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"""Functions to determine if an object is a dataframe or series."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import sys
def is_df_or_series(X):
"""Return True if the X is a dataframe or series.
Parameters
----------
X : {array-like, dataframe}
The array-like or dataframe object to check.
Returns
-------
bool
True if the X is a dataframe or series, False otherwise.
"""
return is_pandas_df_or_series(X) or is_polars_df_or_series(X) or is_pyarrow_data(X)
def is_pandas_df_or_series(X):
"""Return True if the X is a pandas dataframe or series.
Parameters
----------
X : {array-like, dataframe}
The array-like or dataframe object to check.
Returns
-------
bool
True if the X is a pandas dataframe or series, False otherwise.
"""
try:
pd = sys.modules["pandas"]
except KeyError:
return False
return isinstance(X, (pd.DataFrame, pd.Series))
def is_pandas_df(X):
"""Return True if the X is a pandas dataframe.
Parameters
----------
X : {array-like, dataframe}
The array-like or dataframe object to check.
Returns
-------
bool
True if the X is a pandas dataframe, False otherwise.
"""
try:
pd = sys.modules["pandas"]
except KeyError:
return False
return isinstance(X, pd.DataFrame)
def is_pyarrow_data(X):
"""Return True if the X is a pyarrow Table, RecordBatch, Array or ChunkedArray.
Parameters
----------
X : {array-like, dataframe}
The array-like or dataframe object to check.
Returns
-------
bool
True if the X is a pyarrow Table, RecordBatch, Array or ChunkedArray,
False otherwise.
"""
try:
pa = sys.modules["pyarrow"]
except KeyError:
return False
return isinstance(X, (pa.Table, pa.RecordBatch, pa.Array, pa.ChunkedArray))
def is_polars_df_or_series(X):
"""Return True if the X is a polars dataframe or series.
Parameters
----------
X : {array-like, dataframe}
The array-like or dataframe object to check.
Returns
-------
bool
True if the X is a polars dataframe or series, False otherwise.
"""
try:
pl = sys.modules["polars"]
except KeyError:
return False
return isinstance(X, (pl.DataFrame, pl.Series))
def is_polars_df(X):
"""Return True if the X is a polars dataframe.
Parameters
----------
X : {array-like, dataframe}
The array-like or dataframe object to check.
Returns
-------
bool
True if the X is a polarsdataframe, False otherwise.
"""
try:
pl = sys.modules["polars"]
except KeyError:
return False
return isinstance(X, pl.DataFrame)
|
