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CLN: remove util._doctools._WritableDoc #26164

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Merged
merged 1 commit into from
Apr 20, 2019
+0 −14
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CLN: remove util._doctools._WritableDoc #26164

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3 changes: 0 additions & 3 deletions pandas/core/arrays/interval.py
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Original file line number Diff line number Diff line change
Expand Up @@ -7,10 +7,8 @@

from pandas._libs.interval import (
Interval, IntervalMixin, intervals_to_interval_bounds)
from pandas.compat import add_metaclass
from pandas.compat.numpy import function as nv
from pandas.util._decorators import Appender
from pandas.util._doctools import _WritableDoc

from pandas.core.dtypes.cast import maybe_convert_platform
from pandas.core.dtypes.common import (
Expand Down Expand Up @@ -127,7 +125,6 @@
:meth:`IntervalArray.from_breaks`, and :meth:`IntervalArray.from_tuples`.
"""),
))
@add_metaclass(_WritableDoc)
class IntervalArray(IntervalMixin, ExtensionArray):
dtype = IntervalDtype()
ndim = 1
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3 changes: 0 additions & 3 deletions pandas/core/indexes/interval.py
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Expand Up @@ -8,9 +8,7 @@

from pandas._libs import Timedelta, Timestamp
from pandas._libs.interval import Interval, IntervalMixin, IntervalTree
from pandas.compat import add_metaclass
from pandas.util._decorators import Appender, cache_readonly
from pandas.util._doctools import _WritableDoc
from pandas.util._exceptions import rewrite_exception

from pandas.core.dtypes.cast import (
Expand Down Expand Up @@ -126,7 +124,6 @@ def _new_IntervalIndex(cls, d):
"""),

))
@add_metaclass(_WritableDoc)
class IntervalIndex(IntervalMixin, Index):
_typ = 'intervalindex'
_comparables = ['name']
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8 changes: 0 additions & 8 deletions pandas/util/_doctools.py
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Expand Up @@ -163,14 +163,6 @@ def _make_table(self, ax, df, title, height=None):
ax.axis('off')


class _WritableDoc(type):
# Remove this when Python2 support is dropped
# __doc__ is not mutable for new-style classes in Python2, which means
# we can't use @Appender to share class docstrings. This can be used
# with `add_metaclass` to make cls.__doc__ mutable.
pass


if __name__ == "__main__":
import matplotlib.pyplot as plt

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