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DEPS: Bump numpy to 1.13.3 (#25554)
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‎.travis.yml

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- dist: trusty
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env:
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- JOB="3.6, coverage" ENV_FILE="ci/deps/travis-36.yaml" PATTERN="((not slow and not network) or (single and db))" PANDAS_TESTING_MODE="deprecate" COVERAGE=true
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- JOB="3.6, coverage" ENV_FILE="ci/deps/travis-36-cov.yaml" PATTERN="((not slow and not network) or (single and db))" PANDAS_TESTING_MODE="deprecate" COVERAGE=true
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# In allow_failures
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- dist: trusty

‎README.md

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```
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## Dependencies
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- [NumPy](https://www.numpy.org): 1.12.0 or higher
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- [NumPy](https://www.numpy.org): 1.13.3 or higher
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- [python-dateutil](https://labix.org/python-dateutil): 2.5.0 or higher
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- [pytz](https://pythonhosted.org/pytz): 2015.4 or higher
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‎ci/azure/windows.yml

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vmImage: ${{ parameters.vmImage }}
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strategy:
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matrix:
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py36_np14:
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py36_np15:
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ENV_FILE: ci/deps/azure-windows-36.yaml
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CONDA_PY: "36"
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‎ci/deps/azure-35-compat.yaml

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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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- bottleneck=1.2.0
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- cython=0.28.2
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- hypothesis>=3.58.0
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- beautifulsoup4=4.4.1
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- bottleneck=1.2.1
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- jinja2=2.8
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- numexpr=2.6.1
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- numpy=1.12.0
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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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- pytables=3.4.2
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- python-dateutil=2.5.0
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- python=3.5*
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- python=3.5.*
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- pytz=2015.4
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- scipy=0.18.1
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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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# universal
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- cython=0.28.2
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- hypothesis>=3.58.0
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- pytest-xdist
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- pytest-mock
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- isort

‎ci/deps/azure-36-locale.yaml

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- conda-forge
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dependencies:
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- beautifulsoup4==4.5.1
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- bottleneck=1.2.0
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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=2.0.0
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- numpy=1.12.0
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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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- python-dateutil
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- python-blosc
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- python=3.6
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- python=3.6.*
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- pytz=2016.10
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- scipy
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- sqlalchemy=1.1.4

‎ci/deps/azure-36-locale_slow.yaml

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- ipython
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- jinja2
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- lxml
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- matplotlib
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- matplotlib=3.0.*
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- nomkl
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- numexpr
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- numpy
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- numpy=1.15.*
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- openpyxl
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- pytables
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- python-dateutil
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- python=3.6*
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- python=3.6.*
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- pytz
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- s3fs
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- scipy

‎ci/deps/azure-37-locale.yaml

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- openpyxl
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- pytables
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- python-dateutil
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- python=3.7*
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- python=3.7.*
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- pytz
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- s3fs
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- scipy

‎ci/deps/azure-37-numpydev.yaml

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channels:
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- defaults
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dependencies:
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- python=3.7*
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- python=3.7.*
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- pytz
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- Cython>=0.28.2
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# universal

‎ci/deps/azure-macos-35.yaml

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- html5lib
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- jinja2
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- lxml
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- matplotlib=2.2.0
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- matplotlib=2.2.3
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- nomkl
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- numexpr
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- numpy=1.12.0
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- numpy=1.13.3
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- openpyxl
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- pyarrow
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- pytables
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- python=3.5*
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- python=3.5.*
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- pytz
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- xarray
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- xlrd

‎ci/deps/azure-windows-36.yaml

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- bottleneck
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- boost-cpp<1.67
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- fastparquet>=0.2.1
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- matplotlib
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- matplotlib=3.0.2
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- numexpr
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- numpy=1.14*
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- numpy=1.15.*
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- openpyxl
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- parquet-cpp
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- pyarrow

‎ci/deps/azure-windows-37.yaml

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- html5lib
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- jinja2
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- lxml
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- matplotlib=3.0.1
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- matplotlib=2.2.*
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- numexpr
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- numpy=1.14.*
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- openpyxl

‎ci/deps/travis-36.yaml renamed to ‎ci/deps/travis-36-cov.yaml

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- matplotlib
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- nomkl
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- numexpr
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- numpy
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- numpy=1.15.*
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- openpyxl
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- pandas-gbq
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- psycopg2
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- pyarrow=0.9.0
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- pymysql
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- pytables
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- python-snappy
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- python=3.6.6
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- python=3.6.*
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- pytz
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- s3fs
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- scikit-learn

‎ci/deps/travis-36-doc.yaml

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- pytables
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- python-dateutil
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- python-snappy
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- python=3.6*
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- python=3.6.*
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- pytz
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- scipy
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- seaborn

‎ci/deps/travis-36-locale.yaml

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- conda-forge
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dependencies:
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- beautifulsoup4
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- blosc=1.14.3
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- python-blosc
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- cython>=0.28.2
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- fastparquet=0.2.1
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- gcsfs=0.1.0
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- html5lib
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- ipython
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- jinja2
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- lxml
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- matplotlib
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- lxml=3.7.0
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- matplotlib=3.0.0
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- nomkl
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- numexpr
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- numpy
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- openpyxl
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- psycopg2
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- pandas-gbq=0.8.0
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- psycopg2=2.6.2
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- pymysql=0.7.9
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- pytables
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- python-dateutil
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- python=3.6*
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# cannot go past python=3.6.6 for matplotlib=3.0.0 due to
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# https://github.com/matplotlib/matplotlib/issues/12626
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- python=3.6.6
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- pytz
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- s3fs
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- s3fs=0.0.8
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- scipy
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- sqlalchemy
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- xarray
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- sqlalchemy=1.1.4
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- xarray=0.8.2
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- xlrd
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- xlsxwriter
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- xlwt

‎ci/deps/travis-36-slow.yaml

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- pymysql
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- pytables
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- python-dateutil
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- python=3.6*
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- python=3.6.*
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- pytz
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- s3fs
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- scipy

‎ci/deps/travis-37.yaml

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- conda-forge
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- c3i_test
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dependencies:
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- python=3.7
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- python=3.7.*
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- botocore>=1.11
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- cython>=0.28.2
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- numpy

‎doc/source/install.rst

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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>`__: 1.12.0 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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* `numexpr <https://github.com/pydata/numexpr>`__: for accelerating certain numerical operations.
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``numexpr`` uses multiple cores as well as smart chunking and caching to achieve large speedups.
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If installed, must be Version 2.6.1 or higher.
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If installed, must be Version 2.6.2 or higher.
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* `bottleneck <https://github.com/kwgoodman/bottleneck>`__: for accelerating certain types of ``nan``
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evaluations. ``bottleneck`` uses specialized cython routines to achieve large speedups. If installed,
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must be Version 1.2.0 or higher.
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must be Version 1.2.1 or higher.
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.. note::
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* `Cython <http://www.cython.org>`__: Only necessary to build development
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version. Version 0.28.2 or higher.
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* `SciPy <http://www.scipy.org>`__: miscellaneous statistical functions, Version 0.18.1 or higher
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* `xarray <http://xarray.pydata.org>`__: pandas like handling for > 2 dims. Version 0.7.0 or higher is recommended.
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* `SciPy <http://www.scipy.org>`__: miscellaneous statistical functions, Version 0.19.0 or higher
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* `xarray <http://xarray.pydata.org>`__: pandas like handling for > 2 dims. Version 0.8.2 or higher is recommended.
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* `PyTables <http://www.pytables.org>`__: necessary for HDF5-based storage, Version 3.4.2 or higher
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* `pyarrow <http://arrow.apache.org/docs/python/>`__ (>= 0.9.0): necessary for feather-based storage.
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* `Apache Parquet <https://parquet.apache.org/>`__, either `pyarrow <http://arrow.apache.org/docs/python/>`__ (>= 0.7.0) or `fastparquet <https://fastparquet.readthedocs.io/en/latest>`__ (>= 0.2.1) for parquet-based storage. The `snappy <https://pypi.org/project/python-snappy>`__ and `brotli <https://pypi.org/project/brotlipy>`__ are available for compression support.
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* `Apache Parquet <https://parquet.apache.org/>`__, either `pyarrow <http://arrow.apache.org/docs/python/>`__ (>= 0.9.0) or `fastparquet <https://fastparquet.readthedocs.io/en/latest>`__ (>= 0.2.1) for parquet-based storage. The `snappy <https://pypi.org/project/python-snappy>`__ and `brotli <https://pypi.org/project/brotlipy>`__ are available for compression support.
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* `SQLAlchemy <http://www.sqlalchemy.org>`__: for SQL database support. Version 1.1.4 or higher recommended. Besides SQLAlchemy, you also need a database specific driver. You can find an overview of supported drivers for each SQL dialect in the `SQLAlchemy docs <http://docs.sqlalchemy.org/en/latest/dialects/index.html>`__. Some common drivers are:
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* `psycopg2 <http://initd.org/psycopg/>`__: for PostgreSQL
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* `pymysql <https://github.com/PyMySQL/PyMySQL>`__: for MySQL.
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* `SQLite <https://docs.python.org/3/library/sqlite3.html>`__: for SQLite, this is included in Python's standard library by default.
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* `matplotlib <http://matplotlib.org/>`__: for plotting, Version 2.0.0 or higher.
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* `matplotlib <http://matplotlib.org/>`__: for plotting, Version 2.2.2 or higher.
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* For Excel I/O:
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* `xlrd/xlwt <http://www.python-excel.org/>`__: Excel reading (xlrd), version 1.0.0 or higher required, and writing (xlwt)
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* `openpyxl <https://openpyxl.readthedocs.io/en/stable/>`__: openpyxl version 2.4.0
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for writing .xlsx files (xlrd >= 0.9.0)
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for writing .xlsx files (xlrd >= 1.0.0)
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* `XlsxWriter <https://pypi.org/project/XlsxWriter>`__: Alternative Excel writer
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* `Jinja2 <http://jinja.pocoo.org/>`__: Template engine for conditional HTML formatting.
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* `s3fs <http://s3fs.readthedocs.io/>`__: necessary for Amazon S3 access (s3fs >= 0.0.7).
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* `s3fs <http://s3fs.readthedocs.io/>`__: necessary for Amazon S3 access (s3fs >= 0.0.8).
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* `blosc <https://pypi.org/project/blosc>`__: for msgpack compression using ``blosc``
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* `gcsfs <http://gcsfs.readthedocs.io/>`__: necessary for Google Cloud Storage access (gcsfs >= 0.1.0).
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* One of
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<https://pandas-gbq.readthedocs.io/en/latest/install.html#dependencies>`__:
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* `Backports.lzma <https://pypi.org/project/backports.lzma/>`__: Only for Python 2, for writing to and/or reading from an xz compressed DataFrame in CSV; Python 3 support is built into the standard library.
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* One of the following combinations of libraries is needed to use the
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‎doc/source/whatsnew/v0.25.0.rst

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Increased minimum versions for dependencies
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Due to dropping support for Python 2.7, a number of optional dependencies have updated minimum versions.
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Independently, some minimum supported versions of dependencies were updated (:issue:`23519`, :issue:`24942`).
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Due to dropping support for Python 2.7, a number of optional dependencies have updated minimum versions (issue:`25725`, :issue:`24942`, :issue:`25752`).
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Independently, some minimum supported versions of dependencies were updated (:issue:`23519`, :issue:`25554`).
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If installed, we now require:
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+-----------------+-----------------+----------+
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| Package | Minimum Version | Required |
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+=================+=================+==========+
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| beautifulsoup4 | 4.4.1 | |
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| numpy | 1.13.3 | X |
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+-----------------+-----------------+----------+
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| openpyxl | 2.4.0 | |
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| pytz | 2015.4 | X |
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+-----------------+-----------------+----------+
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| pymysql | 0.7.9 | |
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| bottleneck | 1.2.1 | |
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+-----------------+-----------------+----------+
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| pytz | 2015.4 | |
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+-----------------+-----------------+----------+
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| sqlalchemy | 1.1.4 | |
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+-----------------+-----------------+----------+
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| xlsxwriter | 0.7.7 | |
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+-----------------+-----------------+----------+
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| xlwt | 1.0.0 | |
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| numexpr | 2.6.2 | |
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+-----------------+-----------------+----------+
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| pytest (dev) | 4.0.2 | |
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+-----------------+-----------------+----------+
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For `optional libraries <https://pandas-docs.github.io/pandas-docs-travis/install.html#dependencies>`_ the general recommendation is to use the latest version.
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The following table lists the lowest version per library that is currently being tested throughout the development of pandas.
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Optional libraries below the lowest tested version may still work, but are not considered supported.
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+-----------------+-----------------+
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| Package | Minimum Version |
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+=================+=================+
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| fastparquet | 0.2.1 |
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+-----------------+-----------------+
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| matplotlib | 2.2.2 |
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+-----------------+-----------------+
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| openpyxl | 2.4.0 |
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+-----------------+-----------------+
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| pyarrow | 0.9.0 |
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+-----------------+-----------------+
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| pytables | 3.4.2 |
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+-----------------+-----------------+
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| scipy | 0.19.0 |
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+-----------------+-----------------+
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| sqlalchemy | 1.1.4 |
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+-----------------+-----------------+
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| xarray | 0.8.2 |
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+-----------------+-----------------+
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| xlrd | 1.0.0 |
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+-----------------+-----------------+
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| xlsxwriter | 0.7.7 |
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+-----------------+-----------------+
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| xlwt | 1.0.0 |
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+-----------------+-----------------+
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.. _whatsnew_0250.api.other:
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Other API Changes

‎environment.yml

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- bottleneck>=1.2.1
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- fastparquet>=0.2.1
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- html5lib
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- ipykernel
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- jinja2
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- lxml
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- matplotlib>=2.0.0
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- matplotlib>=2.2.2
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- nbsphinx
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- numexpr>=2.6.8
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- openpyxl

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