Merge branch 'master' into single_level

Author: LucasG0

.pre-commit-config.yaml

@@ -3,7 +3,7 @@ repos:
     rev: 19.10b0
     hooks:
     -   id: black
-        language_version: python3.7
+        language_version: python3
 -   repo: https://gitlab.com/pycqa/flake8
     rev: 3.7.7
     hooks:

README.md

@@ -20,7 +20,7 @@
 
 ## What is it?
 
-**pandas** is a Python package providing fast, flexible, and expressive data
+**pandas** is a Python package that provides fast, flexible, and expressive data
 structures designed to make working with "relational" or "labeled" data both
 easy and intuitive. It aims to be the fundamental high-level building block for
 doing practical, **real world** data analysis in Python. Additionally, it has
@@ -154,11 +154,11 @@ For usage questions, the best place to go to is [StackOverflow](https://stackove
 Further, general questions and discussions can also take place on the [pydata mailing list](https://groups.google.com/forum/?fromgroups#!forum/pydata).
 
 ## Discussion and Development
-Most development discussion is taking place on github in this repo. Further, the [pandas-dev mailing list](https://mail.python.org/mailman/listinfo/pandas-dev) can also be used for specialized discussions or design issues, and a [Gitter channel](https://gitter.im/pydata/pandas) is available for quick development related questions.
+Most development discussions take place on github in this repo. Further, the [pandas-dev mailing list](https://mail.python.org/mailman/listinfo/pandas-dev) can also be used for specialized discussions or design issues, and a [Gitter channel](https://gitter.im/pydata/pandas) is available for quick development related questions.
 
 ## Contributing to pandas [![Open Source Helpers](https://www.codetriage.com/pandas-dev/pandas/badges/users.svg)](https://www.codetriage.com/pandas-dev/pandas)
 
-All contributions, bug reports, bug fixes, documentation improvements, enhancements and ideas are welcome.
+All contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome.
 
 A detailed overview on how to contribute can be found in the **[contributing guide](https://pandas.pydata.org/docs/dev/development/contributing.html)**. There is also an [overview](.github/CONTRIBUTING.md) on GitHub.
 

ci/azure/windows.yml

@@ -13,7 +13,7 @@ jobs:
         CONDA_PY: "36"
         PATTERN: "not slow and not network"
 
-      py37_np141:
+      py37_np18:
         ENV_FILE: ci/deps/azure-windows-37.yaml
         CONDA_PY: "37"
         PATTERN: "not slow and not network"

ci/deps/azure-windows-37.yaml

@@ -22,7 +22,7 @@ dependencies:
   - matplotlib=2.2.*
   - moto
   - numexpr
-  - numpy=1.14.*
+  - numpy=1.18.*
   - openpyxl
   - pyarrow=0.14
   - pytables

doc/source/development/contributing.rst

@@ -136,6 +136,10 @@ want to clone your fork to your machine::
 This creates the directory `pandas-yourname` and connects your repository to
 the upstream (main project) *pandas* repository.
 
+Note that performing a shallow clone (with ``--depth==N``, for some ``N`` greater
+or equal to 1) might break some tests and features as ``pd.show_versions()``
+as the version number cannot be computed anymore.
+
 .. _contributing.dev_env:
 
 Creating a development environment

doc/source/ecosystem.rst

@@ -320,6 +320,20 @@ provide a pandas-like and pandas-compatible toolkit for analytics on multi-
 dimensional arrays, rather than the tabular data for which pandas excels.
 
 
+.. _ecosystem.io:
+
+IO
+--
+
+`BCPandas <https://github.com/yehoshuadimarsky/bcpandas>`__
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+BCPandas provides high performance writes from pandas to Microsoft SQL Server,
+far exceeding the performance of the native ``df.to_sql`` method. Internally, it uses
+Microsoft's BCP utility, but the complexity is fully abstracted away from the end user.
+Rigorously tested, it is a complete replacement for ``df.to_sql``.
+
+
 .. _ecosystem.out-of-core:
 
 Out-of-core

doc/source/getting_started/intro_tutorials/01_table_oriented.rst

@@ -51,7 +51,7 @@ I want to store passenger data of the Titanic. For a number of passengers, I kno
     df
 
 To manually store data in a table, create a ``DataFrame``. When using a Python dictionary of lists, the dictionary keys will be used as column headers and
-the values in each list as rows of the ``DataFrame``.
+the values in each list as columns of the ``DataFrame``.
 
 .. raw:: html
 
@@ -215,4 +215,4 @@ A more extended explanation to ``DataFrame`` and ``Series`` is provided in the :
 
 .. raw:: html
 
-    </div>
+    </div>

doc/source/getting_started/intro_tutorials/07_reshape_table_layout.rst

@@ -196,7 +196,7 @@ I want the values for the three stations as separate columns next to each other
 
     no2_subset.pivot(columns="location", values="value")
 
-The :meth:`~pandas.pivot_table` function is purely reshaping of the data: a single value
+The :meth:`~pandas.pivot` function is purely reshaping of the data: a single value
 for each index/column combination is required.
 
 .. raw:: html

doc/source/reference/general_utility_functions.rst

@@ -38,10 +38,11 @@ Exceptions and warnings
    errors.AccessorRegistrationWarning
    errors.DtypeWarning
    errors.EmptyDataError
-   errors.OutOfBoundsDatetime
+   errors.InvalidIndexError
    errors.MergeError
    errors.NullFrequencyError
    errors.NumbaUtilError
+   errors.OutOfBoundsDatetime
    errors.ParserError
    errors.ParserWarning
    errors.PerformanceWarning

doc/source/reference/groupby.rst

@@ -116,6 +116,7 @@ application to columns of a specific data type.
    DataFrameGroupBy.quantile
    DataFrameGroupBy.rank
    DataFrameGroupBy.resample
+   DataFrameGroupBy.sample
    DataFrameGroupBy.shift
    DataFrameGroupBy.size
    DataFrameGroupBy.skew