apache_beam.dataframe.pandas_top_level_functions module

A module providing various functionality from the top-level pandas namespace.

class apache_beam.dataframe.pandas_top_level_functions.DeferredPandasModule

Bases: object

static array(*args, **kwargs)

static bdate_range(*args, **kwargs)

static concat(objs, axis, join, ignore_index, keys, levels, names, verify_integrity, sort, copy)

static date_range(*args, **kwargs)

static describe_option(*args, **kwargs)

static factorize(target, *args, **kwargs)

static get_option(*args, **kwargs)

static interval_range(*args, **kwargs)

static isna(target, *args, **kwargs)

static isnull(target, *args, **kwargs)

static json_normalize(*args, **kwargs)

static merge(target, *args, **kwargs)

static melt(target, *args, **kwargs)

merge_ordered(**kwargs)

pandas.merge_ordered() is not yet supported in the Beam DataFrame API because it is sensitive to the order of the data.

For more information see https://s.apache.org/dataframe-order-sensitive-operations.

static notnull(target, *args, **kwargs)

static option_context(*args, **kwargs)

static period_range(*args, **kwargs)

static pivot(target, *args, **kwargs)

static pivot_table(target, *args, **kwargs)

static show_versions(*args, **kwargs)

test(**kwargs)

pandas.test() is not yet supported in the Beam DataFrame API because it is an internal pandas testing utility.

static timedelta_range(*args, **kwargs)

to_pickle(**kwargs)

pandas.to_pickle() is not yet supported in the Beam DataFrame API because it is sensitive to the order of the data.

For more information see https://s.apache.org/dataframe-order-sensitive-operations.

static to_datetime(*args, **kwargs)

static notna(target, *args, **kwargs)