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TomAugspurgerTomAugspurger
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Bump minimum verions
xref pandas-dev#26595 (comment)
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‎ci/deps/azure-35-compat.yaml

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@@ -3,20 +3,20 @@ channels:
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- defaults
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- conda-forge
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dependencies:
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- beautifulsoup4=4.4.1
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- beautifulsoup4=4.6.0
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- bottleneck=1.2.1
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- jinja2=2.8
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- numexpr=2.6.2
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- numpy=1.13.3
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- openpyxl=2.4.0
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- openpyxl=2.4.8
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- pytables=3.4.2
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- python-dateutil=2.5.0
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- python-dateutil=2.6.1
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- python=3.5.*
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- pytz=2015.4
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- pytz=2017.2
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- scipy=0.19.0
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- xlrd=1.0.0
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- xlsxwriter=0.7.7
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- xlwt=1.0.0
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- xlrd=1.1.0
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- xlsxwriter=0.9.8
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- xlwt=1.2.0
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# universal
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- cython=0.28.2
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- hypothesis>=3.58.0

‎ci/deps/azure-36-locale.yaml

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@@ -3,21 +3,21 @@ channels:
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- defaults
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- conda-forge
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dependencies:
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- beautifulsoup4==4.5.1
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- beautifulsoup4==4.6.0
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- bottleneck=1.2.*
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- cython=0.28.2
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- lxml
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- matplotlib=2.2.2
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- numpy=1.14.*
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- openpyxl=2.4.0
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- openpyxl=2.4.8
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- python-dateutil
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- python-blosc
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- python=3.6.*
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- pytz=2016.10
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- pytz=2017.2
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- scipy
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- sqlalchemy=1.1.4
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- xlrd=1.0.0
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- xlsxwriter=0.9.4
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- xlrd=1.1.0
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- xlsxwriter=0.9.8
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- xlwt=1.2.0
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# universal
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- pytest>=4.0.2

‎ci/deps/azure-macos-35.yaml

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@@ -16,13 +16,13 @@ dependencies:
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- pyarrow
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- pytables
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- python=3.5.*
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- python-dateutil==2.6.1
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- pytz
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- xarray
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- xlrd
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- xlsxwriter
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- xlwt
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- pip:
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- python-dateutil==2.5.3
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# universal
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- pytest==4.5.0
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- pytest-xdist

‎doc/source/install.rst

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@@ -220,13 +220,19 @@ installed), make sure you have `pytest
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==================== 12130 passed, 12 skipped in 368.339 seconds =====================
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.. _install.dependencies:
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Dependencies
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------------
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* `setuptools <https://setuptools.readthedocs.io/en/latest/>`__: 24.2.0 or higher
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* `NumPy <http://www.numpy.org>`__: 1.13.3 or higher
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* `python-dateutil <https://dateutil.readthedocs.io/en/stable/>`__: 2.5.0 or higher
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* `pytz <http://pytz.sourceforge.net/>`__: 2015.4 or higher
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================================================================ ==========================
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Package Minimum supported version
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================================================================ ==========================
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`setuptools <https://setuptools.readthedocs.io/en/latest/>`__ 24.2.0
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`NumPy <http://www.numpy.org>`__ 1.13.3
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`python-dateutil <https://dateutil.readthedocs.io/en/stable/>`__ 2.6.1
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`pytz <http://pytz.sourceforge.net/>`__ 2017.2
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================================================================ ==========================
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.. _install.recommended_dependencies:
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========================= ================== =============================================================
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Dependency Minimum Version Notes
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========================= ================== =============================================================
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BeautifulSoup4 4.4.1 HTML parser for read_html (see :ref:`note <optional_html>`)
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BeautifulSoup4 4.6.0 HTML parser for read_html (see :ref:`note <optional_html>`)
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Jinja2 Conditional formatting with DataFrame.style
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PyQt4 Clipboard I/O
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PyQt5 Clipboard I/O
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PyTables 3.4.2 HDF5-based reading / writing
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SQLAlchemy 1.1.4 SQL support for databases other than sqlite
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SciPy 0.19.0 Miscellaneous statistical functions
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XLsxWriter Excel writing
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XLsxWriter 0.9.8 Excel writing
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blosc Compression for msgpack
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fastparquet 0.2.1 Parquet reading / writing
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gcsfs 0.1.0 Google Cloud Storage access
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html5lib HTML parser for read_html (see :ref:`note <optional_html>`)
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lxml HTML parser for read_html (see :ref:`note <optional_html>`)
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matplotlib 2.2.2 Visualization
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openpyxl 2.4.0 Reading / writing for xlsx files
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openpyxl 2.4.8 Reading / writing for xlsx files
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pandas-gbq 0.8.0 Google Big Query access
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psycopg2 PostgreSQL engine for sqlalchemy
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pyarrow 0.9.0 Parquet and feather reading / writing
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s3fs 0.0.8 Amazon S3 access
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xarray 0.8.2 pandas-like API for N-dimensional data
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xclip Clipboard I/O on linux
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xlrd 1.0.0 Excel reading
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xlwt 2.4.0 Excel writing
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xlrd 1.1.0 Excel reading
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xlwt 1.2.0 Excel writing
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xsel Clipboard I/O on linux
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zlib Compression for msgpack
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========================= ================== =============================================================

‎doc/source/whatsnew/v0.25.0.rst

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@@ -100,6 +100,28 @@ Other Enhancements
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- :class:`DatetimeIndex` and :class:`TimedeltaIndex` now have a ``mean`` method (:issue:`24757`)
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- :meth:`DataFrame.describe` now formats integer percentiles without decimal point (:issue:`26660`)
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.. _whatsnew_0250.dependencies:
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Updated minimum supported dependency versions
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Pandas now requires at least the following versions
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=============== =================== =========
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Package N New minimum version Required?
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=============== =================== =========
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python-dateutil 2.6.1 yes
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pytz 2017.2 yes
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bs4 4.6.0
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xlsxwriter 0.9.8
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openpyxl 2.4.8
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xlrd 1.1.0
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xlwt 1.2.0
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=============== =================== =========
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See :ref:`install.dependencies` and :ref:`install.optional_dependencies` for more.
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.. _whatsnew_0250.api_breaking:
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Backwards incompatible API changes

‎pandas/compat/_optional.py

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# Update install.rst when updating versions!
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VERSIONS = {
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"bs4": "4.4.1",
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"bs4": "4.6.0",
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"bottleneck": "1.2.1",
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"fastparquet": "0.2.1",
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"gcsfs": "0.1.0",
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"matplotlib": "2.2.2",
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"numexpr": "2.6.2",
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"openpyxl": "2.4.0",
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"openpyxl": "2.4.8",
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"pandas_gbq": "0.8.0",
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"pyarrow": "0.9.0",
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"pytables": "3.4.2",
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"s3fs": "0.0.8",
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"scipy": "0.19.0",
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"sqlalchemy": "1.1.4",
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"xarray": "0.8.2",
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"xlrd": "1.0.0",
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"xlwt": "2.4.0",
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"xlrd": "1.1.0",
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"xlwt": "1.2.0",
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"xlsxwriter": "0.9.8",
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}
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message = (

‎setup.py

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min_numpy_ver = '1.13.3'
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setuptools_kwargs = {
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'install_requires': [
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'python-dateutil >= 2.5.0',
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'pytz >= 2015.4',
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'python-dateutil >= 2.6.1',
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'pytz >= 2017.2',
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'numpy >= {numpy_ver}'.format(numpy_ver=min_numpy_ver),
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],
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'setup_requires': ['numpy >= {numpy_ver}'.format(numpy_ver=min_numpy_ver)],

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