BUG: parase_dates column is in dataframe (#31251)

README.md

@@ -5,82 +5,16 @@
 -----------------
 
 # pandas: powerful Python data analysis toolkit
-
-<table>
-<tr>
-  <td>Latest Release</td>
-  <td>
-    <a href="https://pypi.org/project/pandas/">
-    <img src="https://img.shields.io/pypi/v/pandas.svg" alt="latest release" />
-    </a>
-  </td>
-</tr>
-  <td></td>
-  <td>
-    <a href="https://anaconda.org/anaconda/pandas/">
-    <img src="https://anaconda.org/conda-forge/pandas/badges/version.svg" alt="latest release" />
-    </a>
-</td>
-</tr>
-<tr>
-  <td>Package Status</td>
-  <td>
-		<a href="https://pypi.org/project/pandas/">
-		<img src="https://img.shields.io/pypi/status/pandas.svg" alt="status" />
-		</a>
-  </td>
-</tr>
-<tr>
-  <td>License</td>
-  <td>
-    <a href="https://github.com/pandas-dev/pandas/blob/master/LICENSE">
-    <img src="https://img.shields.io/pypi/l/pandas.svg" alt="license" />
-    </a>
-</td>
-</tr>
-<tr>
-  <td>Build Status</td>
-  <td>
-    <a href="https://travis-ci.org/pandas-dev/pandas">
-    <img src="https://travis-ci.org/pandas-dev/pandas.svg?branch=master" alt="travis build status" />
-    </a>
-  </td>
-</tr>
-<tr>
-  <td></td>
-  <td>
-    <a href="https://dev.azure.com/pandas-dev/pandas/_build/latest?definitionId=1&branch=master">
-      <img src="https://dev.azure.com/pandas-dev/pandas/_apis/build/status/pandas-dev.pandas?branch=master" alt="Azure Pipelines build status" />
-    </a>
-  </td>
-</tr>
-<tr>
-  <td>Coverage</td>
-  <td>
-    <a href="https://codecov.io/gh/pandas-dev/pandas">
-    <img src="https://codecov.io/github/pandas-dev/pandas/coverage.svg?branch=master" alt="coverage" />
-    </a>
-  </td>
-</tr>
-<tr>
-  <td>Downloads</td>
-  <td>
-    <a href="https://pandas.pydata.org">
-    <img src="https://anaconda.org/conda-forge/pandas/badges/downloads.svg" alt="conda-forge downloads" />
-    </a>
-  </td>
-</tr>
-<tr>
-	<td>Gitter</td>
-	<td>
-		<a href="https://gitter.im/pydata/pandas">
-		<img src="https://badges.gitter.im/Join%20Chat.svg" />
-		</a>
-	</td>
-</tr>
-</table>
-
-
+[![PyPI Latest Release](https://img.shields.io/pypi/v/pandas.svg)](https://pypi.org/project/pandas/)
+[![Conda Latest Release](https://anaconda.org/conda-forge/pandas/badges/version.svg)](https://anaconda.org/anaconda/pandas/)
+[![Package Status](https://img.shields.io/pypi/status/pandas.svg)](https://pypi.org/project/pandas/)
+[![License](https://img.shields.io/pypi/l/pandas.svg)](https://github.com/pandas-dev/pandas/blob/master/LICENSE)
+[![Travis Build Status](https://travis-ci.org/pandas-dev/pandas.svg?branch=master)](https://travis-ci.org/pandas-dev/pandas)
+[![Azure Build Status](https://dev.azure.com/pandas-dev/pandas/_apis/build/status/pandas-dev.pandas?branch=master)](https://dev.azure.com/pandas-dev/pandas/_build/latest?definitionId=1&branch=master)
+[![Coverage](https://codecov.io/github/pandas-dev/pandas/coverage.svg?branch=master)](https://codecov.io/gh/pandas-dev/pandas)
+[![Downloads](https://anaconda.org/conda-forge/pandas/badges/downloads.svg)](https://pandas.pydata.org)
+[![Gitter](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/pydata/pandas)
+[![Powered by NumFOCUS](https://img.shields.io/badge/powered%20by-NumFOCUS-orange.svg?style=flat&colorA=E1523D&colorB=007D8A)](https://numfocus.org)
 
 ## What is it?
 

ci/code_checks.sh

@@ -113,7 +113,7 @@ if [[ -z "$CHECK" || "$CHECK" == "lint" ]]; then
 
     # Imports - Check formatting using isort see setup.cfg for settings
     MSG='Check import format using isort' ; echo $MSG
-    ISORT_CMD="isort --recursive --check-only pandas asv_bench"
+    ISORT_CMD="isort --quiet --recursive --check-only pandas asv_bench"
     if [[ "$GITHUB_ACTIONS" == "true" ]]; then
         eval $ISORT_CMD | awk '{print "##[error]" $0}'; RET=$(($RET + ${PIPESTATUS[0]}))
     else

ci/deps/travis-36-cov.yaml

@@ -27,8 +27,7 @@ dependencies:
   - numexpr
   - numpy=1.15.*
   - odfpy
-  - openpyxl<=3.0.1
-  # https://github.com/pandas-dev/pandas/pull/30009 openpyxl 3.0.2 broke
+  - openpyxl
   - pandas-gbq
   - psycopg2
   - pyarrow>=0.13.0

ci/deps/travis-37.yaml

@@ -2,7 +2,6 @@ name: pandas-dev
 channels:
   - defaults
   - conda-forge
-  - c3i_test
 dependencies:
   - python=3.7.*
 

doc/redirects.csv

@@ -46,7 +46,10 @@ developer,development/developer
 extending,development/extending
 internals,development/internals
 
-# api
+# api moved function
+reference/api/pandas.io.json.json_normalize,pandas.json_normalize
+
+# api rename
 api,reference/index
 generated/pandas.api.extensions.ExtensionArray.argsort,../reference/api/pandas.api.extensions.ExtensionArray.argsort
 generated/pandas.api.extensions.ExtensionArray.astype,../reference/api/pandas.api.extensions.ExtensionArray.astype

doc/source/conf.py

@@ -209,6 +209,7 @@
     "external_links": [],
     "github_url": "https://github.com/pandas-dev/pandas",
     "twitter_url": "https://twitter.com/pandas_dev",
+    "google_analytics_id": "UA-27880019-2",
 }
 
 # Add any paths that contain custom themes here, relative to this directory.

doc/source/getting_started/basics.rst

@@ -1973,7 +1973,7 @@ Pandas has two ways to store strings.
 1. ``object`` dtype, which can hold any Python object, including strings.
 2. :class:`StringDtype`, which is dedicated to strings.
 
-Generally, we recommend using :class:`StringDtype`. See :ref:`text.types` fore more.
+Generally, we recommend using :class:`StringDtype`. See :ref:`text.types` for more.
 
 Finally, arbitrary objects may be stored using the ``object`` dtype, but should
 be avoided to the extent possible (for performance and interoperability with

doc/source/user_guide/visualization.rst

@@ -1641,3 +1641,46 @@ when plotting a large number of points.
    :suppress:
 
     plt.close('all')
+
+Plotting backends
+-----------------
+
+Starting in version 0.25, pandas can be extended with third-party plotting backends. The
+main idea is letting users select a plotting backend different than the provided
+one based on Matplotlib.
+
+This can be done by passsing 'backend.module' as the argument ``backend`` in ``plot``
+function. For example:
+
+.. code-block:: python
+
+    >>> Series([1, 2, 3]).plot(backend='backend.module')
+
+Alternatively, you can also set this option globally, do you don't need to specify
+the keyword in each ``plot`` call. For example:
+
+.. code-block:: python
+
+    >>> pd.set_option('plotting.backend', 'backend.module')
+    >>> pd.Series([1, 2, 3]).plot()
+
+Or:
+
+.. code-block:: python
+
+    >>> pd.options.plotting.backend = 'backend.module'
+    >>> pd.Series([1, 2, 3]).plot()
+
+This would be more or less equivalent to:
+
+.. code-block:: python
+
+    >>> import backend.module
+    >>> backend.module.plot(pd.Series([1, 2, 3]))
+
+The backend module can then use other visualization tools (Bokeh, Altair, hvplot,...)
+to generate the plots. Some libraries implementing a backend for pandas are listed
+on the ecosystem :ref:`ecosystem.visualization` page.
+
+Developers guide can be found at
+https://dev.pandas.io/docs/development/extending.html#plotting-backends

doc/source/whatsnew/index.rst

@@ -26,6 +26,7 @@ Version 1.0
 
    v1.0.0
    v1.0.1
+   v1.0.2
 
 Version 0.25
 ------------

doc/source/whatsnew/v1.0.1.rst

@@ -1,7 +1,7 @@
 .. _whatsnew_101:
 
-What's new in 1.0.1 (??)
-------------------------
+What's new in 1.0.1 (February 5, 2020)
+--------------------------------------
 
 These are the changes in pandas 1.0.1. See :ref:`release` for a full changelog
 including other versions of pandas.
@@ -10,130 +10,70 @@ including other versions of pandas.
 
 .. ---------------------------------------------------------------------------
 
+.. _whatsnew_101.regressions:
 
-.. _whatsnew_101.bug_fixes:
-
-Bug fixes
-~~~~~~~~~
-- Bug in :meth:`GroupBy.apply` was raising ``TypeError`` if called with function which returned a non-pandas non-scalar object (e.g. a list) (:issue:`31441`)
-
-Categorical
-^^^^^^^^^^^
-
--
--
-
-Datetimelike
-^^^^^^^^^^^^
-- Fixed regression in :meth:`to_datetime` when parsing non-nanosecond resolution datetimes (:issue:`31491`)
-- Fixed bug in :meth:`to_datetime` raising when ``cache=True`` and out-of-bound values are present (:issue:`31491`)
-
-Timedelta
-^^^^^^^^^
-
--
--
-
-Timezones
-^^^^^^^^^
-
--
--
-
-
-Numeric
-^^^^^^^
-- Bug in dtypes being lost in ``DataFrame.__invert__`` (``~`` operator) with mixed dtypes (:issue:`31183`)
-- Bug in :class:`Series` multiplication when multiplying a numeric :class:`Series` with >10000 elements with a timedelta-like scalar (:issue:`31467`)
--
-
-Conversion
-^^^^^^^^^^
-
--
--
-
-Strings
-^^^^^^^
-
--
--
-
+Fixed regressions
+~~~~~~~~~~~~~~~~~
 
-Interval
-^^^^^^^^
-
--
--
-
-Indexing
-^^^^^^^^
-
-- Fixed regression when indexing a ``Series`` or ``DataFrame`` indexed by ``DatetimeIndex`` with a slice containg a :class:`datetime.date` (:issue:`31501`)
 - Fixed regression in :class:`DataFrame` setting values with a slice (e.g. ``df[-4:] = 1``) indexing by label instead of position (:issue:`31469`)
--
--
-- Bug where assigning to a :class:`Series` using a IntegerArray / BooleanArray as a mask would raise ``TypeError`` (:issue:`31446`)
-
-Missing
-^^^^^^^
-
--
--
-
-MultiIndex
-^^^^^^^^^^
-
--
--
+- Fixed regression when indexing a ``Series`` or ``DataFrame`` indexed by ``DatetimeIndex`` with a slice containg a :class:`datetime.date` (:issue:`31501`)
+- Fixed regression in ``DataFrame.__setitem__`` raising an ``AttributeError`` with a :class:`MultiIndex` and a non-monotonic indexer (:issue:`31449`)
+- Fixed regression in :class:`Series` multiplication when multiplying a numeric :class:`Series` with >10000 elements with a timedelta-like scalar (:issue:`31457`)
+- Fixed regression in ``.groupby().agg()`` raising an ``AssertionError`` for some reductions like ``min`` on object-dtype columns (:issue:`31522`)
+- Fixed regression in ``.groupby()`` aggregations with categorical dtype using Cythonized reduction functions (e.g. ``first``) (:issue:`31450`)
+- Fixed regression in :meth:`GroupBy.apply` if called with a function which returned a non-pandas non-scalar object (e.g. a list or numpy array) (:issue:`31441`)
+- Fixed regression in :meth:`DataFrame.groupby` whereby taking the minimum or maximum of a column with period dtype would raise a ``TypeError``. (:issue:`31471`)
+- Fixed regression in :meth:`DataFrame.groupby` with an empty DataFrame grouping by a level of a MultiIndex (:issue:`31670`).
+- Fixed regression in :meth:`DataFrame.apply` with object dtype and non-reducing function (:issue:`31505`)
+- Fixed regression in :meth:`to_datetime` when parsing non-nanosecond resolution datetimes (:issue:`31491`)
+- Fixed regression in :meth:`~DataFrame.to_csv` where specifying an ``na_rep`` might truncate the values written (:issue:`31447`)
+- Fixed regression in :class:`Categorical` construction with ``numpy.str_`` categories (:issue:`31499`)
+- Fixed regression in :meth:`DataFrame.loc` and :meth:`DataFrame.iloc` when selecting a row containing a single ``datetime64`` or ``timedelta64`` column (:issue:`31649`)
+- Fixed regression where setting :attr:`pd.options.display.max_colwidth` was not accepting negative integer. In addition, this behavior has been deprecated in favor of using ``None`` (:issue:`31532`)
+- Fixed regression in objTOJSON.c fix return-type warning (:issue:`31463`)
+- Fixed regression in :meth:`qcut` when passed a nullable integer. (:issue:`31389`)
+- Fixed regression in assigning to a :class:`Series` using a nullable integer dtype (:issue:`31446`)
+- Fixed performance regression when indexing a ``DataFrame`` or ``Series`` with a :class:`MultiIndex` for the index using a list of labels (:issue:`31648`)
+- Fixed regression in :meth:`read_csv` used in file like object ``RawIOBase`` is not recognize ``encoding`` option (:issue:`31575`)
 
-I/O
-^^^
+.. ---------------------------------------------------------------------------
 
-- Fixed regression in :meth:`~DataFrame.to_csv` where specifying an ``na_rep`` might truncate the values written (:issue:`31447`)
--
--
+.. _whatsnew_101.deprecations:
 
-Plotting
-^^^^^^^^
+Deprecations
+~~~~~~~~~~~~
 
--
--
+- Support for negative integer for :attr:`pd.options.display.max_colwidth` is deprecated in favor of using ``None`` (:issue:`31532`)
 
-Groupby/resample/rolling
-^^^^^^^^^^^^^^^^^^^^^^^^
+.. ---------------------------------------------------------------------------
 
--
--
+.. _whatsnew_101.bug_fixes:
 
+Bug fixes
+~~~~~~~~~
 
-Reshaping
-^^^^^^^^^
+**Datetimelike**
 
--
--
+- Fixed bug in :meth:`to_datetime` raising when ``cache=True`` and out-of-bound values are present (:issue:`31491`)
 
-Sparse
-^^^^^^
+**Numeric**
 
--
--
+- Bug in dtypes being lost in ``DataFrame.__invert__`` (``~`` operator) with mixed dtypes (:issue:`31183`)
+  and for extension-array backed ``Series`` and ``DataFrame`` (:issue:`23087`)
 
-ExtensionArray
-^^^^^^^^^^^^^^
+**Plotting**
 
-- Bug in dtype being lost in ``__invert__``  (``~`` operator) for extension-array backed ``Series`` and ``DataFrame`` (:issue:`23087`)
--
+- Plotting tz-aware timeseries no longer gives UserWarning (:issue:`31205`)
 
+**Interval**
 
-Other
-^^^^^
--
--
+- Bug in :meth:`Series.shift` with ``interval`` dtype raising a ``TypeError`` when shifting an interval array of integers or datetimes (:issue:`34195`)
 
 .. ---------------------------------------------------------------------------
 
 .. _whatsnew_101.contributors:
 
 Contributors
 ~~~~~~~~~~~~
+
+.. contributors:: v1.0.0..v1.0.1|HEAD