Log message:
py-pandas: updated to 0.23.3

0.23.3:
This is a minor bug-fix release in the 0.23.x series and includes a fix for the \ 
source distribution on Python 3.7. We recommend that all users upgrade to this \ 
version.

Log message:
Update path to math/py-tables

Log message:
py-pandas: revbump for py-tables

Log message:
py-pandas: updated to 0.23.1

pandas 0.23.1
This is a minor release from 0.23.0 and includes a number of bug fixes and
performance improvements.

Log message:
py-pandas: updated to 0.23.0

v0.23.0:

This is a major release from 0.22.0 and includes a number of API changes,
deprecations, new features, enhancements, and performance improvements along
with a large number of bug fixes. We recommend that all users upgrade to this
version.

Highlights include:
- Round-trippable JSON format with 'table' orient
- Instantiation from dicts respects order for Python 3.6+
- Dependent column arguments for assign
- Merging / sorting on a combination of columns and index levels
- Extending Pandas with custom types
- Excluding unobserved categories from groupby
- Changes to make output shape of DataFrame.apply consistent

Log message:
Now DEPENDS on py-matplotlib rather than buildlinking

Log message:
py-pandas: updated to 0.22.0

v0.22.0:

This is a major release from 0.21.1 and includes a single, API-breaking change. \ 
We recommend that all users upgrade to this version after carefully reading the \ 
release note.

The only changes are:
* The sum of an empty or all-NA Series is now 0
* The product of an empty or all-NA Series is now 1
* We’ve added a min_count parameter to .sum() and .prod() controlling the \ 
minimum number of valid values for the result to be valid. If fewer than \ 
min_count non-NA values are present, the result is NA. The default is 0. To \ 
return NaN, the 0.21 behavior, use min_count=1.

Log message:
py-pandas: updated to 0.21.1

v0.21.1:
Restore Matplotlib datetime Converter Registration
New features
- Improvements to the Parquet IO functionality
- Other Enhancements
Deprecations
Performance Improvements
Bug Fixes
- Conversion
- Indexing
- I/O
- Plotting
- Groupby/Resample/Rolling
- Reshaping
- Numeric
- Categorical
- String

Log message:
py-pandas: updated to 0.21.0

v0.21.0 Final:

This is a major release from 0.20.3 and includes a number of API changes, \ 
deprecations, new features, enhancements, and performance improvements along \ 
with a large number of bug fixes. We recommend that all users upgrade to this \ 
version.

Highlights include:
* Integration with Apache Parquet, including a new top-level read_parquet \ 
function and DataFrame.to_parquet method, see here.
* New user-facing dtype pandas.api.types.CategoricalDtype for specifying \ 
categoricals independent of the data, see here.
* The behavior of sum and prod on all-NaN Series/DataFrames is now consistent \ 
and no longer depends on whether bottleneck is installed, see here.
* Compatibility fixes for pypy, see here.
* Additions to the drop, reindex and rename API to make them more consistent, \ 
see here.
* Addition of the new methods DataFrame.infer_objects (see here) and \ 
GroupBy.pipe (see here).
* Indexing with a list of labels, where one or more of the labels is missing, is \ 
deprecated and will raise a KeyError in a future version

Log message:
0.20.3

Bug Fixes
* Fixed a bug in failing to compute rolling computations of a \ 
column-MultiIndexed DataFrame
* Fixed a pytest marker failing downstream packages’ tests suites

Conversion
* Bug in pickle compat prior to the v0.20.x series, when UTC is a timezone in a \ 
Series/DataFrame/Index
* Bug in Series construction when passing a Series with dtype='category'.
* Bug in DataFrame.astype() when passing a Series as the dtype kwarg..

Indexing
* Bug in Float64Index causing an empty array instead of None to be returned from \ 
.get(np.nan) on a Series whose index did not contain any NaN s
* Bug in MultiIndex.isin causing an error when passing an empty iterable
* Fixed a bug in a slicing DataFrame/Series that have a TimedeltaIndex

I/O
* Bug in read_csv() in which files weren’t opened as binary files by the C \ 
engine on Windows, causing EOF characters mid-field, which would fail
* Bug in read_hdf() in which reading a Series saved to an HDF file in \ 
‘fixed’ format fails when an explicit mode='r' argument is supplied
* Bug in DataFrame.to_latex() where bold_rows was wrongly specified to be True \ 
by default, whereas in reality row labels remained non-bold whatever parameter \ 
provided.
* Fixed an issue with DataFrame.style() where generated element ids were not unique
* Fixed loading a DataFrame with a PeriodIndex, from a format='fixed' HDFStore, \ 
in Python 3, that was written in Python 2

Plotting
* Fixed regression that prevented RGB and RGBA tuples from being used as color \ 
arguments
* Fixed an issue with DataFrame.plot.scatter() that incorrectly raised a \ 
KeyError when categorical data is used for plotting

Reshaping
* PeriodIndex / TimedeltaIndex.join was missing the sort= kwarg
* Bug in joining on a MultiIndex with a category dtype for a level.
* Bug in merge() when merging/joining with multiple categorical columns

Categorical
* Bug in DataFrame.sort_values not respecting the kind parameter with \ 
categorical data