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Bump pytables version to >= 3.4.3
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ci/deps/azure-36-minimum_versions.yaml

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@@ -21,7 +21,7 @@ dependencies:
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- numexpr=2.6.2
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- numpy=1.13.3
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- openpyxl=2.5.7
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- pytables=3.4.2
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- pytables=3.4.3
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- python-dateutil=2.6.1
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- pytz=2017.2
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- scipy=0.19.0

doc/source/getting_started/install.rst

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@@ -262,7 +262,7 @@ BeautifulSoup4 4.6.0 HTML parser for read_html (see :ref
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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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PyTables 3.4.3 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 0.9.8 Excel writing
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pyarrow 0.12.0 Parquet, ORC (requires 0.13.0), and feather reading / writing
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pymysql 0.7.11 MySQL engine for sqlalchemy
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pyreadstat SPSS files (.sav) reading
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pytables 3.4.2 HDF5 reading / writing
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pytables 3.4.3 HDF5 reading / writing
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pyxlsb 1.0.6 Reading for xlsb files
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qtpy Clipboard I/O
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s3fs 0.3.0 Amazon S3 access

environment.yml

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@@ -97,7 +97,7 @@ dependencies:
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- python-snappy # required by pyarrow
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- pyqt>=5.9.2 # pandas.read_clipboard
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- pytables>=3.4.2 # pandas.read_hdf, DataFrame.to_hdf
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- pytables>=3.4.3 # pandas.read_hdf, DataFrame.to_hdf
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- s3fs # pandas.read_csv... when using 's3://...' path
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- sqlalchemy # pandas.read_sql, DataFrame.to_sql
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- xarray # DataFrame.to_xarray

pandas/compat/_optional.py

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@@ -17,13 +17,13 @@
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"openpyxl": "2.5.7",
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"pandas_gbq": "0.8.0",
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"pyarrow": "0.13.0",
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"pytables": "3.4.2",
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"pytables": "3.4.3",
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"pytest": "5.0.1",
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"pyxlsb": "1.0.6",
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"s3fs": "0.3.0",
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"scipy": "0.19.0",
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"sqlalchemy": "1.1.4",
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"tables": "3.4.2",
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"tables": "3.4.3",
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"tabulate": "0.8.3",
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"xarray": "0.8.2",
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"xlrd": "1.1.0",

requirements-dev.txt

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@@ -64,11 +64,11 @@ fastparquet>=0.3.2
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pyarrow>=0.13.1
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python-snappy
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pyqt5>=5.9.2
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tables>=3.4.2
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tables>=3.4.3
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s3fs
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sqlalchemy
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xarray
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pyreadstat
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tabulate>=0.8.3
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git+https://github.com/pandas-dev/pandas-sphinx-theme.git@master
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git+https://github.com/numpy/numpydoc
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git+https://github.com/numpy/numpydoc

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