy a table_view into a serialized contiguous memory format. More...
std::vector< uint8_t >	pack_metadata (table_view const &table, uint8_t const *contiguous_buffer, size_t buffer_size)
	Produce the metadata used for packing a table stored in a contiguous buffer. More...
table_view	unpack (packed_columns const &input)
	Deserialize the result of cudf::pack. More...
table_view	unpack (uint8_t const *metadata, uint8_t const *gpu_data)
	Deserialize the result of cudf::pack. More...
std::unique_ptr< table >	gather (table_view const &source_table, column_view const &gather_map, out_of_bounds_policy bounds_policy=out_of_bounds_policy::DONT_CHECK, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Gathers the specified rows (including null values) of a set of columns. More...
std::unique_ptr< table >	reverse (table_view const &source_table, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Reverses the rows within a table. More...
std::unique_ptr< column >	reverse (column_view const &source_column, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Reverses the elements of a column. More...
std::unique_ptr< table >	scatter (table_view const &source, column_view const &scatter_map, table_view const &target, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Scatters the rows of the source table into a copy of the target table according to a scatter map. More...
std::unique_ptr< table >	scatter (std::vector< std::reference_wrapper< scalar const >> const &source, column_view const &indices, table_view const &target, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Scatters a row of scalar values into a copy of the target table according to a scatter map. More...
std::unique_ptr< column >	empty_like (column_view const &input)
	Initializes and returns an empty column of the same type as the input. More...
std::unique_ptr< column >	empty_like (scalar const &input)
	Initializes and returns an empty column of the same type as the input. More...
std::unique_ptr< column >	allocate_like (column_view const &input, mask_allocation_policy mask_alloc=mask_allocation_policy::RETAIN, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Creates an uninitialized new column of the same size and type as the input. More...
std::unique_ptr< column >	allocate_like (column_view const &input, size_type size, mask_allocation_policy mask_alloc=mask_allocation_policy::RETAIN, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Creates an uninitialized new column of the specified size and same type as the input. More...
std::unique_ptr< table >	empty_like (table_view const &input_table)
	Creates a table of empty columns with the same types as the input_table More...
void	copy_range_in_place (column_view const &source, mutable_column_view &target, size_type source_begin, size_type source_end, size_type target_begin, rmm::cuda_stream_view stream=cudf::get_default_stream())
	Copies a range of elements in-place from one column to another. More...
std::unique_ptr< column >	copy_range (column_view const &source, column_view const &target, size_type source_begin, size_type source_end, size_type target_begin, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Copies a range of elements out-of-place from one column to another. More...
std::unique_ptr< column >	shift (column_view const &input, size_type offset, scalar const &fill_value, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Creates a new column by shifting all values by an offset. More...
std::vector< column_view >	slice (column_view const &input, host_span< size_type const > indices, rmm::cuda_stream_view stream=cudf::get_default_stream())
	Slices a column_view into a set of column_views according to a set of indices. More...
std::vector< column_view >	slice (column_view const &input, std::initializer_list< size_type > indices, rmm::cuda_stream_view stream=cudf::get_default_stream())
	Slices a column_view into a set of column_views according to a set of indices. More...
std::vector< table_view >	slice (table_view const &input, host_span< size_type const > indices, rmm::cuda_stream_view stream=cudf::get_default_stream())
	Slices a table_view into a set of table_views according to a set of indices. More...
std::vector< table_view >	slice (table_view const &input, std::initializer_list< size_type > indices, rmm::cuda_stream_view stream=cudf::get_default_stream())
	Slices a table_view into a set of table_views according to a set of indices. More...
std::vector< column_view >	split (column_view const &input, host_span< size_type const > splits, rmm::cuda_stream_view stream=cudf::get_default_stream())
	Splits a column_view into a set of column_views according to a set of indices derived from expected splits. More...
std::vector< column_view >	split (column_view const &input, std::initializer_list< size_type > splits, rmm::cuda_stream_view stream=cudf::get_default_stream())
	Splits a column_view into a set of column_views according to a set of indices derived from expected splits. More...
std::vector< table_view >	split (table_view const &input, host_span< size_type const > splits, rmm::cuda_stream_view stream=cudf::get_default_stream())
	Splits a table_view into a set of table_views according to a set of indices derived from expected splits. More...
std::vector< table_view >	split (table_view const &input, std::initializer_list< size_type > splits, rmm::cuda_stream_view stream=cudf::get_default_stream())
	Splits a table_view into a set of table_views according to a set of indices derived from expected splits. More...
std::unique_ptr< column >	copy_if_else (column_view const &lhs, column_view const &rhs, column_view const &boolean_mask, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Returns a new column, where each element is selected from either lhs or rhs based on the value of the corresponding element in boolean_mask. More...
std::unique_ptr< column >	copy_if_else (scalar const &lhs, column_view const &rhs, column_view const &boolean_mask, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Returns a new column, where each element is selected from either lhs or rhs based on the value of the corresponding element in boolean_mask. More...
std::unique_ptr< column >	copy_if_else (column_view const &lhs, scalar const &rhs, column_view const &boolean_mask, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Returns a new column, where each element is selected from either lhs or rhs based on the value of the corresponding element in boolean_mask. More...
std::unique_ptr< column >	copy_if_else (scalar const &lhs, scalar const &rhs, column_view const &boolean_mask, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Returns a new column, where each element is selected from either lhs or rhs based on the value of the corresponding element in boolean_mask. More...
std::unique_ptr< table >	boolean_mask_scatter (table_view const &input, table_view const &target, column_view const &boolean_mask, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Scatters rows from the input table to rows of the output corresponding to true values in a boolean mask. More...
std::unique_ptr< table >	boolean_mask_scatter (std::vector< std::reference_wrapper< scalar const >> const &input, table_view const &target, column_view const &boolean_mask, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Scatters scalar values to rows of the output corresponding to true values in a boolean mask. More...
std::unique_ptr< scalar >	get_element (column_view const &input, size_type index, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Get the element at specified index from a column. More...
std::unique_ptr< table >	sample (table_view const &input, size_type const n, sample_with_replacement replacement=sample_with_replacement::FALSE, int64_t const seed=0, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Gather n samples from given input randomly. More...
bool	has_nonempty_nulls (column_view const &input, rmm::cuda_stream_view stream=cudf::get_default_stream())
	Checks if a column or its descendants have non-empty null rows. More...
bool	may_have_nonempty_nulls (column_view const &input)
	Approximates if a column or its descendants may have non-empty null elements. More...
std::unique_ptr< column >	purge_nonempty_nulls (column_view const &input, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Copy input into output while purging any non-empty null rows in the column or its descendants. More...
std::unique_ptr< column >	make_dictionary_column (column_view const &keys_column, column_view const &indices_column, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Construct a dictionary column by copying the provided keys and indices. More...
std::unique_ptr< column >	make_dictionary_column (std::unique_ptr< column > keys_column, std::unique_ptr< column > indices_column, rmm::device_buffer &&null_mask, size_type null_count, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Construct a dictionary column by taking ownership of the provided keys and indices columns. More...
std::unique_ptr< column >	make_dictionary_column (std::unique_ptr< column > keys_column, std::unique_ptr< column > indices_column, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Construct a dictionary column by taking ownership of the provided keys and indices columns. More...
void	fill_in_place (mutable_column_view &destination, size_type begin, size_type end, scalar const &value, rmm::cuda_stream_view stream=cudf::get_default_stream())
	Fills a range of elements in-place in a column with a scalar value. More...
std::unique_ptr< column >	fill (column_view const &input, size_type begin, size_type end, scalar const &value, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Fills a range of elements in a column out-of-place with a scalar value. More...
std::unique_ptr< table >	repeat (table_view const &input_table, column_view const &count, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Repeat rows of a Table. More...
std::unique_ptr< table >	repeat (table_view const &input_table, size_type count, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Repeat rows of a Table. More...
std::unique_ptr< column >	sequence (size_type size, scalar const &init, scalar const &step, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Fills a column with a sequence of value specified by an initial value and a step. More...
std::unique_ptr< column >	sequence (size_type size, scalar const &init, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Fills a column with a sequence of value specified by an initial value and a step of 1. More...
std::unique_ptr< cudf::column >	calendrical_month_sequence (size_type size, scalar const &init, size_type months, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Generate a sequence of timestamps beginning at init and incrementing by months for each successive element, i.e., output[i] = init + i * months for i in [0, size). More...
std::unique_ptr< table >	from_dlpack (DLManagedTensor const *managed_tensor, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Convert a DLPack DLTensor into a cudf table. More...
DLManagedTensor *	to_dlpack (table_view const &input, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Convert a cudf table into a DLPack DLTensor. More...
std::shared_ptr< arrow::Table >	to_arrow (table_view input, std::vector< column_metadata > const &metadata={}, rmm::cuda_stream_view stream=cudf::get_default_stream(), arrow::MemoryPool *ar_mr=arrow::default_memory_pool())
	Create arrow::Table from cudf table input More...
std::shared_ptr< arrow::Scalar >	to_arrow (cudf::scalar const &input, column_metadata const &metadata={}, rmm::cuda_stream_view stream=cudf::get_default_stream(), arrow::MemoryPool *ar_mr=arrow::default_memory_pool())
	Create arrow::Scalar from cudf scalar input More...
unique_schema_t	to_arrow_schema (cudf::table_view const &input, cudf::host_span< column_metadata const > metadata)
	Create ArrowSchema from cudf table and metadata. More...
unique_device_array_t	to_arrow_device (cudf::table &&table, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Create ArrowDeviceArray from cudf table and metadata. More...
unique_device_array_t	to_arrow_device (cudf::column &&col, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Create ArrowDeviceArray from cudf column and metadata. More...
unique_device_array_t	to_arrow_device (cudf::table_view const &table, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Create ArrowDeviceArray from a table view. More...
unique_device_array_t	to_arrow_device (cudf::column_view const &col, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Create ArrowDeviceArray from a column view. More...
unique_device_array_t	to_arrow_host (cudf::table_view const &table, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Copy table view data to host and create ArrowDeviceArray for it. More...
unique_device_array_t	to_arrow_host (cudf::column_view const &col, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Copy column view data to host and create ArrowDeviceArray for it. More...
std::unique_ptr< table >	from_arrow (arrow::Table const &input, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Create cudf::table from given arrow Table input. More...
std::unique_ptr< cudf::scalar >	from_arrow (arrow::Scalar const &input, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Create cudf::scalar from given arrow Scalar input. More...
std::unique_ptr< cudf::table >	from_arrow (ArrowSchema const *schema, ArrowArray const *input, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Create cudf::table from given ArrowArray and ArrowSchema input. More...
std::unique_ptr< cudf::column >	from_arrow_column (ArrowSchema const *schema, ArrowArray const *input, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Create cudf::column from a given ArrowArray and ArrowSchema input. More...
std::unique_ptr< table >	from_arrow_host (ArrowSchema const *schema, ArrowDeviceArray const *input, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Create cudf::table from given ArrowDeviceArray input. More...
std::unique_ptr< table >	from_arrow_stream (ArrowArrayStream *input, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Create cudf::table from given ArrowArrayStream input. More...
std::unique_ptr< column >	from_arrow_host_column (ArrowSchema const *schema, ArrowDeviceArray const *input, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Create cudf::column from given ArrowDeviceArray input. More...
unique_table_view_t	from_arrow_device (ArrowSchema const *schema, ArrowDeviceArray const *input, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Create cudf::table_view from given ArrowDeviceArray and ArrowSchema More...
unique_column_view_t	from_arrow_device_column (ArrowSchema const *schema, ArrowDeviceArray const *input, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Create cudf::column_view from given ArrowDeviceArray and ArrowSchema More...
std::pair< std::unique_ptr< rmm::device_uvector< size_type > >, std::unique_ptr< rmm::device_uvector< size_type > > >	inner_join (cudf::table_view const &left_keys, cudf::table_view const &right_keys, null_equality compare_nulls=null_equality::EQUAL, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Returns a pair of row index vectors corresponding to an inner join between the specified tables. More...
std::pair< std::unique_ptr< rmm::device_uvector< size_type > >, std::unique_ptr< rmm::device_uvector< size_type > > >	left_join (cudf::table_view const &left_keys, cudf::table_view const &right_keys, null_equality compare_nulls=null_equality::EQUAL, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Returns a pair of row index vectors corresponding to a left join between the specified tables. More...
std::pair< std::unique_ptr< rmm::device_uvector< size_type > >, std::unique_ptr< rmm::device_uvector< size_type > > >	full_join (cudf::table_view const &left_keys, cudf::table_view const &right_keys, null_equality compare_nulls=null_equality::EQUAL, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Returns a pair of row index vectors corresponding to a full join between the specified tables. More...
std::unique_ptr< rmm::device_uvector< size_type > >	left_semi_join (cudf::table_view const &left_keys, cudf::table_view const &right_keys, null_equality compare_nulls=null_equality::EQUAL, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Returns a vector of row indices corresponding to a left semi-join between the specified tables. More...
std::unique_ptr< rmm::device_uvector< size_type > >	left_anti_join (cudf::table_view const &left_keys, cudf::table_view const &right_keys, null_equality compare_nulls=null_equality::EQUAL, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Returns a vector of row indices corresponding to a left anti join between the specified tables. More...
std::unique_ptr< cudf::table >	cross_join (cudf::table_view const &left, cudf::table_view const &right, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Performs a cross join on two tables (left, right) More...
std::pair< std::unique_ptr< rmm::device_uvector< size_type > >, std::unique_ptr< rmm::device_uvector< size_type > > >	conditional_inner_join (table_view const &left, table_view const &right, ast::expression const &binary_predicate, std::optional< std::size_t > output_size={}, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Returns a pair of row index vectors corresponding to all pairs of rows between the specified tables where the predicate evaluates to true. More...
std::pair< std::unique_ptr< rmm::device_uvector< size_type > >, std::unique_ptr< rmm::device_uvector< size_type > > >	conditional_left_join (table_view const &left, table_view const &right, ast::expression const &binary_predicate, std::optional< std::size_t > output_size={}, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Returns a pair of row index vectors corresponding to all pairs of rows between the specified tables where the predicate evaluates to true, or null matches for rows in left that have no match in right. More...
std::pair< std::unique_ptr< rmm::device_uvector< size_type > >, std::unique_ptr< rmm::device_uvector< size_type > > >	conditional_full_join (table_view const &left, table_view const &right, ast::expression const &binary_predicate, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Returns a pair of row index vectors corresponding to all pairs of rows between the specified tables where the predicate evaluates to true, or null matches for rows in either table that have no match in the other. More...
std::unique_ptr< rmm::device_uvector< size_type > >	conditional_left_semi_join (table_view const &left, table_view const &right, ast::expression const &binary_predicate, std::optional< std::size_t > output_size={}, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Returns an index vector corresponding to all rows in the left table for which there exists some row in the right table where the predicate evaluates to true. More...
std::unique_ptr< rmm::device_uvector< size_type > >	conditional_left_anti_join (table_view const &left, table_view const &right, ast::expression const &binary_predicate, std::optional< std::size_t > output_size={}, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Returns an index vector corresponding to all rows in the left table for which there does not exist any row in the right table where the predicate evaluates to true. More...
std::pair< std::unique_ptr< rmm::device_uvector< size_type > >, std::unique_ptr< rmm::device_uvector< size_type > > >	mixed_inner_join (table_view const &left_equality, table_view const &right_equality, table_view const &left_conditional, table_view const &right_conditional, ast::expression const &binary_predicate, null_equality compare_nulls=null_equality::EQUAL, std::optional< std::pair< std::size_t, device_span< size_type const >>> output_size_data={}, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Returns a pair of row index vectors corresponding to all pairs of rows between the specified tables where the columns of the equality table are equal and the predicate evaluates to true on the conditional tables. More...
std::pair< std::unique_ptr< rmm::device_uvector< size_type > >, std::unique_ptr< rmm::device_uvector< size_type > > >	mixed_left_join (table_view const &left_equality, table_view const &right_equality, table_view const &left_conditional, table_view const &right_conditional, ast::expression const &binary_predicate, null_equality compare_nulls=null_equality::EQUAL, std::optional< std::pair< std::size_t, device_span< size_type const >>> output_size_data={}, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Returns a pair of row index vectors corresponding to all pairs of rows between the specified tables where the columns of the equality table are equal and the predicate evaluates to true on the conditional tables, or null matches for rows in left that have no match in right. More...
std::pair< std::unique_ptr< rmm::device_uvector< size_type > >, std::unique_ptr< rmm::device_uvector< size_type > > >	mixed_full_join (table_view const &left_equality, table_view const &right_equality, table_view const &left_conditional, table_view const &right_conditional, ast::expression const &binary_predicate, null_equality compare_nulls=null_equality::EQUAL, std::optional< std::pair< std::size_t, device_span< size_type const >>> output_size_data={}, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Returns a pair of row index vectors corresponding to all pairs of rows between the specified tables where the columns of the equality table are equal and the predicate evaluates to true on the conditional tables, or null matches for rows in either pair of tables that have no matches in the other pair. More...
std::unique_ptr< rmm::device_uvector< size_type > >	mixed_left_semi_join (table_view const &left_equality, table_view const &right_equality, table_view const &left_conditional, table_view const &right_conditional, ast::expression const &binary_predicate, null_equality compare_nulls=null_equality::EQUAL, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Returns an index vector corresponding to all rows in the left tables where the columns of the equality table are equal and the predicate evaluates to true on the conditional tables. More...
std::unique_ptr< rmm::device_uvector< size_type > >	mixed_left_anti_join (table_view const &left_equality, table_view const &right_equality, table_view const &left_conditional, table_view const &right_conditional, ast::expression const &binary_predicate, null_equality compare_nulls=null_equality::EQUAL, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Returns an index vector corresponding to all rows in the left tables for which there is no row in the right tables where the columns of the equality table are equal and the predicate evaluates to true on the conditional tables. More...
std::pair< std::size_t, std::unique_ptr< rmm::device_uvector< size_type > > >	mixed_inner_join_size (table_view const &left_equality, table_view const &right_equality, table_view const &left_conditional, table_view const &right_conditional, ast::expression const &binary_predicate, null_equality compare_nulls=null_equality::EQUAL, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Returns the exact number of matches (rows) when performing a mixed inner join between the specified tables where the columns of the equality table are equal and the predicate evaluates to true on the conditional tables. More...
std::pair< std::size_t, std::unique_ptr< rmm::device_uvector< size_type > > >	mixed_left_join_size (table_view const &left_equality, table_view const &right_equality, table_view const &left_conditional, table_view const &right_conditional, ast::expression const &binary_predicate, null_equality compare_nulls=null_equality::EQUAL, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Returns the exact number of matches (rows) when performing a mixed left join between the specified tables where the columns of the equality table are equal and the predicate evaluates to true on the conditional tables. More...
std::size_t	conditional_inner_join_size (table_view const &left, table_view const &right, ast::expression const &binary_predicate, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Returns the exact number of matches (rows) when performing a conditional inner join between the specified tables where the predicate evaluates to true. More...
std::size_t	conditional_left_join_size (table_view const &left, table_view const &right, ast::expression const &binary_predicate, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Returns the exact number of matches (rows) when performing a conditional left join between the specified tables where the predicate evaluates to true. More...
std::size_t	conditional_left_semi_join_size (table_view const &left, table_view const &right, ast::expression const &binary_predicate, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Returns the exact number of matches (rows) when performing a conditional left semi join between the specified tables where the predicate evaluates to true. More...
std::size_t	conditional_left_anti_join_size (table_view const &left, table_view const &right, ast::expression const &binary_predicate, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Returns the exact number of matches (rows) when performing a conditional left anti join between the specified tables where the predicate evaluates to true. More...
std::unique_ptr< cudf::column >	get_json_object (cudf::strings_column_view const &col, cudf::string_scalar const &json_path, get_json_object_options options=get_json_object_options{}, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Apply a JSONPath string to all rows in an input strings column. More...
std::unique_ptr< column >	label_bins (column_view const &input, column_view const &left_edges, inclusive left_inclusive, column_view const &right_edges, inclusive right_inclusive, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Labels elements based on membership in the specified bins. More...
std::unique_ptr< table >	explode (table_view const &input_table, size_type explode_column_idx, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Explodes a list column's elements. More...
std::unique_ptr< table >	explode_position (table_view const &input_table, size_type explode_column_idx, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Explodes a list column's elements and includes a position column. More...
std::unique_ptr< table >	explode_outer (table_view const &input_table, size_type explode_column_idx, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Explodes a list column's elements retaining any null entries or empty lists inside. More...
std::unique_ptr< table >	explode_outer_position (table_view const &input_table, size_type explode_column_idx, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Explodes a list column's elements retaining any null entries or empty lists and includes a position column. More...
CUDF_HOST_DEVICE auto	make_list_size_iterator (detail::lists_column_device_view const &c)
	Makes an iterator that returns size of the list by row index. More...
std::unique_ptr< cudf::table >	merge (std::vector< table_view > const &tables_to_merge, std::vector< cudf::size_type > const &key_cols, std::vector< cudf::order > const &column_order, std::vector< cudf::null_order > const &null_precedence={}, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Merge a set of sorted tables. More...
size_type	state_null_count (mask_state state, size_type size)
	Returns the null count for a null mask of the specified state representing size elements. More...
std::size_t	bitmask_allocation_size_bytes (size_type number_of_bits, std::size_t padding_boundary=64)
	Computes the required bytes necessary to represent the specified number of bits with a given padding boundary. More...
size_type	num_bitmask_words (size_type number_of_bits)
	Returns the number of bitmask_type words required to represent the specified number of bits. More...
rmm::device_buffer	create_null_mask (size_type size, mask_state state, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Creates a device_buffer for use as a null value indicator bitmask of a column. More...
void	set_null_mask (bitmask_type *bitmask, size_type begin_bit, size_type end_bit, bool valid, rmm::cuda_stream_view stream=cudf::get_default_stream())
	Sets a pre-allocated bitmask buffer to a given state in the range [begin_bit, end_bit) More...
rmm::device_buffer	copy_bitmask (bitmask_type const *mask, size_type begin_bit, size_type end_bit, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Creates a device_buffer from a slice of bitmask defined by a range of indices [begin_bit, end_bit). More...
rmm::device_buffer	copy_bitmask (column_view const &view, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Copies view's bitmask from the bits [view.offset(), view.offset() + view.size()) into a device_buffer More...
std::pair< rmm::device_buffer, size_type >	bitmask_and (table_view const &view, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Performs bitwise AND of the bitmasks of columns of a table. Returns a pair of resulting mask and count of unset bits. More...
std::pair< rmm::device_buffer, size_type >	bitmask_or (table_view const &view, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Performs bitwise OR of the bitmasks of columns of a table. Returns a pair of resulting mask and count of unset bits. More...
cudf::size_type	null_count (bitmask_type const *bitmask, size_type start, size_type stop, rmm::cuda_stream_view stream=cudf::get_default_stream())
	Given a validity bitmask, counts the number of null elements (unset bits) in the range [start, stop). More...
std::pair< std::unique_ptr< table >, std::vector< size_type > >	partition (table_view const &t, column_view const &partition_map, size_type num_partitions, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Partitions rows of t according to the mapping specified by partition_map. More...
std::pair< std::unique_ptr< table >, std::vector< size_type > >	hash_partition (table_view const &input, std::vector< size_type > const &columns_to_hash, int num_partitions, hash_id hash_function=hash_id::HASH_MURMUR3, uint32_t seed=DEFAULT_HASH_SEED, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Partitions rows from the input table into multiple output tables. More...
std::pair< std::unique_ptr< cudf::table >, std::vector< cudf::size_type > >	round_robin_partition (table_view const &input, cudf::size_type num_partitions, cudf::size_type start_partition=0, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Round-robin partition. More...
std::unique_ptr< column >	quantile (column_view const &input, std::vector< double > const &q, interpolation interp=interpolation::LINEAR, column_view const &ordered_indices={}, bool exact=true, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Computes quantiles with interpolation. More...
std::unique_ptr< table >	quantiles (table_view const &input, std::vector< double > const &q, interpolation interp=interpolation::NEAREST, cudf::sorted is_input_sorted=sorted::NO, std::vector< order > const &column_order={}, std::vector< null_order > const &null_precedence={}, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Returns the rows of the input corresponding to the requested quantiles. More...
std::unique_ptr< column >	percentile_approx (tdigest::tdigest_column_view const &input, column_view const &percentiles, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Calculate approximate percentiles on an input tdigest column. More...
std::unique_ptr< scalar >	reduce (column_view const &col, reduce_aggregation const &agg, data_type output_dtype, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Computes the reduction of the values in all rows of a column. More...
std::unique_ptr< scalar >	reduce (column_view const &col, reduce_aggregation const &agg, data_type output_dtype, std::optional< std::reference_wrapper< scalar const >> init, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Computes the reduction of the values in all rows of a column with an initial value. More...
std::unique_ptr< column >	segmented_reduce (column_view const &segmented_values, device_span< size_type const > offsets, segmented_reduce_aggregation const &agg, data_type output_dtype, null_policy null_handling, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Compute reduction of each segment in the input column. More...
std::unique_ptr< column >	segmented_reduce (column_view const &segmented_values, device_span< size_type const > offsets, segmented_reduce_aggregation const &agg, data_type output_dtype, null_policy null_handling, std::optional< std::reference_wrapper< scalar const >> init, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Compute reduction of each segment in the input column with an initial value. Only SUM, PRODUCT, MIN, MAX, ANY, and ALL aggregations are supported. More...
std::unique_ptr< column >	scan (column_view const &input, scan_aggregation const &agg, scan_type inclusive, null_policy null_handling=null_policy::EXCLUDE, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Computes the scan of a column. More...
std::pair< std::unique_ptr< scalar >, std::unique_ptr< scalar > >	minmax (column_view const &col, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Determines the minimum and maximum values of a column. More...
std::unique_ptr< column >	replace_nulls (column_view const &input, column_view const &replacement, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Replaces all null values in a column with corresponding values of another column. More...
std::unique_ptr< column >	replace_nulls (column_view const &input, scalar const &replacement, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Replaces all null values in a column with a scalar. More...
std::unique_ptr< column >	replace_nulls (column_view const &input, replace_policy const &replace_policy, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Replaces all null values in a column with the first non-null value that precedes/follows. More...
std::unique_ptr< column >	replace_nans (column_view const &input, column_view const &replacement, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Replaces all NaN values in a column with corresponding values from another column. More...
std::unique_ptr< column >	replace_nans (column_view const &input, scalar const &replacement, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Replaces all NaN values in a column with a scalar. More...
std::unique_ptr< column >	find_and_replace_all (column_view const &input_col, column_view const &values_to_replace, column_view const &replacement_values, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Return a copy of input_col replacing any values_to_replace[i] found with replacement_values[i]. More...
std::unique_ptr< column >	clamp (column_view const &input, scalar const &lo, scalar const &lo_replace, scalar const &hi, scalar const &hi_replace, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Replaces values less than lo in input with lo_replace, and values greater than hi with hi_replace. More...
std::unique_ptr< column >	clamp (column_view const &input, scalar const &lo, scalar const &hi, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Replaces values less than lo in input with lo, and values greater than hi with hi. More...
std::unique_ptr< column >	normalize_nans_and_zeros (column_view const &input, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Copies from a column of floating-point elements and replaces -NaN and -0.0 with +NaN and +0.0, respectively. More...
void	normalize_nans_and_zeros (mutable_column_view &in_out, rmm::cuda_stream_view stream=cudf::get_default_stream())
	Modifies a column of floating-point elements to replace all -NaN and -0.0 with +NaN and +0.0, respectively. More...
std::unique_ptr< column >	interleave_columns (table_view const &input, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Interleave columns of a table into a single column. More...
std::unique_ptr< table >	tile (table_view const &input, size_type count, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Repeats the rows from input table count times to form a new table. More...
std::unique_ptr< column >	byte_cast (column_view const &input_column, flip_endianness endian_configuration, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Converts a column's elements to lists of bytes. More...
std::unique_ptr< column >	rolling_window (column_view const &input, size_type preceding_window, size_type following_window, size_type min_periods, rolling_aggregation const &agg, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Applies a fixed-size rolling window function to the values in a column. More...
std::unique_ptr< column >	rolling_window (column_view const &input, column_view const &default_outputs, size_type preceding_window, size_type following_window, size_type min_periods, rolling_aggregation const &agg, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Applies a fixed-size rolling window function to the values in a column. More...
std::unique_ptr< column >	grouped_rolling_window (table_view const &group_keys, column_view const &input, size_type preceding_window, size_type following_window, size_type min_periods, rolling_aggregation const &aggr, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Applies a grouping-aware, fixed-size rolling window function to the values in a column. More...
std::unique_ptr< column >	grouped_rolling_window (table_view const &group_keys, column_view const &input, window_bounds preceding_window, window_bounds following_window, size_type min_periods, rolling_aggregation const &aggr, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Applies a grouping-aware, fixed-size rolling window function to the values in a column. More...
std::unique_ptr< column >	grouped_rolling_window (table_view const &group_keys, column_view const &input, column_view const &default_outputs, size_type preceding_window, size_type following_window, size_type min_periods, rolling_aggregation const &aggr, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Applies a grouping-aware, fixed-size rolling window function to the values in a column. More...
std::unique_ptr< column >	grouped_rolling_window (table_view const &group_keys, column_view const &input, column_view const &default_outputs, window_bounds preceding_window, window_bounds following_window, size_type min_periods, rolling_aggregation const &aggr, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Applies a grouping-aware, fixed-size rolling window function to the values in a column. More...
std::unique_ptr< column >	grouped_time_range_rolling_window (table_view const &group_keys, column_view const &timestamp_column, cudf::order const &timestamp_order, column_view const &input, size_type preceding_window_in_days, size_type following_window_in_days, size_type min_periods, rolling_aggregation const &aggr, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Applies a grouping-aware, timestamp-based rolling window function to the values in a column. More...
std::unique_ptr< column >	grouped_time_range_rolling_window (table_view const &group_keys, column_view const &timestamp_column, cudf::order const &timestamp_order, column_view const &input, window_bounds preceding_window_in_days, window_bounds following_window_in_days, size_type min_periods, rolling_aggregation const &aggr, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Applies a grouping-aware, timestamp-based rolling window function to the values in a column,. More...
std::unique_ptr< column >	grouped_range_rolling_window (table_view const &group_keys, column_view const &orderby_column, cudf::order const &order, column_view const &input, range_window_bounds const &preceding, range_window_bounds const &following, size_type min_periods, rolling_aggregation const &aggr, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Applies a grouping-aware, value range-based rolling window function to the values in a column. More...
std::unique_ptr< column >	rolling_window (column_view const &input, column_view const &preceding_window, column_view const &following_window, size_type min_periods, rolling_aggregation const &agg, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Applies a variable-size rolling window function to the values in a column. More...
std::unique_ptr< column >	round (column_view const &input, int32_t decimal_places=0, rounding_method method=rounding_method::HALF_UP, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Rounds all the values in a column to the specified number of decimal places. More...
template<typename T >
auto	get_scalar_device_view (numeric_scalar< T > &s)
	Get the device view of a numeric_scalar. More...
auto	get_scalar_device_view (string_scalar &s)
	Get the device view of a string_scalar. More...
template<typename T >
auto	get_scalar_device_view (timestamp_scalar< T > &s)
	Get the device view of a timestamp_scalar. More...
template<typename T >
auto	get_scalar_device_view (duration_scalar< T > &s)
	Get the device view of a duration_scalar. More...
template<typename T >
auto	get_scalar_device_view (fixed_point_scalar< T > &s)
	Get the device view of a fixed_point_scalar. More...
std::unique_ptr< scalar >	make_numeric_scalar (data_type type, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Construct scalar with uninitialized storage to hold a value of the specified numeric data_type. More...
std::unique_ptr< scalar >	make_timestamp_scalar (data_type type, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Construct scalar with uninitialized storage to hold a value of the specified timestamp data_type. More...
std::unique_ptr< scalar >	make_duration_scalar (data_type type, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Construct scalar with uninitialized storage to hold a value of the specified duration data_type. More...
std::unique_ptr< scalar >	make_fixed_width_scalar (data_type type, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Construct scalar with uninitialized storage to hold a value of the specified fixed-width data_type. More...
std::unique_ptr< scalar >	make_string_scalar (std::string const &string, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Construct STRING type scalar given a std::string. The size of the std::string must not exceed the maximum size of size_type. The string characters are expected to be UTF-8 encoded sequence of char bytes. More...
std::unique_ptr< scalar >	make_default_constructed_scalar (data_type type, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Constructs default constructed scalar of type type More...
std::unique_ptr< scalar >	make_empty_scalar_like (column_view const &input, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Creates an empty (invalid) scalar of the same type as the input column_view. More...
template<typename T >
std::unique_ptr< scalar >	make_fixed_width_scalar (T value, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Construct scalar using the given value of fixed width type. More...
template<typename T >
std::unique_ptr< scalar >	make_fixed_point_scalar (typename T::rep value, numeric::scale_type scale, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Construct scalar using the given value of fixed_point type. More...
std::unique_ptr< scalar >	make_list_scalar (column_view elements, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Construct scalar using the given column of elements. More...
std::unique_ptr< scalar >	make_struct_scalar (table_view const &data, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Construct a struct scalar using the given table_view. More...
std::unique_ptr< scalar >	make_struct_scalar (host_span< column_view const > data, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Construct a struct scalar using the given span of column views. More...
std::unique_ptr< column >	lower_bound (table_view const &haystack, table_view const &needles, std::vector< order > const &column_order, std::vector< null_order > const &null_precedence, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Find smallest indices in a sorted table where values should be inserted to maintain order. More...
std::unique_ptr< column >	upper_bound (table_view const &haystack, table_view const &needles, std::vector< order > const &column_order, std::vector< null_order > const &null_precedence, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Find largest indices in a sorted table where values should be inserted to maintain order. More...
bool	contains (column_view const &haystack, scalar const &needle, rmm::cuda_stream_view stream=cudf::get_default_stream())
	Check if the given needle value exists in the haystack column. More...
std::unique_ptr< column >	contains (column_view const &haystack, column_view const &needles, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Check if the given needles values exists in the haystack column. More...
std::unique_ptr< column >	sorted_order (table_view const &input, std::vector< order > const &column_order={}, std::vector< null_order > const &null_precedence={}, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Computes the row indices that would produce input in a lexicographical sorted order. More...
std::unique_ptr< column >	stable_sorted_order (table_view const &input, std::vector< order > const &column_order={}, std::vector< null_order > const &null_precedence={}, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Computes the row indices that would produce input in a stable lexicographical sorted order. More...
bool	is_sorted (cudf::table_view const &table, std::vector< order > const &column_order, std::vector< null_order > const &null_precedence, rmm::cuda_stream_view stream=cudf::get_default_stream())
	Checks whether the rows of a table are sorted in a lexicographical order. More...
std::unique_ptr< table >	sort (table_view const &input, std::vector< order > const &column_order={}, std::vector< null_order > const &null_precedence={}, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Performs a lexicographic sort of the rows of a table. More...
std::unique_ptr< table >	stable_sort (table_view const &input, std::vector< order > const &column_order={}, std::vector< null_order > const &null_precedence={}, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Performs a stable lexicographic sort of the rows of a table. More...
std::unique_ptr< table >	sort_by_key (table_view const &values, table_view const &keys, std::vector< order > const &column_order={}, std::vector< null_order > const &null_precedence={}, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Performs a key-value sort. More...
std::unique_ptr< table >	stable_sort_by_key (table_view const &values, table_view const &keys, std::vector< order > const &column_order={}, std::vector< null_order > const &null_precedence={}, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Performs a key-value stable sort. More...
std::unique_ptr< column >	rank (column_view const &input, rank_method method, order column_order, null_policy null_handling, null_order null_precedence, bool percentage, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Computes the ranks of input column in sorted order. More...
std::unique_ptr< column >	segmented_sorted_order (table_view const &keys, column_view const &segment_offsets, std::vector< order > const &column_order={}, std::vector< null_order > const &null_precedence={}, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Returns sorted order after sorting each segment in the table. More...
std::unique_ptr< column >	stable_segmented_sorted_order (table_view const &keys, column_view const &segment_offsets, std::vector< order > const &column_order={}, std::vector< null_order > const &null_precedence={}, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Returns sorted order after stably sorting each segment in the table. More...
std::unique_ptr< table >	segmented_sort_by_key (table_view const &values, table_view const &keys, column_view const &segment_offsets, std::vector< order > const &column_order={}, std::vector< null_order > const &null_precedence={}, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Performs a lexicographic segmented sort of a table. More...
std::unique_ptr< table >	stable_segmented_sort_by_key (table_view const &values, table_view const &keys, column_view const &segment_offsets, std::vector< order > const &column_order={}, std::vector< null_order > const &null_precedence={}, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Performs a stably lexicographic segmented sort of a table. More...
std::unique_ptr< table >	drop_nulls (table_view const &input, std::vector< size_type > const &keys, cudf::size_type keep_threshold, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Filters a table to remove null elements with threshold count. More...
std::unique_ptr< table >	drop_nulls (table_view const &input, std::vector< size_type > const &keys, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Filters a table to remove null elements. More...
std::unique_ptr< table >	drop_nans (table_view const &input, std::vector< size_type > const &keys, cudf::size_type keep_threshold, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Filters a table to remove NANs with threshold count. More...
std::unique_ptr< table >	drop_nans (table_view const &input, std::vector< size_type > const &keys, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Filters a table to remove NANs. More...
std::unique_ptr< table >	apply_boolean_mask (table_view const &input, column_view const &boolean_mask, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Filters input using boolean_mask of boolean values as a mask. More...
std::unique_ptr< table >	unique (table_view const &input, std::vector< size_type > const &keys, duplicate_keep_option keep, null_equality nulls_equal=null_equality::EQUAL, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Create a new table with consecutive duplicate rows removed. More...
std::unique_ptr< table >	distinct (table_view const &input, std::vector< size_type > const &keys, duplicate_keep_option keep=duplicate_keep_option::KEEP_ANY, null_equality nulls_equal=null_equality::EQUAL, nan_equality nans_equal=nan_equality::ALL_EQUAL, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Create a new table without duplicate rows. More...
std::unique_ptr< column >	distinct_indices (table_view const &input, duplicate_keep_option keep=duplicate_keep_option::KEEP_ANY, null_equality nulls_equal=null_equality::EQUAL, nan_equality nans_equal=nan_equality::ALL_EQUAL, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Create a column of indices of all distinct rows in the input table. More...
std::unique_ptr< table >	stable_distinct (table_view const &input, std::vector< size_type > const &keys, duplicate_keep_option keep=duplicate_keep_option::KEEP_ANY, null_equality nulls_equal=null_equality::EQUAL, nan_equality nans_equal=nan_equality::ALL_EQUAL, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Create a new table without duplicate rows, preserving input order. More...
cudf::size_type	unique_count (column_view const &input, null_policy null_handling, nan_policy nan_handling)
	Count the number of consecutive groups of equivalent rows in a column. More...
cudf::size_type	unique_count (table_view const &input, null_equality nulls_equal=null_equality::EQUAL)
	Count the number of consecutive groups of equivalent rows in a table. More...
cudf::size_type	distinct_count (column_view const &input, null_policy null_handling, nan_policy nan_handling)
	Count the distinct elements in the column_view. More...
cudf::size_type	distinct_count (table_view const &input, null_equality nulls_equal=null_equality::EQUAL)
	Count the distinct rows in a table. More...
template<typename Element , std::enable_if_t< std::is_floating_point_v< Element >> * = nullptr>
weak_ordering	relational_compare (Element lhs, Element rhs)
	A specialization for floating-point Element type relational comparison to derive the order of the elements with respect to lhs. More...
auto	null_compare (bool lhs_is_null, bool rhs_is_null, null_order null_precedence)
	Compare the nulls according to null order. More...
template<typename Element , std::enable_if_t< std::is_floating_point_v< Element >> * = nullptr>
bool	equality_compare (Element lhs, Element rhs)
	A specialization for floating-point Element type to check if lhs is equivalent to rhs. nan == nan. More...
template<typename ColumnDeviceView , typename HostTableView >
auto	contiguous_copy_column_device_views (HostTableView source_view, rmm::cuda_stream_view stream)
	Copies the contents of a table_view to a column device view in contiguous device memory. More...
bool	has_nested_columns (table_view const &table)
	Determine if any nested columns exist in a given table. More...
bool	nullable (table_view const &view)
	Returns True if any of the columns in the table is nullable. (not entire hierarchy) More...
bool	has_nulls (table_view const &view)
	Returns True if the table has nulls in any of its columns. More...
bool	has_nested_nulls (table_view const &input)
	Returns True if the table has nulls in any of its columns hierarchy. More...
bool	has_nested_nullable_columns (table_view const &input)
	Returns True if the table has a nullable column at any level of the column hierarchy. More...
std::vector< column_view >	get_nullable_columns (table_view const &table)
	The function to collect all nullable columns at all nested levels in a given table. More...
table_view	scatter_columns (table_view const &source, std::vector< size_type > const &map, table_view const &target)
	Copy column_views from a table_view into another table_view according to a column indices map. More...
std::unique_ptr< table >	make_timezone_transition_table (std::optional< std::string_view > tzif_dir, std::string_view timezone_name, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Creates a transition table to convert ORC timestamps to UTC. More...
std::unique_ptr< column >	transform (column_view const &input, std::string const &unary_udf, data_type output_type, bool is_ptx, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Creates a new column by applying a unary function against every element of an input column. More...
std::pair< std::unique_ptr< rmm::device_buffer >, size_type >	nans_to_nulls (column_view const &input, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Creates a null_mask from input by converting NaN to null and preserving existing null values and also returns new null_count. More...
std::unique_ptr< column >	compute_column (table_view const &table, ast::expression const &expr, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Compute a new column by evaluating an expression tree on a table. More...
std::pair< std::unique_ptr< rmm::device_buffer >, cudf::size_type >	bools_to_mask (column_view const &input, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Creates a bitmask from a column of boolean elements. More...
std::pair< std::unique_ptr< cudf::table >, std::unique_ptr< cudf::column > >	encode (cudf::table_view const &input, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Encode the rows of the given table as integers. More...
std::pair< std::unique_ptr< column >, table_view >	one_hot_encode (column_view const &input, column_view const &categories, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Encodes input by generating a new column for each value in categories indicating the presence of that value in input. More...
std::unique_ptr< column >	mask_to_bools (bitmask_type const *bitmask, size_type begin_bit, size_type end_bit, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Creates a boolean column from given bitmask. More...
std::unique_ptr< column >	row_bit_count (table_view const &t, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Returns an approximate cumulative size in bits of all columns in the table_view for each row. More...
std::unique_ptr< column >	segmented_row_bit_count (table_view const &t, size_type segment_length, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Returns an approximate cumulative size in bits of all columns in the table_view for each segment of rows. More...
std::pair< std::unique_ptr< column >, table_view >	transpose (table_view const &input, rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Transposes a table. More...
template<typename T >
size_type	distance (T f, T l)
	Similar to std::distance but returns cudf::size_type and performs static_cast More...
constexpr bool	operator== (data_type const &lhs, data_type const &rhs)
	Compares two data_type objects for equality. More...
bool	operator!= (data_type const &lhs, data_type const &rhs)
	Compares two data_type objects for inequality. More...
std::size_t	size_of (data_type t)
	Returns the size in bytes of elements of the specified data_type More...
template<typename Fixed , typename Floating , CUDF_ENABLE_IF(cuda::std::is_floating_point_v< Floating > &&is_fixed_point< Fixed >()) >
CUDF_HOST_DEVICE Fixed	convert_floating_to_fixed (Floating floating, numeric::scale_type scale)
	Convert a floating-point value to fixed point. More...
template<typename Floating , typename Fixed , CUDF_ENABLE_IF(cuda::std::is_floating_point_v< Floating > &&is_fixed_point< Fixed >()) >
CUDF_HOST_DEVICE Floating	convert_fixed_to_floating (Fixed fixed)
	Convert a fixed-point value to floating point. More...
template<typename Floating , typename Input , CUDF_ENABLE_IF(cuda::std::is_floating_point_v< Floating >) >
CUDF_HOST_DEVICE Floating	convert_to_floating (Input input)
	Convert a value to floating point. More...
std::unique_ptr< cudf::column >	unary_operation (cudf::column_view const &input, cudf::unary_operator op, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Performs unary op on all values in column. More...
std::unique_ptr< cudf::column >	is_null (cudf::column_view const &input, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Creates a column of type_id::BOOL8 elements where for every element in input true indicates the value is null and false indicates the value is valid. More...
std::unique_ptr< cudf::column >	is_valid (cudf::column_view const &input, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Creates a column of type_id::BOOL8 elements where for every element in input true indicates the value is valid and false indicates the value is null. More...
std::unique_ptr< column >	cast (column_view const &input, data_type out_type, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Casts data from dtype specified in input to dtype specified in output. More...
bool	is_supported_cast (data_type from, data_type to) noexcept
	Check if a cast between two datatypes is supported. More...
std::unique_ptr< column >	is_nan (cudf::column_view const &input, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Creates a column of type_id::BOOL8 elements indicating the presence of NaN values in a column of floating point values. The output element at row i is true if the element in input at row i is NAN, else false More...
std::unique_ptr< column >	is_not_nan (cudf::column_view const &input, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=rmm::mr::get_current_device_resource())
	Creates a column of type_id::BOOL8 elements indicating the absence of NaN values in a column of floating point values. The output element at row i is false if the element in input at row i is NAN, else true More...
constexpr CUDF_HOST_DEVICE size_type	word_index (size_type bit_index)
	Returns the index of the word containing the specified bit. More...
constexpr CUDF_HOST_DEVICE size_type	intra_word_index (size_type bit_index)
	Returns the position within a word of the specified bit. More...
CUDF_HOST_DEVICE void	set_bit_unsafe (bitmask_type *bitmask, size_type bit_index)
	Sets the specified bit to 1 More...
CUDF_HOST_DEVICE void	clear_bit_unsafe (bitmask_type *bitmask, size_type bit_index)
	Sets the specified bit to 0 More...
CUDF_HOST_DEVICE bool	bit_is_set (bitmask_type const *bitmask, size_type bit_index)
	Indicates whether the specified bit is set to 1 More...
CUDF_HOST_DEVICE bool	bit_value_or (bitmask_type const *bitmask, size_type bit_index, bool default_value)
	optional-like interface to check if a specified bit of a bitmask is set. More...
constexpr CUDF_HOST_DEVICE bitmask_type	set_least_significant_bits (size_type n)
	Returns a bitmask word with the n least significant bits set. More...
constexpr CUDF_HOST_DEVICE bitmask_type	set_most_significant_bits (size_type n)
	Returns a bitmask word with the n most significant bits set. More...
rmm::cuda_stream_view const	get_default_stream ()
	Get the current default stream. More...
bool	is_ptds_enabled ()
	Check if per-thread default stream is enabled. More...
spdlog::logger &	logger ()
	Returns the global logger. More...
rmm::host_device_async_resource_ref	set_pinned_memory_resource (rmm::host_device_async_resource_ref mr)
	Set the rmm resource to be used for pinned memory allocations. More...
rmm::host_device_async_resource_ref	get_pinned_memory_resource ()
	Get the rmm resource being used for pinned memory allocations. More...
bool	config_default_pinned_memory_resource (pinned_mr_options const &opts)
	Configure the size of the default pinned memory resource. More...
void	set_kernel_pinned_copy_threshold (size_t threshold)
	Set the threshold size for using kernels for pinned memory copies. More...
size_t	get_kernel_pinned_copy_threshold ()
	Get the threshold size for using kernels for pinned memory copies. More...
void	set_allocate_host_as_pinned_threshold (size_t threshold)
	Set the threshold size for allocating host memory as pinned memory. More...
size_t	get_allocate_host_as_pinned_threshold ()
	Get the threshold size for allocating host memory as pinned memory. More...
template<typename T >
constexpr bool	has_atomic_support ()
	Indicates whether the type T has support for atomics. More...
constexpr bool	has_atomic_support (data_type type)
	Indicates whether type has support for atomics. More...
template<typename L , typename R >
constexpr bool	is_relationally_comparable ()
	Indicates whether objects of types L and R can be relationally compared. More...
bool	is_relationally_comparable (data_type type)
	Checks whether data_type type supports relational comparisons. More...
template<typename L , typename R >
constexpr bool	is_equality_comparable ()
	Indicates whether objects of types L and R can be compared for equality. More...
bool	is_equality_comparable (data_type type)
	Checks whether data_type type supports equality comparisons. More...
template<typename T >
constexpr bool	is_numeric ()
	Indicates whether the type T is a numeric type. More...
bool	is_numeric (data_type type)
	Indicates whether type is a numeric data_type. More...
template<typename T >
constexpr bool	is_index_type ()
	Indicates whether the type T is a index type. More...
bool	is_index_type (data_type type)
	Indicates whether the type type is a index type. More...
template<typename T >
constexpr bool	is_unsigned ()
	Indicates whether the type T is a unsigned numeric type. More...
bool	is_unsigned (data_type type)
	Indicates whether type is a unsigned numeric data_type. More...
template<typename Iterator >
constexpr bool	is_signed_iterator ()
	Indicates whether the Iterator value type is unsigned. More...
template<typename T >
constexpr bool	is_integral ()
	Indicates whether the type T is an integral type. More...
bool	is_integral (data_type type)
	Indicates whether type is a integral data_type. More...
template<typename T >
constexpr bool	is_integral_not_bool ()
	Indicates whether the type T is an integral type but not bool type. More...
bool	is_integral_not_bool (data_type type)
	Indicates whether type is a integral data_type and not BOOL8. More...
template<typename T >
constexpr bool	is_floating_point ()
	Indicates whether the type T is a floating point type. More...
bool	is_floating_point (data_type type)
	Indicates whether type is a floating point data_type. More...
template<typename T >
constexpr bool	is_byte ()
	Indicates whether T is a std::byte type. More...
template<typename T >
constexpr bool	is_boolean ()
	Indicates whether T is a Boolean type. More...
bool	is_boolean (data_type type)
	Indicates whether type is a Boolean data_type. More...
template<typename T >
constexpr bool	is_timestamp ()
	Indicates whether the type T is a timestamp type. More...
bool	is_timestamp (data_type type)
	Indicates whether type is a timestamp data_type. More...
template<typename T >
constexpr bool	is_fixed_point ()
	Indicates whether the type T is a fixed-point type. More...
bool	is_fixed_point (data_type type)
	Indicates whether type is a fixed point data_type. More...
template<typename T >
constexpr bool	is_duration ()
	Indicates whether the type T is a duration type. More...
bool	is_duration (data_type type)
	Indicates whether type is a duration data_type. More...
template<typename T >
constexpr bool	is_chrono ()
	Indicates whether the type T is a chrono type. More...
bool	is_chrono (data_type type)
	Indicates whether type is a chrono data_type. More...
template<typename T >
constexpr bool	is_rep_layout_compatible ()
	Indicates whether T is layout compatible with its "representation" type. More...
template<typename T >
constexpr bool	is_dictionary ()
	Indicates whether the type T is a dictionary type. More...
bool	is_dictionary (data_type type)
	Indicates whether type is a dictionary data_type. More...
template<typename T >
constexpr bool	is_fixed_width ()
	Indicates whether elements of type T are fixed-width. More...
bool	is_fixed_width (data_type type)
	Indicates whether elements of type are fixed-width. More...
template<typename T >
constexpr bool	is_compound ()
	Indicates whether the type T is a compound type. More...
bool	is_compound (data_type type)
	Indicates whether elements of type are compound. More...
template<typename T >
constexpr bool	is_nested ()
	Indicates whether T is a nested type. More...
bool	is_nested (data_type type)
	Indicates whether type is a nested type. More...
bool	is_bit_castable (data_type from, data_type to)
	Indicates whether from is bit-castable to to. More...
bool	column_types_equal (column_view const &lhs, column_view const &rhs)
	Compare the types of two column_views. More...
bool	column_types_equivalent (column_view const &lhs, column_view const &rhs)
	Compare the type IDs of two column_views. More...
bool	have_same_types (column_view const &lhs, column_view const &rhs)
	Compares the type of two column_views. More...
bool	have_same_types (column_view const &lhs, scalar const &rhs)
	Compare the types of a column_view and a scalar More...
bool	have_same_types (scalar const &lhs, column_view const &rhs)
	Compare the types of a scalar and a column_view More...
bool	have_same_types (scalar const &lhs, scalar const &rhs)
	Compare the types of two scalars. More...
bool	have_same_types (table_view const &lhs, table_view const &rhs)
	Checks if two table_views have columns of same types. More...
template<typename ForwardIt >
bool	all_have_same_types (ForwardIt first, ForwardIt last)
	Compare the types of a range of column_view or scalar objects. More...
template<typename T >
constexpr type_id	type_to_id ()
	Maps a C++ type to its corresponding cudf::type_id More...
template<typename T >
constexpr bool	type_id_matches_device_storage_type (type_id id)
	Checks if fixed_point-like types have template type T matching the column's stored type id. More...
template<>
constexpr type_id	type_to_id< char > ()
	Specialization to map 'char' type to type_id::INT8. More...
template<template< cudf::type_id > typename IdTypeMap = id_to_type_impl, typename Functor , typename... Ts>
CUDF_HOST_DEVICE constexpr decltype(auto) __forceinline__	type_dispatcher (cudf::data_type dtype, Functor f, Ts &&... args)
	Invokes an operator() template with the type instantiation based on the specified cudf::data_type's id(). More...
template<template< cudf::type_id > typename IdTypeMap = id_to_type_impl, typename F , typename... Ts>
CUDF_HOST_DEVICE constexpr decltype(auto) __forceinline__	double_type_dispatcher (cudf::data_type type1, cudf::data_type type2, F &&f, Ts &&... args)
	Dispatches two type template parameters to a callable. More...
std::string	type_to_name (data_type type)
	Return a name for a given type. More...
template<typename Integer >
CUDF_HOST_DEVICE bool	operator== (dictionary_wrapper< Integer > const &lhs, dictionary_wrapper< Integer > const &rhs)
	Wqual to operator for dictionary_wrapper. More...
template<typename Integer >
CUDF_HOST_DEVICE bool	operator!= (dictionary_wrapper< Integer > const &lhs, dictionary_wrapper< Integer > const &rhs)
	Not equal to operator for dictionary_wrapper. More...
template<typename Integer >
CUDF_HOST_DEVICE bool	operator<= (dictionary_wrapper< Integer > const &lhs, dictionary_wrapper< Integer > const &rhs)
	Less than or equal to operator for dictionary_wrapper. More...
template<typename Integer >
CUDF_HOST_DEVICE bool	operator>= (dictionary_wrapper< Integer > const &lhs, dictionary_wrapper< Integer > const &rhs)
	Greater than or equal to operator for dictionary_wrapper. More...
template<typename Integer >
constexpr CUDF_HOST_DEVICE bool	operator< (dictionary_wrapper< Integer > const &lhs, dictionary_wrapper< Integer > const &rhs)
	Less than operator for dictionary_wrapper. More...
template<typename Integer >
CUDF_HOST_DEVICE bool	operator> (dictionary_wrapper< Integer > const &lhs, dictionary_wrapper< Integer > const &rhs)
	Greater than operator for dictionary_wrapper. More...

Variables
template<typename L , typename R >
constexpr bool	binary_op_has_common_type_v
	Checks if binary operation types have a common type. More...
constexpr std::size_t	dynamic_extent = std::numeric_limits<std::size_t>::max()
	A constant used to differentiate std::span of static and dynamic extent.
template<typename... Ts>
constexpr bool	has_common_type_v = detail::has_common_type_impl<void, Ts...>::value
	Helper variable template for has_common_type<>::value.

Detailed Description

cuDF interfaces

Enumeration Type Documentation

weak_ordering

enum cudf::weak_ordering

strong

Result type of the element_relational_comparator function object.

Indicates how two elements a and b compare with one and another.

Equivalence is defined as not (a<b) and not (b<a). Elements that are EQUIVALENT may not necessarily be equal.

Enumerator
LESS	Indicates a is less than (ordered before) b
EQUIVALENT	Indicates a is ordered neither before nor after b
GREATER	Indicates a is greater than (ordered after) b

Definition at line 43 of file row_operators.cuh.

Function Documentation

all_have_same_types()

template<typename ForwardIt >

bool cudf::all_have_same_types ( ForwardIt  first, ForwardIt  last  )

inline

Compare the types of a range of column_view or scalar objects.

This function returns true if all objects in the range have the same type, in the sense of cudf::have_same_types.

Template Parameters

ForwardIt

Forward iterator

Parameters

first	The first iterator
last	The last iterator

Returns

true if all types match

Definition at line 143 of file type_checks.hpp.

bit_cast() [1/2]

column_view cudf::bit_cast	(	column_view const &	input,
		data_type	type
	)

Zero-copy cast between types with the same size and compatible underlying representations.

This is similar to reinterpret_cast or bit_cast in that it gives a view of the same raw bits as a different type. Unlike reinterpret_cast however, this cast is only allowed on types that have the same width and compatible representations. For example, the way timestamp types are laid out in memory is equivalent to an integer representing a duration since a fixed epoch; bit-casting to the same integer type (INT32 for days, INT64 for others) results in a raw view of the duration count. A FLOAT32 can also be bit-casted into INT32 and treated as an integer value. However, an INT32 column cannot be bit-casted to INT64 as the sizes differ, nor can a string_view column be casted into a numeric type column as their data representations are not compatible.

The validity of the conversion can be checked with cudf::is_bit_castable().

Exceptions

cudf::logic_error

if the specified cast is not possible, i.e., is_bit_castable(input.type(), type) is false.

Parameters

input	The column_view to cast from
type	The data_type to cast to

Returns

New column_view wrapping the same data as input but cast to type

bit_cast() [2/2]

mutable_column_view cudf::bit_cast	(	mutable_column_view const &	input,
		data_type	type
	)

Zero-copy cast between types with the same size and compatible underlying representations.

This is similar to reinterpret_cast or bit_cast in that it gives a view of the same raw bits as a different type. Unlike reinterpret_cast however, this cast is only allowed on types that have the same width and compatible representations. For example, the way timestamp types are laid out in memory is equivalent to an integer representing a duration since a fixed epoch; bit-casting to the same integer type (INT32 for days, INT64 for others) results in a raw view of the duration count. A FLOAT32 can also be bit-casted into INT32 and treated as an integer value. However, an INT32 column cannot be bit-casted to INT64 as the sizes differ, nor can a string_view column be casted into a numeric type column as their data representations are not compatible.

The validity of the conversion can be checked with cudf::is_bit_castable().

Exceptions

cudf::logic_error

if the specified cast is not possible, i.e., is_bit_castable(input.type(), type) is false.

Parameters

input	The mutable_column_view to cast from
type	The data_type to cast to

Returns

New mutable_column_view wrapping the same data as input but cast to type

column_types_equal()

bool cudf::column_types_equal	(	column_view const &	lhs,
		column_view const &	rhs
	)

Compare the types of two column_views.

Deprecated:

Since 24.06. Use cudf::have_same_types instead.

This function returns true if the type of lhs equals that of rhs.

• For fixed point types, the scale is compared.
• For dictionary types, the type of the keys are compared if both are non-empty columns.
• For lists types, the type of child columns are compared recursively.
• For struct types, the type of each field are compared in order.
• For all other types, the id of data_type is compared.

Parameters

lhs	The first column_view to compare
rhs	The second column_view to compare

Returns

true if column types match

column_types_equivalent()

bool cudf::column_types_equivalent	(	column_view const &	lhs,
		column_view const &	rhs
	)

Compare the type IDs of two column_views.

This function returns true if the type of lhs equals that of rhs.

• For fixed point types, the scale is ignored.

Parameters

lhs	The first column_view to compare
rhs	The second column_view to compare

Returns

true if column types match

config_default_pinned_memory_resource()

bool cudf::config_default_pinned_memory_resource

(

pinned_mr_options const &

opts

)

Configure the size of the default pinned memory resource.

Parameters

opts	Options to configure the default pinned memory resource

Returns

True if this call successfully configured the pinned memory resource, false if a a resource was already configured.

contiguous_copy_column_device_views()

template<typename ColumnDeviceView , typename HostTableView >

auto cudf::contiguous_copy_column_device_views	(	HostTableView	source_view,
		rmm::cuda_stream_view	stream
	)

Copies the contents of a table_view to a column device view in contiguous device memory.

Template Parameters

ColumnDeviceView	The column device view type to copy to
HostTableView	The type of the table_view to copy from

Parameters

source_view	The table_view to copy from
stream	The stream to use for device memory allocation

Returns

tuple of device_buffer and ColumnDeviceView device pointer

Definition at line 240 of file table_device_view.cuh.

count_descendants()

size_type cudf::count_descendants

(

column_view

parent

)

Counts the number of descendants of the specified parent.

Parameters

parent

The parent whose descendants will be counted

Returns

The number of descendants of the parent

equality_compare()

template<typename Element , std::enable_if_t< std::is_floating_point_v< Element >> * = nullptr>

bool cudf::equality_compare	(	Element	lhs,
		Element	rhs
	)

A specialization for floating-point Element type to check if lhs is equivalent to rhs. nan == nan.

A specialization for non-floating-point Element type to check if lhs is equivalent to rhs.

Parameters

lhs	first element
rhs	second element

Returns

true if lhs == rhs else false.

Definition at line 136 of file row_operators.cuh.

get_allocate_host_as_pinned_threshold()

size_t cudf::get_allocate_host_as_pinned_threshold

(

)

Get the threshold size for allocating host memory as pinned memory.

Returns

The threshold size in bytes.

get_kernel_pinned_copy_threshold()

size_t cudf::get_kernel_pinned_copy_threshold

(

)

Get the threshold size for using kernels for pinned memory copies.

Returns

The threshold size in bytes.

get_nullable_columns()

std::vector<column_view> cudf::get_nullable_columns

(

table_view const &

table

)

The function to collect all nullable columns at all nested levels in a given table.

Parameters

table

The input table

Returns

A vector containing all nullable columns in the input table

get_pinned_memory_resource()

rmm::host_device_async_resource_ref cudf::get_pinned_memory_resource

(

)

Get the rmm resource being used for pinned memory allocations.

Returns

The rmm resource used for pinned allocations

get_scalar_device_view() [1/5]

template<typename T >

auto cudf::get_scalar_device_view

(

duration_scalar< T > &

s

)

Get the device view of a duration_scalar.

Parameters

s	The duration_scalar to get the device view of

Returns

A device view of a duration_scalar

Definition at line 426 of file scalar_device_view.cuh.

get_scalar_device_view() [2/5]

template<typename T >

auto cudf::get_scalar_device_view

(

fixed_point_scalar< T > &

s

)

Get the device view of a fixed_point_scalar.

Parameters

s	The fixed_point_scalar to get the device view of

Returns

The device view of the fixed_point_scalar

Definition at line 438 of file scalar_device_view.cuh.

get_scalar_device_view() [3/5]

template<typename T >

auto cudf::get_scalar_device_view

(

numeric_scalar< T > &

s

)

Get the device view of a numeric_scalar.

Parameters

s	The numeric_scalar to get the device view of

Returns

A device view of a numeric_scalar

Definition at line 391 of file scalar_device_view.cuh.

get_scalar_device_view() [4/5]

auto cudf::get_scalar_device_view ( string_scalar &  s )

inline

Get the device view of a string_scalar.

Parameters

s	The string_scalar to get the device view of

Returns

A device view of a string_scalar

Definition at line 402 of file scalar_device_view.cuh.

get_scalar_device_view() [5/5]

template<typename T >

auto cudf::get_scalar_device_view

(

timestamp_scalar< T > &

s

)

Get the device view of a timestamp_scalar.

Parameters

s	The timestamp_scalar to get the device view of

Returns

A device view of a timestamp_scalar

Definition at line 414 of file scalar_device_view.cuh.

has_nested_columns()

bool cudf::has_nested_columns

(

table_view const &

table

)

Determine if any nested columns exist in a given table.

Parameters

table

The input table

Returns

Whether nested columns exist in the input table

has_nested_nullable_columns()

bool cudf::has_nested_nullable_columns

(

table_view const &

input

)

Returns True if the table has a nullable column at any level of the column hierarchy.

Parameters

input

The table to check for nullable columns

Returns

True if the table has nullable columns at any level of the column hierarchy, false otherwise

has_nested_nulls()

bool cudf::has_nested_nulls

(

table_view const &

input

)

Returns True if the table has nulls in any of its columns hierarchy.

Parameters

input

The table to check for nulls

Returns

True if the table has nulls in any of its columns hierarchy, false otherwise

has_nulls()

bool cudf::has_nulls

(

table_view const &

view

)

Returns True if the table has nulls in any of its columns.

This checks for nulls in the columns and but not in any of the columns' children.

Parameters

view	The table to check for nulls

Returns

True if the table has nulls in any of its columns, false otherwise

have_same_types() [1/5]

bool cudf::have_same_types	(	column_view const &	lhs,
		column_view const &	rhs
	)

Compares the type of two column_views.

This function returns true if the type of lhs equals that of rhs.

• For fixed point types, the scale is compared.
• For dictionary types, the type of the keys are compared if both are non-empty columns.
• For lists types, the type of child columns are compared recursively.
• For struct types, the type of each field are compared in order.
• For all other types, the id of data_type is compared.

Parameters

lhs	The first column_view to compare
rhs	The second column_view to compare

Returns

true if types match

have_same_types() [2/5]

bool cudf::have_same_types	(	column_view const &	lhs,
		scalar const &	rhs
	)

Compare the types of a column_view and a scalar

This function returns true if the type of lhs equals that of rhs.

• For fixed point types, the scale is compared.
• For dictionary column types, the type of the keys is compared to the scalar type.
• For lists types, the types of child columns are compared recursively.
• For struct types, the types of each field are compared in order.
• For all other types, the id of data_type is compared.

Parameters

lhs	The column_view to compare
rhs	The scalar to compare

Returns

true if types match

have_same_types() [3/5]

bool cudf::have_same_types	(	scalar const &	lhs,
		column_view const &	rhs
	)

Compare the types of a scalar and a column_view

This function returns true if the type of lhs equals that of rhs.

• For fixed point types, the scale is compared.
• For dictionary column types, the type of the keys is compared to the scalar type.
• For lists types, the types of child columns are compared recursively.
• For struct types, the types of each field are compared in order.
• For all other types, the id of data_type is compared.

Parameters

lhs	The scalar to compare
rhs	The column_view to compare

Returns

true if types match

have_same_types() [4/5]

bool cudf::have_same_types	(	scalar const &	lhs,
		scalar const &	rhs
	)

Compare the types of two scalars.

This function returns true if the type of lhs equals that of rhs.

• For fixed point types, the scale is compared.
• For lists types, the types of child columns are compared recursively.
• For struct types, the types of each field are compared in order.
• For all other types, the id of data_type is compared.

Parameters

lhs	The first scalar to compare
rhs	The second scalar to compare

Returns

true if types match

have_same_types() [5/5]

bool cudf::have_same_types	(	table_view const &	lhs,
		table_view const &	rhs
	)

Checks if two table_views have columns of same types.

Parameters

lhs	left-side table_view operand
rhs	right-side table_view operand

Returns

boolean comparison result

logger()

spdlog::logger& cudf::logger

(

)

Returns the global logger.

This is a global instance of a spdlog logger. It can be used to configure logging behavior in libcudf.

Examples:

// Turn off logging at runtime
cudf::logger().set_level(spdlog::level::off);
// Add a stdout sink to the logger
cudf::logger().sinks().push_back(std::make_shared<spdlog::sinks::stdout_sink_mt>());
// Replace the default sink
cudf::logger().sinks() ={std::make_shared<spdlog::sinks::stderr_sink_mt>()};

Note: Changes to the sinks are not thread safe and should only be done during global initialization.

Returns

spdlog::logger& The logger.

make_list_size_iterator()

CUDF_HOST_DEVICE auto cudf::make_list_size_iterator ( detail::lists_column_device_view const &  c )

inline

Makes an iterator that returns size of the list by row index.

Example: For a list_column_device_view with 3 rows, l = {[1, 2, 3], [4, 5], [6, 7, 8, 9]},

auto it = make_list_size_iterator(l);
assert(it[0] == 3);
assert(it[1] == 2);
assert(it[2] == 4);

Parameters

c	The list_column_device_view to iterate over

Returns

An iterator that returns the size of the list by row index

Definition at line 375 of file list_device_view.cuh.

make_timezone_transition_table()

std::unique_ptr<table> cudf::make_timezone_transition_table	(	std::optional< std::string_view >	tzif_dir,
		std::string_view	timezone_name,
		rmm::device_async_resource_ref	mr = rmm::mr::get_current_device_resource()
	)

Creates a transition table to convert ORC timestamps to UTC.

Uses system's TZif files. Assumes little-endian platform when parsing these files. The transition table starts with the entries from the TZif file. For timestamps after the file's last transition, the table includes entries that form a solar_cycle_years-year cycle (future entries). This portion of the table has solar_cycle_entry_count elements, as it assumes two transitions per year from Daylight Saving Time. If the timezone does not have DST, the table will still include the future entries, which will all have the same offset.

Parameters

tzif_dir	The directory where the TZif files are located
timezone_name	standard timezone name (for example, "America/Los_Angeles")
mr	Device memory resource used to allocate the returned table's device memory.

Returns

The transition table for the given timezone

null_compare()

auto cudf::null_compare ( bool  lhs_is_null, bool  rhs_is_null, null_order  null_precedence  )

inline

Compare the nulls according to null order.

Parameters

lhs_is_null	boolean representing if lhs is null
rhs_is_null	boolean representing if lhs is null
null_precedence	null order

Returns

Indicates the relationship between null in lhs and rhs columns.

Definition at line 101 of file row_operators.cuh.

nullable()

bool cudf::nullable

(

table_view const &

view

)

Returns True if any of the columns in the table is nullable. (not entire hierarchy)

Parameters

view	The table to check for nullability

Returns

True if any of the columns in the table is nullable, false otherwise

relational_compare()

template<typename Element , std::enable_if_t< std::is_floating_point_v< Element >> * = nullptr>

weak_ordering cudf::relational_compare	(	Element	lhs,
		Element	rhs
	)

A specialization for floating-point Element type relational comparison to derive the order of the elements with respect to lhs.

A specialization for non-floating-point Element type relational comparison to derive the order of the elements with respect to lhs.

This specialization handles nan in the following order: [-Inf, -ve, 0, -0, +ve, +Inf, NaN, NaN, null] (for null_order::AFTER) [null, -Inf, -ve, 0, -0, +ve, +Inf, NaN, NaN] (for null_order::BEFORE)

Parameters

lhs	The first element
rhs	The second element

Returns

Indicates the relationship between the elements in the lhs and rhs columns

Definition at line 80 of file row_operators.cuh.

scatter_columns()

table_view cudf::scatter_columns	(	table_view const &	source,
		std::vector< size_type > const &	map,
		table_view const &	target
	)

Copy column_views from a table_view into another table_view according to a column indices map.

The output table view, out_table is a copy of the target table_view but with elements updated according to out_table[map[i]] = source[i] where i is [0,source.size())

Parameters

source	Table of new columns to scatter into the output table view.
map	The indices where each new_column should be copied into the output.
target	Table to receive the updated column views.

Returns

New table_view.

set_allocate_host_as_pinned_threshold()

void cudf::set_allocate_host_as_pinned_threshold

(

size_t

threshold

)

Set the threshold size for allocating host memory as pinned memory.

Parameters

threshold

The threshold size in bytes. If the size of the allocation is less or equal to this threshold, the memory will be allocated as pinned memory. If the size is greater than this threshold, the memory will be allocated as pageable memory.

set_kernel_pinned_copy_threshold()

void cudf::set_kernel_pinned_copy_threshold

(

size_t

threshold

)

Set the threshold size for using kernels for pinned memory copies.

Parameters

threshold

The threshold size in bytes. If the size of the copy is less than this threshold, the copy will be done using kernels. If the size is greater than or equal to this threshold, the copy will be done using cudaMemcpyAsync.

set_pinned_memory_resource()

rmm::host_device_async_resource_ref cudf::set_pinned_memory_resource

(

rmm::host_device_async_resource_ref

mr

)

Set the rmm resource to be used for pinned memory allocations.

Parameters

mr	The rmm resource to be used for pinned allocations

Returns

The previous resource that was in use