Merge branch 'master' into GH22895_fix_docstring_for_set_axis_name

Author: bkjchoi72

.travis.yml

@@ -53,18 +53,20 @@ matrix:
     - dist: trusty
       env:
         - JOB="3.6, coverage" ENV_FILE="ci/travis-36.yaml" TEST_ARGS="--skip-slow --skip-network" PANDAS_TESTING_MODE="deprecate" COVERAGE=true DOCTEST=true
-    # In allow_failures
-    - dist: trusty
-      env:
-        - JOB="3.6, slow" ENV_FILE="ci/travis-36-slow.yaml" SLOW=true
-    # In allow_failures
+
     - dist: trusty
       env:
         - JOB="3.7, NumPy dev" ENV_FILE="ci/travis-37-numpydev.yaml" TEST_ARGS="--skip-slow --skip-network -W error" PANDAS_TESTING_MODE="deprecate"
       addons:
         apt:
           packages:
           - xsel
+
+    # In allow_failures
+    - dist: trusty
+      env:
+        - JOB="3.6, slow" ENV_FILE="ci/travis-36-slow.yaml" SLOW=true
+
     # In allow_failures
     - dist: trusty
       env:
@@ -73,13 +75,6 @@ matrix:
       - dist: trusty
         env:
           - JOB="3.6, slow" ENV_FILE="ci/travis-36-slow.yaml" SLOW=true
-      - dist: trusty
-        env:
-          - JOB="3.7, NumPy dev" ENV_FILE="ci/travis-37-numpydev.yaml" TEST_ARGS="--skip-slow --skip-network -W error" PANDAS_TESTING_MODE="deprecate"
-        addons:
-          apt:
-            packages:
-            - xsel
       - dist: trusty
         env:
           - JOB="3.6, doc" ENV_FILE="ci/travis-36-doc.yaml" DOC=true

asv_bench/benchmarks/indexing.py

@@ -2,10 +2,10 @@
 
 import numpy as np
 import pandas.util.testing as tm
-from pandas import (Series, DataFrame, MultiIndex, Int64Index, Float64Index,
-                    IntervalIndex, CategoricalIndex,
-                    IndexSlice, concat, date_range)
-from .pandas_vb_common import setup, Panel  # noqa
+from pandas import (Series, DataFrame, MultiIndex, Panel,
+                    Int64Index, Float64Index, IntervalIndex,
+                    CategoricalIndex, IndexSlice, concat, date_range)
+from .pandas_vb_common import setup  # noqa
 
 
 class NumericSeriesIndexing(object):

asv_bench/benchmarks/join_merge.py

@@ -3,14 +3,15 @@
 
 import numpy as np
 import pandas.util.testing as tm
-from pandas import (DataFrame, Series, MultiIndex, date_range, concat, merge,
-                    merge_asof)
+from pandas import (DataFrame, Series, Panel, MultiIndex,
+                    date_range, concat, merge, merge_asof)
+
 try:
     from pandas import merge_ordered
 except ImportError:
     from pandas import ordered_merge as merge_ordered
 
-from .pandas_vb_common import Panel, setup  # noqa
+from .pandas_vb_common import setup  # noqa
 
 
 class Append(object):

asv_bench/benchmarks/panel_ctor.py

@@ -1,9 +1,9 @@
 import warnings
 from datetime import datetime, timedelta
 
-from pandas import DataFrame, DatetimeIndex, date_range
+from pandas import DataFrame, Panel, DatetimeIndex, date_range
 
-from .pandas_vb_common import Panel, setup  # noqa
+from .pandas_vb_common import setup  # noqa
 
 
 class DifferentIndexes(object):

asv_bench/benchmarks/panel_methods.py

@@ -1,8 +1,9 @@
 import warnings
 
 import numpy as np
+from pandas import Panel
 
-from .pandas_vb_common import Panel, setup  # noqa
+from .pandas_vb_common import setup  # noqa
 
 
 class PanelMethods(object):

azure-pipelines.yml

@@ -18,8 +18,8 @@ jobs:
 - template: ci/azure/windows.yml
   parameters:
     name: Windows
-    vmImage: vs2017-win2017
+    vmImage: vs2017-win2016
 - template: ci/azure/windows-py27.yml
   parameters:
     name: WindowsPy27
-    vmImage: vs2017-win2017
+    vmImage: vs2017-win2016

ci/travis-27.yaml

@@ -44,7 +44,7 @@ dependencies:
   # universal
   - pytest
   - pytest-xdist
-  - moto
+  - moto==1.3.4
   - hypothesis>=3.58.0
   - pip:
     - backports.lzma

ci/travis-36-doc.yaml

@@ -12,7 +12,7 @@ dependencies:
   - html5lib
   - hypothesis>=3.58.0
   - ipykernel
-  - ipython
+  - ipython==6.5.0
   - ipywidgets
   - lxml
   - matplotlib

doc/source/contributing.rst

@@ -880,7 +880,7 @@ If your change involves checking that a warning is actually emitted, use
 
 .. code-block:: python
 
-   with tm.assert_prodcues_warning(FutureWarning):
+   with tm.assert_produces_warning(FutureWarning):
        df.some_operation()
 
 We prefer this to the ``pytest.warns`` context manager because ours checks that the warning's

doc/source/whatsnew/v0.24.0.txt

@@ -199,6 +199,7 @@ Other Enhancements
 
 Backwards incompatible API changes
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+- A newly constructed empty :class:`DataFrame` with integer as the ``dtype`` will now only be cast to ``float64`` if ``index`` is specified (:issue:`22858`)
 
 
 .. _whatsnew_0240.api_breaking.interval_values:
@@ -505,6 +506,7 @@ ExtensionType Changes
 - :meth:`Series.astype` and :meth:`DataFrame.astype` now dispatch to :meth:`ExtensionArray.astype` (:issue:`21185:`).
 - Slicing a single row of a ``DataFrame`` with multiple ExtensionArrays of the same type now preserves the dtype, rather than coercing to object (:issue:`22784`)
 - Added :meth:`pandas.api.types.register_extension_dtype` to register an extension type with pandas (:issue:`22664`)
+- Updated the ``.type`` attribute for ``PeriodDtype``, ``DatetimeTZDtype``, and ``IntervalDtype`` to be instances of the dtype (``Period``, ``Timestamp``, and ``Interval`` respectively) (:issue:`22938`)
 
 .. _whatsnew_0240.api.incompatibilities:
 
@@ -532,6 +534,35 @@ Current Behavior:
     ...
     OverflowError: Trying to coerce negative values to unsigned integers
 
+.. _whatsnew_0240.api.crosstab_dtypes
+
+Crosstab Preserves Dtypes
+^^^^^^^^^^^^^^^^^^^^^^^^^
+
+:func:`crosstab` will preserve now dtypes in some cases that previously would
+cast from integer dtype to floating dtype (:issue:`22019`)
+
+Previous Behavior:
+
+.. code-block:: ipython
+
+    In [3]: df = pd.DataFrame({'a': [1, 2, 2, 2, 2], 'b': [3, 3, 4, 4, 4],
+       ...:                    'c': [1, 1, np.nan, 1, 1]})
+    In [4]: pd.crosstab(df.a, df.b, normalize='columns')
+    Out[4]:
+    b    3    4
+    a
+    1  0.5  0.0
+    2  0.5  1.0
+
+Current Behavior:
+
+.. code-block:: ipython
+
+    In [3]: df = pd.DataFrame({'a': [1, 2, 2, 2, 2], 'b': [3, 3, 4, 4, 4],
+       ...:                    'c': [1, 1, np.nan, 1, 1]})
+    In [4]: pd.crosstab(df.a, df.b, normalize='columns')
+
 Datetimelike API Changes
 ^^^^^^^^^^^^^^^^^^^^^^^^
 
@@ -666,7 +697,7 @@ Timedelta
 - Bug in :class:`Index` with numeric dtype when multiplying or dividing an array with dtype ``timedelta64`` (:issue:`22390`)
 - Bug in :class:`TimedeltaIndex` incorrectly allowing indexing with ``Timestamp`` object (:issue:`20464`)
 - Fixed bug where subtracting :class:`Timedelta` from an object-dtyped array would raise ``TypeError`` (:issue:`21980`)
--
+- Fixed bug in adding a :class:`DataFrame` with all-`timedelta64[ns]` dtypes to a :class:`DataFrame` with all-integer dtypes returning incorrect results instead of raising ``TypeError`` (:issue:`22696`)
 -
 
 Timezones
@@ -794,6 +825,7 @@ Groupby/Resample/Rolling
 - Bug in :meth:`Resampler.asfreq` when frequency of ``TimedeltaIndex`` is a subperiod of a new frequency (:issue:`13022`).
 - Bug in :meth:`SeriesGroupBy.mean` when values were integral but could not fit inside of int64, overflowing instead. (:issue:`22487`)
 - :func:`RollingGroupby.agg` and :func:`ExpandingGroupby.agg` now support multiple aggregation functions as parameters (:issue:`15072`)
+- Bug in :meth:`DataFrame.resample` and :meth:`Series.resample` when resampling by a weekly offset (``'W'``) across a DST transition (:issue:`9119`, :issue:`21459`)
 
 Sparse
 ^^^^^^
@@ -817,6 +849,7 @@ Reshaping
 - Bug in :meth:`DataFrame.drop_duplicates` for empty ``DataFrame`` which incorrectly raises an error (:issue:`20516`)
 - Bug in :func:`pandas.wide_to_long` when a string is passed to the stubnames argument and a column name is a substring of that stubname (:issue:`22468`)
 - Bug in :func:`merge` when merging ``datetime64[ns, tz]`` data that contained a DST transition (:issue:`18885`)
+- Bug in :func:`merge_asof` when merging on float values within defined tolerance (:issue:`22981`)
 
 Build Changes
 ^^^^^^^^^^^^^
@@ -834,4 +867,3 @@ Other
 - :meth:`DataFrame.nlargest` and :meth:`DataFrame.nsmallest` now returns the correct n values when keep != 'all' also when tied on the first columns (:issue:`22752`)
 - :meth:`~pandas.io.formats.style.Styler.bar` now also supports tablewise application (in addition to rowwise and columnwise) with ``axis=None`` and setting clipping range with ``vmin`` and ``vmax`` (:issue:`21548` and :issue:`21526`). ``NaN`` values are also handled properly.
 - Logical operations ``&, |, ^`` between :class:`Series` and :class:`Index` will no longer raise ``ValueError`` (:issue:`22092`)
--