31 lines
899 B
Python
31 lines
899 B
Python
|
from pandas import (
|
||
|
|
Categorical,
|
||
|
|
Index,
|
||
|
|
Series,
|
||
|
|
)
|
||
|
|
from pandas.core.arrays import BaseMaskedArray
|
||
|
|
|
||
|
|
|
||
|
|
def get_array(obj, col=None):
|
||
|
|
"""
|
||
|
|
Helper method to get array for a DataFrame column or a Series.
|
||
|
|
|
||
|
|
Equivalent of df[col].values, but without going through normal getitem,
|
||
|
|
which triggers tracking references / CoW (and we might be testing that
|
||
|
|
this is done by some other operation).
|
||
|
|
"""
|
||
|
|
if isinstance(obj, Index):
|
||
|
|
arr = obj._values
|
||
|
|
elif isinstance(obj, Series) and (col is None or obj.name == col):
|
||
|
|
arr = obj._values
|
||
|
|
else:
|
||
|
|
assert col is not None
|
||
|
|
icol = obj.columns.get_loc(col)
|
||
|
|
assert isinstance(icol, int)
|
||
|
|
arr = obj._get_column_array(icol)
|
||
|
|
if isinstance(arr, BaseMaskedArray):
|
||
|
|
return arr._data
|
||
|
|
elif isinstance(arr, Categorical):
|
||
|
|
return arr
|
||
|
|
return getattr(arr, "_ndarray", arr)
|