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Moved whatsnew to v.0.21.0
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rouzazari authored and gfyoung committed Mar 2, 2018
1 parent f419147 commit e0eee3d
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Showing 3 changed files with 7 additions and 9 deletions.
1 change: 0 additions & 1 deletion doc/source/whatsnew/v0.20.0.txt
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Expand Up @@ -1731,4 +1731,3 @@ Other
- Compat for 32-bit platforms for ``.qcut/cut``; bins will now be ``int64`` dtype (:issue:`14866`)
- Bug in interactions with ``Qt`` when a ``QtApplication`` already exists (:issue:`14372`)
- Avoid use of ``np.finfo()`` during ``import pandas`` removed to mitigate deadlock on Python GIL misuse (:issue:`14641`)
- Bug in ``DataFrame.rank()`` and ``Series.rank()`` when ``method='dense'`` and ``pct=True`` (:issue:`15630`)
1 change: 1 addition & 0 deletions doc/source/whatsnew/v0.23.0.txt
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Expand Up @@ -900,6 +900,7 @@ Offsets

Numeric
^^^^^^^
- Bug in ``DataFrame.rank()`` and ``Series.rank()`` when ``method='dense'`` and ``pct=True`` (:issue:`15630`)
- Bug in :class:`Series` constructor with an int or float list where specifying ``dtype=str``, ``dtype='str'`` or ``dtype='U'`` failed to convert the data elements to strings (:issue:`16605`)
- Bug in :class:`Index` multiplication and division methods where operating with a ``Series`` would return an ``Index`` object instead of a ``Series`` object (:issue:`19042`)
- Bug in the :class:`DataFrame` constructor in which data containing very large positive or very large negative numbers was causing ``OverflowError`` (:issue:`18584`)
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14 changes: 6 additions & 8 deletions pandas/tests/frame/test_rank.py
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@@ -1,18 +1,16 @@
# -*- coding: utf-8 -*-
import pytest
from datetime import timedelta, datetime
from distutils.version import LooseVersion
from numpy import nan
import numpy as np
import pandas.util.testing as tm

from pandas import Series, DataFrame

import pytest
from distutils.version import LooseVersion
from datetime import timedelta, datetime
from numpy import nan

from pandas.compat import product
from pandas.util.testing import assert_frame_equal
import pandas.util.testing as tm
from pandas.tests.frame.common import TestData
from pandas import Series, DataFrame
from pandas.compat import product


class TestRank(TestData):
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