General Functions#

Data manipulations#

concat(objs[, axis, join, ignore_index, ...])

Concatenate DataFrames, Series, or Indices row-wise.

crosstab(index, columns[, values, rownames, ...])

Compute a simple cross tabulation of two (or more) factors.

cut(x, bins[, right, labels, retbins, ...])

Bin values into discrete intervals.

factorize(values[, sort, use_na_sentinel, ...])

Encode the input values as integer labels

get_dummies(data[, prefix, prefix_sep, ...])

Returns a dataframe whose columns are the one hot encodings of all columns in df

melt(frame[, id_vars, value_vars, var_name, ...])

Unpivots a DataFrame from wide format to long format, optionally leaving identifier variables set.

merge(left, right, *args, **kwargs)

Merge GPU DataFrame objects by performing a database-style join operation by columns or indexes.

pivot(data[, columns, index, values])

Return reshaped DataFrame organized by the given index and column values.

pivot_table(data[, values, index, columns, ...])

Create a spreadsheet-style pivot table as a DataFrame.

unstack(df, level[, fill_value, sort])

Pivot one or more levels of the (necessarily hierarchical) index labels.

Top-level conversions#

to_numeric(arg[, errors, downcast, ...])

Convert argument into numerical types.

from_dataframe(df[, allow_copy])

Build a DataFrame from an object supporting the dataframe interchange protocol.

from_dlpack(pycapsule_obj)

Converts from a DLPack tensor to a cuDF object.

from_pandas(obj[, nan_as_null])

Convert certain Pandas objects into the cudf equivalent.

Top-level dealing with datetimelike data#

to_datetime(arg[, errors, dayfirst, ...])

Convert argument to datetime.

date_range([start, end, periods, freq, tz, ...])

Return a fixed frequency DatetimeIndex.

Top-level dealing with Interval data#

interval_range([start, end, periods, freq, ...])

Returns a fixed frequency IntervalIndex.