8000 implement astype portion of #24024 by jbrockmendel · Pull Request #24405 · pandas-dev/pandas · GitHub
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implement astype portion of #24024 #24405

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Merged
merged 20 commits into from
Dec 28, 2018
Merged

implement astype portion of #24024 #24405

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6a5c216
implement astype portion of #24024
jbrockmendel Dec 24, 2018
1a9f30b
fixup unused import
jbrockmendel Dec 24, 2018
1b109b8
isort fixup
jbrockmendel Dec 24, 2018
f271005
Merge branch 'master' of https://github.com/pandas-dev/pandas into le…
jbrockmendel Dec 24, 2018
5615b9f
pass copy kwarg
jbrockmendel Dec 24, 2018
d5cca5a
Merge branch 'master' of https://github.com/pandas-dev/pandas into le…
jbrockmendel Dec 25, 2018
184f59f
revert change that brokethe world
jbrockmendel Dec 25, 2018
df39bd7
Merge branch 'master' of https://github.com/pandas-dev/pandas into le…
jbrockmendel Dec 25, 2018
e41068a
comments, typo
jbrockmendel Dec 25, 2018
6f108dd
avoid double-copy
jbrockmendel Dec 25, 2018
b123d08
Merge branch 'master' of https://github.com/pandas-dev/pandas into le…
jbrockmendel Dec 28, 2018
207ffb9
Merge branch 'master' of https://github.com/pandas-dev/pandas into le…
jbrockmendel Dec 28, 2018
04efd45
sidestep int sign/size astype issues
jbrockmendel Dec 28, 2018
3fca810
Implement UInt64 handling, tests, and docs
TomAugspurger Dec 28, 2018
5fa32e9
Handle uint in astype tests
TomAugspurger Dec 28, 2018
5d718e6
Fixed TimedeltaArray._format_native_types
TomAugspurger Dec 28, 2018
33b5434
Linting
TomAugspurger Dec 28, 2018
e29d898
Change default to str
TomAugspurger Dec 28, 2018
a3c42f0
revert for period
TomAugspurger Dec 28, 2018
eac662b
Merge remote-tracking branch 'upstream/master' into jbrockmendel-less…
TomAugspurger Dec 28, 2018
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Fixed TimedeltaArray._format_native_types
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@TomAugspurger
TomAugspurger committed Dec 28, 2018
commit 5d718e66d86ab8fc6707ece5bb062086cc36424b
7 changes: 5 additions & 2 deletions pandas/core/arrays/timedeltas.py
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Expand Up @@ -268,8 +268,11 @@ def _formatter(self, boxed=False):
from pandas.io.formats.format import _get_format_timedelta64
return _get_format_timedelta64(self, box=True)

def _format_native_types(self):
return self.astype(object)
def _format_native_types(self, na_rep=u'NaT', date_format=None):
from pandas.io.formats.format import _get_format_timedelta64

formatter = _get_format_timedelta64(self._data, na_rep)
return np.array([formatter(x) for x in self._data])

# ----------------------------------------------------------------
# Arithmetic Methods
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