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BUG: clip doesn't preserve dtype by column #24458

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Merged
merged 6 commits into from
Dec 28, 2018
Merged

BUG: clip doesn't preserve dtype by column #24458

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31f8567
use self.where method instead of numpy where to reuse casting logics
minggli Dec 27, 2018
61bb0c8
modify clip scalar
minggli Dec 27, 2018
7235940
modify expected case
minggli Dec 27, 2018
b5a6121
use existing handling of inplace
minggli Dec 28, 2018
45bd478
add test case
minggli Dec 28, 2018
fab5c99
update whatsnew
minggli Dec 28, 2018
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1 change: 1 addition & 0 deletions doc/source/whatsnew/v0.24.0.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -1405,6 +1405,7 @@ Conversion
^^^^^^^^^^

- Bug in :meth:`DataFrame.combine_first` in which column types were unexpectedly converted to float (:issue:`20699`)
- Bug in :meth:`DataFrame.clip` in which column types are not preserved and casted to float (:issue:`24162`)

Strings
^^^^^^^
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21 changes: 7 additions & 14 deletions pandas/core/generic.py
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Expand Up @@ -7132,19 +7132,13 @@ def _clip_with_scalar(self, lower, upper, inplace=False):
(upper is not None and np.any(isna(upper)))):
raise ValueError("Cannot use an NA value as a clip threshold")

result = self.values
mask = isna(result)

with np.errstate(all='ignore'):
if upper is not None:
result = np.where(result >= upper, upper, result)
if lower is not None:
result = np.where(result <= lower, lower, result)
if np.any(mask):
result[mask] = np.nan

axes_dict = self._construct_axes_dict()
result = self._constructor(result, **axes_dict).__finalize__(self)
result = self
if upper is not None:
subset = self.le(upper, axis=None) | isna(result)
result = result.where(subset, upper, axis=None, inplace=False)
if lower is not None:
subset = self.ge(lower, axis=None) | isna(result)
result = result.where(subset, lower, axis=None, inplace=False)

if inplace:
self._update_inplace(result)
Expand All @@ -7153,7 +7147,6 @@ def _clip_with_scalar(self, lower, upper, inplace=False):

def _clip_with_one_bound(self, threshold, method, axis, inplace):

inplace = validate_bool_kwarg(inplace, 'inplace')
if axis is not None:
axis = self._get_axis_number(axis)

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10 changes: 8 additions & 2 deletions pandas/tests/frame/test_analytics.py
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Expand Up @@ -1836,7 +1836,6 @@ def test_pct_change(self):
tm.assert_frame_equal(result, expected)

# Clip

def test_clip(self, float_frame):
median = float_frame.median().median()
original = float_frame.copy()
Expand Down Expand Up @@ -1895,10 +1894,17 @@ def test_clip_mixed_numeric(self):
df = DataFrame({'A': [1, 2, 3],
'B': [1., np.nan, 3.]})
result = df.clip(1, 2)
expected = DataFrame({'A': [1, 2, 2.],
expected = DataFrame({'A': [1, 2, 2],
'B': [1., np.nan, 2.]})
tm.assert_frame_equal(result, expected, check_like=True)

# GH 24162, clipping now preserves numeric types per column
df = DataFrame([[1, 2, 3.4], [3, 4, 5.6]],
columns=['foo', 'bar', 'baz'])
expected = df.dtypes
result = df.clip(upper=3).dtypes
tm.assert_series_equal(result, expected)

@pytest.mark.parametrize("inplace", [True, False])
def test_clip_against_series(self, inplace):
# GH 6966
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