What’s new in 1.0.2 (March 12, 2020)

These are the changes in pandas 1.0.2. See Release notes for a full changelog including other versions of pandas.

Fixed regressions

Groupby

• Fixed regression in groupby(..).agg() which was failing on frames with MultiIndex columns and a custom function (GH31777)

• Fixed regression in groupby(..).rolling(..).apply() (RollingGroupby) where the raw parameter was ignored (GH31754)

• Fixed regression in rolling(..).corr() when using a time offset (GH31789)

• Fixed regression in groupby(..).nunique() which was modifying the original values if NaN values were present (GH31950)

• Fixed regression in DataFrame.groupby raising a ValueError from an internal operation (GH31802)

• Fixed regression in groupby(..).agg() calling a user-provided function an extra time on an empty input (GH31760)

I/O

• Fixed regression in read_csv() in which the encoding option was not recognized with certain file-like objects (GH31819)

• Fixed regression in DataFrame.to_excel() when the columns keyword argument is passed (GH31677)

• Fixed regression in ExcelFile where the stream passed into the function was closed by the destructor. (GH31467)

• Fixed regression where read_pickle() raised a UnicodeDecodeError when reading a py27 pickle with MultiIndex column (GH31988).

Reindexing/alignment

• Fixed regression in Series.align() when other is a DataFrame and method is not None (GH31785)

• Fixed regression in DataFrame.reindex() and Series.reindex() when reindexing with (tz-aware) index and method=nearest (GH26683)

• Fixed regression in DataFrame.reindex_like() on a DataFrame subclass raised an AssertionError (GH31925)

• Fixed regression in DataFrame arithmetic operations with mis-matched columns (GH31623)

Other

• Fixed regression in joining on DatetimeIndex or TimedeltaIndex to preserve freq in simple cases (GH32166)

• Fixed regression in Series.shift() with datetime64 dtype when passing an integer fill_value (GH32591)

• Fixed regression in the repr of an object-dtype Index with bools and missing values (GH32146)

Indexing with nullable boolean arrays

Previously indexing with a nullable Boolean array containing NA would raise a ValueError, however this is now permitted with NA being treated as False. (GH31503)

In [1]: s = pd.Series([1, 2, 3, 4])

In [2]: mask = pd.array([True, True, False, None], dtype="boolean")

In [3]: s
Out[3]: 
0    1
1    2
2    3
3    4
dtype: int64

In [4]: mask
Out[4]: 
<BooleanArray>
[True, True, False, <NA>]
Length: 4, dtype: boolean

pandas 1.0.0-1.0.1

>>> s[mask]
Traceback (most recent call last):
...
ValueError: cannot mask with array containing NA / NaN values

pandas 1.0.2

In [5]: s[mask]
Out[5]: 
0    1
1    2
dtype: int64

Bug fixes

Datetimelike

• Bug in Series.astype() not copying for tz-naive and tz-aware datetime64 dtype (GH32490)

• Bug where to_datetime() would raise when passed pd.NA (GH32213)

• Improved error message when subtracting two Timestamp that result in an out-of-bounds Timedelta (GH31774)

Categorical

• Fixed bug where Categorical.from_codes() improperly raised a ValueError when passed nullable integer codes. (GH31779)

• Fixed bug where Categorical() constructor would raise a TypeError when given a numpy array containing pd.NA. (GH31927)

• Bug in Categorical that would ignore or crash when calling Series.replace() with a list-like to_replace (GH31720)

I/O

• Using pd.NA with DataFrame.to_json() now correctly outputs a null value instead of an empty object (GH31615)

• Bug in pandas.json_normalize() when value in meta path is not iterable (GH31507)

• Fixed pickling of pandas.NA. Previously a new object was returned, which broke computations relying on NA being a singleton (GH31847)

• Fixed bug in parquet roundtrip with nullable unsigned integer dtypes (GH31896).

Experimental dtypes

• Fixed bug in DataFrame.convert_dtypes() for columns that were already using the "string" dtype (GH31731).

• Fixed bug in DataFrame.convert_dtypes() for series with mix of integers and strings (GH32117)

• Fixed bug in DataFrame.convert_dtypes() where BooleanDtype columns were converted to Int64 (GH32287)

• Fixed bug in setting values using a slice indexer with string dtype (GH31772)

• Fixed bug where pandas.core.groupby.GroupBy.first() and pandas.core.groupby.GroupBy.last() would raise a TypeError when groups contained pd.NA in a column of object dtype (GH32123)

• Fixed bug where DataFrameGroupBy.mean(), DataFrameGroupBy.median(), DataFrameGroupBy.var(), and DataFrameGroupBy.std() would raise a TypeError on Int64 dtype columns (GH32219)

Strings

• Using pd.NA with Series.str.repeat() now correctly outputs a null value instead of raising error for vector inputs (GH31632)

Rolling

• Fixed rolling operations with variable window (defined by time duration) on decreasing time index (GH32385).

Contributors

For contributors, please see /usr/share/doc/contributors_list.txt or https://github.com/pandas-dev/pandas/graphs/contributors

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What’s new in 1.0.3 (March 17, 2020)

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What’s new in 1.0.1 (February 5, 2020)