/
usr
/
local
/
lib64
/
python3.6
/
site-packages
/
pandas
/
core
/
array_algos
/
/usr/local/lib64/python3.6/site-packages/pandas/core/array_algos
mkdir
upload
Name
Size
Mode
Actions
__pycache__/
-
0755
rm
masked_reductions.py
2994
0644
edit
dl
rm
transforms.py
959
0644
edit
dl
rm
__init__.py
408
0644
edit
dl
rm
Edit:
/usr/local/lib64/python3.6/site-packages/pandas/core/array_algos/transforms.py
(959B)
""" transforms.py is for shape-preserving functions. """ import numpy as np from pandas.core.dtypes.common import ensure_platform_int def shift(values: np.ndarray, periods: int, axis: int, fill_value) -> np.ndarray: new_values = values if periods == 0 or values.size == 0: return new_values.copy() # make sure array sent to np.roll is c_contiguous f_ordered = values.flags.f_contiguous if f_ordered: new_values = new_values.T axis = new_values.ndim - axis - 1 if np.prod(new_values.shape): new_values = np.roll(new_values, ensure_platform_int(periods), axis=axis) axis_indexer = [slice(None)] * values.ndim if periods > 0: axis_indexer[axis] = slice(None, periods) else: axis_indexer[axis] = slice(periods, None) new_values[tuple(axis_indexer)] = fill_value # restore original order if f_ordered: new_values = new_values.T return new_values
Save
cmd:
run