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‎.github/workflows/stale-pr.yml

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name: "Stale PRs"
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on:
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schedule:
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# * is a special character in YAML so you have to quote this string
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- cron: "0 */6 * * *"
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jobs:
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stale:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/stale@v3
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with:
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repo-token: ${{ secrets.GITHUB_TOKEN }}
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stale-pr-message: "This pull request is stale because it has been open for thirty days with no activity."
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skip-stale-pr-message: true
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stale-pr-label: "Stale"
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exempt-pr-labels: "Needs Review,Blocked,Needs Discussion"
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days-before-stale: 30
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days-before-close: -1
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remove-stale-when-updated: true
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debug-only: true

‎.pre-commit-config.yaml

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- id: black
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language_version: python3
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- repo: https://gitlab.com/pycqa/flake8
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rev: 3.7.7
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rev: 3.8.3
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hooks:
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- id: flake8
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language: python_venv
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- file
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args: [--append-config=flake8/cython-template.cfg]
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- repo: https://github.com/pre-commit/mirrors-isort
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rev: v4.3.21
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rev: v5.2.2
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hooks:
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- id: isort
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language: python_venv

‎.travis.yml

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- arch: arm64
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env:
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- JOB="3.7, arm64" PYTEST_WORKERS=8 ENV_FILE="ci/deps/travis-37-arm64.yaml" PATTERN="(not slow and not network and not clipboard)"
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- JOB="3.7, arm64" PYTEST_WORKERS=8 ENV_FILE="ci/deps/travis-37-arm64.yaml" PATTERN="(not slow and not network and not clipboard and not arm_slow)"
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- env:
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- JOB="3.7, locale" ENV_FILE="ci/deps/travis-37-locale.yaml" PATTERN="((not slow and not network and not clipboard) or (single and db))" LOCALE_OVERRIDE="zh_CN.UTF-8" SQL="1"
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services:
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- mysql
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- postgresql
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allow_failures:
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- arch: arm64
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env:
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- JOB="3.7, arm64" PYTEST_WORKERS=8 ENV_FILE="ci/deps/travis-37-arm64.yaml" PATTERN="(not slow and not network and not clipboard)"
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- dist: bionic
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env:
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- JOB="3.9-dev" PATTERN="(not slow and not network and not clipboard)"
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before_install:

‎asv_bench/asv.conf.json

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// followed by the pip installed packages).
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"matrix": {
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"numpy": [],
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"Cython": ["0.29.16"],
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"Cython": ["0.29.21"],
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"matplotlib": [],
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"sqlalchemy": [],
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"scipy": [],

‎ci/build39.sh

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sudo apt-get install build-essential gcc xvfb
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pip install --no-deps -U pip wheel setuptools
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pip install numpy python-dateutil pytz pytest pytest-xdist hypothesis
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pip install cython --pre # https://github.com/cython/cython/issues/3395
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pip install cython numpy python-dateutil pytz pytest pytest-xdist hypothesis
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python setup.py build_ext -inplace
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python -m pip install --no-build-isolation -e .

‎ci/deps/azure-37-32bit.yaml

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# see comment above
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- pip
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- pip:
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- cython>=0.29.16
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- cython>=0.29.21
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- numpy>=1.16.5
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- pytest>=5.0.1

‎ci/deps/azure-37-locale.yaml

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- python=3.7.*
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# tools
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- cython>=0.29.16
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- cython>=0.29.21
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- pytest>=5.0.1
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- pytest-xdist>=1.21
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- pytest-asyncio

‎ci/deps/azure-37-locale_slow.yaml

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- python=3.7.*
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# tools
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- cython>=0.29.16
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- cython>=0.29.21
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- pytest>=5.0.1
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- pytest-xdist>=1.21
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- hypothesis>=3.58.0

‎ci/deps/azure-37-minimum_versions.yaml

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- python=3.7.1
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# tools
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- cython=0.29.16
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- cython=0.29.21
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- pytest=5.0.1
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- pytest-xdist>=1.21
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- hypothesis>=3.58.0

‎ci/deps/azure-37-slow.yaml

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- python=3.7.*
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# tools
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- cython>=0.29.16
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- cython>=0.29.21
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- pytest>=5.0.1
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- pytest-xdist>=1.21
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- hypothesis>=3.58.0

‎ci/deps/azure-38-locale.yaml

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- python=3.8.*
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# tools
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- cython>=0.29.16
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- cython>=0.29.21
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- pytest>=5.0.1
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- pytest-xdist>=1.21
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- pytest-asyncio>=0.12.0

‎ci/deps/azure-38-numpydev.yaml

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- pytz
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- pip
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- pip:
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- cython==0.29.16 # GH#34014
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- cython==0.29.21 # GH#34014
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- "git+git://github.com/dateutil/dateutil.git"
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- "--extra-index-url https://pypi.anaconda.org/scipy-wheels-nightly/simple"
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- "--pre"

‎ci/deps/azure-macos-37.yaml

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- xlwt
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- pip
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- pip:
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- cython>=0.29.16
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- cython>=0.29.21
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- pyreadstat
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- pyxlsb

‎ci/deps/azure-windows-37.yaml

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- python=3.7.*
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# tools
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- cython>=0.29.16
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- cython>=0.29.21
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- pytest>=5.0.1
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- pytest-xdist>=1.21
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- hypothesis>=3.58.0

‎ci/deps/azure-windows-38.yaml

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- python=3.8.*
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# tools
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- cython>=0.29.16
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- cython>=0.29.21
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- pytest>=5.0.1
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- pytest-xdist>=1.21
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- hypothesis>=3.58.0

‎ci/deps/travis-37-arm64.yaml

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name: pandas-dev
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channels:
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- defaults
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- conda-forge
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dependencies:
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- python=3.7.*
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# tools
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- cython>=0.29.13
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- cython>=0.29.21
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- pytest>=5.0.1
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- pytest-xdist>=1.21
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- hypothesis>=3.58.0

‎ci/deps/travis-37-cov.yaml

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name: pandas-dev
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channels:
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- defaults
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- conda-forge
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dependencies:
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# tools
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- cython>=0.29.16
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- cython>=0.29.21
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- pytest>=5.0.1
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- pytest-xdist>=1.21
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- hypothesis>=3.58.0
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# pandas dependencies
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- beautifulsoup4
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- botocore>=1.11
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- cython>=0.29.16
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- dask
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- fastparquet>=0.3.2
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- fsspec>=0.7.4
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- odfpy
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- openpyxl
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- pandas-gbq
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- google-cloud-bigquery>=1.27.2 # GH 36436
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- psycopg2
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- pyarrow>=0.15.0
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- pymysql
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- pymysql=0.7.11
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- pytables
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- python-snappy
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- python-dateutil
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- pytz
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- s3fs>=0.4.0
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- scikit-learn
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- scipy
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- sqlalchemy
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- sqlalchemy=1.3.0
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- statsmodels
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- xarray
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- xlrd
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- brotlipy
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- coverage
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- pandas-datareader
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- python-dateutil
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- pyxlsb

‎ci/deps/travis-37-locale.yaml

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- python=3.7.*
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# tools
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- cython>=0.29.16
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- cython>=0.29.21
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- pytest>=5.0.1
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- pytest-xdist>=1.21
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- hypothesis>=3.58.0
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- numexpr
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- numpy
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- openpyxl
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- pandas-gbq=0.12.0
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- pandas-gbq
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- google-cloud-bigquery>=1.27.2 # GH 36436
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- pyarrow>=0.17
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- psycopg2=2.7
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- pyarrow>=0.15.0 # GH #35813
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- pymysql=0.7.11
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- pytables
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- python-dateutil

‎ci/deps/travis-37.yaml

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- cython>=0.29.16
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- cython>=0.29.21
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- pytest>=5.0.1
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- pytest-xdist>=1.21
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- hypothesis>=3.58.0

‎ci/deps/travis-38.yaml

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- cython>=0.29.16
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- cython>=0.29.21
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- pytest>=5.0.1
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- pytest-xdist>=1.21
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- hypothesis>=3.58.0

‎ci/setup_env.sh

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if [ "${TRAVIS_CPU_ARCH}" == "arm64" ]; then
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sudo apt-get update
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CONDA_URL="https://github.com/conda-forge/miniforge/releases/download/4.8.2-1/Miniforge3-4.8.2-1-Linux-aarch64.sh"
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CONDA_URL="https://github.com/conda-forge/miniforge/releases/download/4.8.5-0/Miniforge3-4.8.5-0-Linux-aarch64.sh"
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CONDA_URL="https://repo.continuum.io/miniconda/Miniconda3-latest-$CONDA_OS.sh"
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‎doc/make.py

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argparser.add_argument(
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"command", nargs="?", default="html", help=f"command to run: {joined}"
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)
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argparser.add_argument(
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"--num-jobs", type=int, default=0, help="number of jobs used by sphinx-build"

‎doc/source/development/extending.rst

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Extension types
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---------------
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.. versionadded:: 0.23.0
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.. warning::
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The :class:`pandas.api.extensions.ExtensionDtype` and :class:`pandas.api.extensions.ExtensionArray` APIs are new and

‎doc/source/ecosystem.rst

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fredapi makes use of pandas and returns data in a Series or DataFrame. This module requires a FRED API key that
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you can obtain for free on the FRED website.
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`dataframe_sql <https://github.com/zbrookle/dataframe_sql>`__
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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``dataframe_sql`` is a Python package that translates SQL syntax directly into
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operations on pandas DataFrames. This is useful when migrating from a database to
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using pandas or for users more comfortable with SQL looking for a way to interface
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with pandas.
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.. _ecosystem.domain:
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‎doc/source/getting_started/install.rst

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Python version support
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----------------------
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Officially Python 3.7.1 and above, and 3.8.
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Officially Python 3.7.1 and above, 3.8, and 3.9.
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Installing pandas
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-----------------
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One of the following combinations of libraries is needed to use the
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top-level :func:`~pandas.read_html` function:
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.. versionchanged:: 0.23.0
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* `BeautifulSoup4`_ and `html5lib`_
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* `BeautifulSoup4`_ and `lxml`_
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* `BeautifulSoup4`_ and `html5lib`_ and `lxml`_

‎doc/source/user_guide/advanced.rst

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pd.interval_range(start=0, end=4, closed='neither')
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Specifying ``start``, ``end``, and ``periods`` will generate a range of evenly spaced
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in the resulting ``IntervalIndex``:

‎doc/source/user_guide/basics.rst

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By indexes and values
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~~~~~~~~~~~~~~~~~~~~~
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Strings passed as the ``by`` parameter to :meth:`DataFrame.sort_values` may
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‎doc/source/user_guide/categorical.rst

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df['B']
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Analogously, all columns in an existing ``DataFrame`` can be batch converted using :meth:`DataFrame.astype`:
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.. ipython:: python

‎doc/source/user_guide/computation.rst

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The API for window statistics is quite similar to the way one works with ``GroupBy`` objects, see the documentation :ref:`here <groupby>`.
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.. warning::
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When using ``rolling()`` and an associated function the results are calculated with rolling sums. As a consequence
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when having values differing with magnitude :math:`1/np.finfo(np.double).eps` this results in truncation. It must be
236+
noted, that large values may have an impact on windows, which do not include these values. `Kahan summation
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<https://en.wikipedia.org/wiki/Kahan_summation_algorithm>`__ is used
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to compute the rolling sums to preserve accuracy as much as possible. The same holds true for ``Rolling.var()`` for
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values differing with magnitude :math:`(1/np.finfo(np.double).eps)^{0.5}`.
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We work with ``rolling``, ``expanding`` and ``exponentially weighted`` data through the corresponding
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‎doc/source/user_guide/dsintro.rst

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of one argument to be called on the ``DataFrame``. A *copy* of the original
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DataFrame is returned, with the new values inserted.
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.. versionchanged:: 0.23.0
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Starting with Python 3.6 the order of ``**kwargs`` is preserved. This allows
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to a column created earlier in the same :meth:`~DataFrame.assign`.

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