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Update truncate() documentation and testcases #13024

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Update truncate() documentation and testcases #13024

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27379dd
Update truncate() documentation and testcases
gliptak Apr 29, 2016
5e2fbe5
Refactor to use _construct() and _compare()
gliptak May 4, 2016
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7 changes: 4 additions & 3 deletions pandas/core/generic.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4633,14 +4633,15 @@ def tshift(self, periods=1, freq=None, axis=0):

def truncate(self, before=None, after=None, axis=None, copy=True):
"""Truncates a sorted NDFrame before and/or after some particular
dates.
index value. If the axis contains only datetime values, before/after
parameters are converted to datetime values.

Parameters
----------
before : date
Truncate before date
Truncate before index value
after : date
Truncate after date
Truncate after index value
axis : the truncation axis, defaults to the stat axis
copy : boolean, default is True,
return a copy of the truncated section
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27 changes: 27 additions & 0 deletions pandas/tests/test_generic.py
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Expand Up @@ -595,6 +595,22 @@ def test_clip(self):
lower=lower, upper=upper,
axis=bad_axis)

def test_truncate_outofbounds_small(self):
# GH11382
shape = [int(2e3)] + ([1] * (self._ndim-1))
small = self._construct(shape, dtype='int8')
self._compare(small.truncate(), small)
self._compare(small.truncate(before=0, after=3e3), small)
self._compare(small.truncate(before=-1, after=2e3), small)

def test_truncate_outofbounds_big(self):
# GH11382
shape = [int(2e6)] + ([1] * (self._ndim-1))
big = self._construct(shape, dtype='int8')
self._compare(big.truncate(), big)
self._compare(big.truncate(before=0, after=3e6), big)
self._compare(big.truncate(before=-1, after=2e6), big)

def test_numpy_clip(self):
lower = 1
upper = 3
Expand Down Expand Up @@ -809,6 +825,17 @@ def test_describe_none(self):
expected = Series([0, 0], index=['count', 'unique'], name='None')
assert_series_equal(noneSeries.describe(), expected)

def test_truncate_outofbounds(self):
# GH11382
small = pd.Series(data=range(int(2e3)), index=range(int(2e3)))
assert_series_equal(small.truncate(), small)
assert_series_equal(small.truncate(before=0, after=3e3), small)
assert_series_equal(small.truncate(before=-1, after=2e3), small)
big = pd.Series(data=range(int(2e6)), index=range(int(2e6)))
assert_series_equal(big.truncate(), big)
assert_series_equal(big.truncate(before=0, after=3e6), big)
assert_series_equal(big.truncate(before=-1, after=2e6), big)

def test_to_xarray(self):

tm._skip_if_no_xarray()
Expand Down