filling#
- pylibcudf.filling.calendrical_month_sequence(size_type n, Scalar init, size_type months) Column #
Fill destination column from begin to end with value.
For details, see
calendrical_month_sequence()
.- Parameters:
- nsize_type
Number of timestamps to generate
- initScalar
The initial timestamp
- monthssize_type
Months to increment
- Returns:
- pylibcudf.Column
Timestamps column with sequences of months
- pylibcudf.filling.fill(Column destination, size_type begin, size_type end, Scalar value) Column #
Fill destination column from begin to end with value.
For details, see
fill()
.- Parameters:
- destinationColumn
The column to be filled
- beginsize_type
The index to begin filling from.
- endsize_type
The index at which to stop filling.
- valueScalar
The value to fill with.
- Returns:
- pylibcudf.Column
The result of the filling operation
- pylibcudf.filling.fill_in_place(Column destination, size_type begin, size_type end, Scalar value) void #
Fill destination column in place from begin to end with value.
For details, see
fill_in_place()
.- Parameters:
- destinationColumn
The column to be filled
- beginsize_type
The index to begin filling from.
- endsize_type
The index at which to stop filling.
- valueScalar
The value to fill with.
- Returns:
- None
- pylibcudf.filling.repeat(signatures, args, kwargs, defaults, _fused_sigindex={})#
Repeat rows of a Table.
If an integral value is specified for
count
, every row is repeatedcount
times. Ifcount
is a column, the number of repetitions of each row is defined by the value at the corresponding index ofcount
.For details, see
repeat()
.- Parameters:
- input_tableTable
The table to be repeated
- countUnion[Column, size_type]
Integer value to repeat each row by or non-nullable column of an integral type
- Returns:
- pylibcudf.Table
The result of the repeat operation
- pylibcudf.filling.sequence(size_type size, Scalar init, Scalar step) Column #
Create a sequence column of size
size
with initial valueinit
and stepstep
.For details, see
sequence()
.- Parameters:
- sizeint
The size of the sequence
- initScalar
The initial value of the sequence
- stepScalar
The step of the sequence
- Returns:
- pylibcudf.Column
The result of the sequence operation