FM / io

/usr/local/lib64/python3.6/site-packages/pandas/io/

/usr/local/lib64/python3.6/site-packages/pandas/io

Name	Size	Mode	Actions
clipboard/	-	0755	rm
excel/	-	0755	rm
formats/	-	0755	rm
json/	-	0755	rm
sas/	-	0755	rm
__pycache__/	-	0755	rm
api.py	726	0644	edit dl rm
clipboards.py	4337	0644	edit dl rm
common.py	18506	0644	edit dl rm
date_converters.py	1739	0644	edit dl rm
feather_format.py	3265	0644	edit dl rm
gbq.py	8321	0644	edit dl rm
html.py	34561	0644	edit dl rm
orc.py	1676	0644	edit dl rm
parquet.py	10852	0644	edit dl rm
parsers.py	130500	0644	edit dl rm
pickle.py	6553	0644	edit dl rm
pytables.py	167080	0644	edit dl rm
spss.py	1255	0644	edit dl rm
sql.py	62605	0644	edit dl rm
stata.py	126863	0644	edit dl rm
__init__.py	0	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/pandas/io/spss.py (1255B)

from pathlib import Path
from typing import Optional, Sequence, Union

from pandas.compat._optional import import_optional_dependency

from pandas.core.dtypes.inference import is_list_like

from pandas.core.api import DataFrame

from pandas.io.common import stringify_path

def read_spss(
    path: Union[str, Path],
    usecols: Optional[Sequence[str]] = None,
    convert_categoricals: bool = True,
) -> DataFrame:
    """
    Load an SPSS file from the file path, returning a DataFrame.

.. versionadded:: 0.25.0

Parameters
    ----------
    path : str or Path
        File path.
    usecols : list-like, optional
        Return a subset of the columns. If None, return all columns.
    convert_categoricals : bool, default is True
        Convert categorical columns into pd.Categorical.

Returns
    -------
    DataFrame
    """
    pyreadstat = import_optional_dependency("pyreadstat")

if usecols is not None:
        if not is_list_like(usecols):
            raise TypeError("usecols must be list-like.")
        else:
            usecols = list(usecols)  # pyreadstat requires a list

df, _ = pyreadstat.read_sav(
        stringify_path(path), usecols=usecols, apply_value_formats=convert_categoricals
    )
    return df

from pathlib import Path from typing import Optional, Sequence, Union from pandas.compat._optional import import_optional_dependency from pandas.core.dtypes.inference import is_list_like from pandas.core.api import DataFrame from pandas.io.common import stringify_path def read_spss( path: Union[str, Path], usecols: Optional[Sequence[str]] = None, convert_categoricals: bool = True, ) -> DataFrame: """ Load an SPSS file from the file path, returning a DataFrame. .. versionadded:: 0.25.0 Parameters ---------- path : str or Path File path. usecols : list-like, optional Return a subset of the columns. If None, return all columns. convert_categoricals : bool, default is True Convert categorical columns into pd.Categorical. Returns ------- DataFrame """ pyreadstat = import_optional_dependency("pyreadstat") if usecols is not None: if not is_list_like(usecols): raise TypeError("usecols must be list-like.") else: usecols = list(usecols) # pyreadstat requires a list df, _ = pyreadstat.read_sav( stringify_path(path), usecols=usecols, apply_value_formats=convert_categoricals ) return df