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Until Python 3.6, dicts in Python had no formally defined ordering. For Python
@@ -1365,8 +1365,8 @@ MultiIndex
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- Bug in indexing where nested indexers having only numpy arrays are handled incorrectly (:issue:`19686`)
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I/O
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^^^
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IO
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^^
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- :func:`read_html` now rewinds seekable IO objects after parse failure, before attempting to parse with a new parser. If a parser errors and the object is non-seekable, an informative error is raised suggesting the use of a different parser (:issue:`17975`)
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- :meth:`DataFrame.to_html` now has an option to add an id to the leading `<table>` tag (:issue:`8496`)
@@ -1403,7 +1403,7 @@ Plotting
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- :func:`DataFrame.plot` now supports multiple columns to the ``y`` argument (:issue:`19699`)
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-
Groupby/resample/rolling
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GroupBy/resample/rolling
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^^^^^^^^^^^^^^^^^^^^^^^^
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- Bug when grouping by a single column and aggregating with a class like ``list`` or ``tuple`` (:issue:`18079`)
The behavior of :class:`DatetimeIndex` when passed integer data and
@@ -1769,8 +1769,8 @@ MultiIndex
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- :class:`MultiIndex` has gained the :meth:`MultiIndex.from_frame`, it allows constructing a :class:`MultiIndex` object from a :class:`DataFrame` (:issue:`22420`)
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- Fix ``TypeError`` in Python 3 when creating :class:`MultiIndex` in which some levels have mixed types, e.g. when some labels are tuples (:issue:`15457`)
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I/O
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^^^
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^^
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- Bug in :func:`read_csv` in which a column specified with ``CategoricalDtype`` of boolean categories was not being correctly coerced from string values to booleans (:issue:`20498`)
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- Bug in :func:`read_csv` in which unicode column names were not being properly recognized with Python 2.x (:issue:`13253`)
@@ -1827,7 +1827,7 @@ Plotting
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- Bug in :func:`DataFrame.plot.bar` caused bars to use multiple colors instead of a single one (:issue:`20585`)
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- Bug in validating color parameter caused extra color to be appended to the given color array. This happened to multiple plotting functions using matplotlib. (:issue:`20726`)
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-
Groupby/resample/rolling
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GroupBy/resample/rolling
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^^^^^^^^^^^^^^^^^^^^^^^^
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- Bug in :func:`pandas.core.window.Rolling.min` and :func:`pandas.core.window.Rolling.max` with ``closed='left'``, a datetime-like index and only one entry in the series leading to segfault (:issue:`24718`)
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