# This file created by conda-build 3.24.0
# meta.yaml template originally from:
# /feedstock/recipe, last modified Thu Aug 17 16:21:43 2023
# ------------------------------------------------

package:
  name: pandas
  version: 2.0.3
source:
  sha256: c02f372a88e0d17f36d3093a644c73cfc1788e876a7c4bcb4020a77512e2043c
  url: https://github.com/pandas-dev/pandas/releases/download/v2.0.3/pandas-2.0.3.tar.gz
build:
  entry_points:
    - matplotlib = pandas:plotting._matplotlib
  number: '0'
  script:
    - /croot/pandas_1692289311655/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_/bin/python
      -m pip install -vv --no-deps --no-build-isolation --ignore-installed . --global-option="build_ext"
      --global-option="-j1" --no-use-pep517
  string: py311ha02d727_0
requirements:
  build:
    - _libgcc_mutex 0.1 main
    - _openmp_mutex 5.1 1_gnu
    - _sysroot_linux-64_curr_repodata_hack 3 haa98f57_10
    - binutils_impl_linux-64 2.38 h2a08ee3_1
    - binutils_linux-64 2.38.0 hc2dff05_0
    - gcc_impl_linux-64 11.2.0 h1234567_1
    - gcc_linux-64 11.2.0 h5c386dc_0
    - gxx_impl_linux-64 11.2.0 h1234567_1
    - gxx_linux-64 11.2.0 hc2dff05_0
    - kernel-headers_linux-64 3.10.0 h57e8cba_10
    - ld_impl_linux-64 2.38 h1181459_1
    - libgcc-devel_linux-64 11.2.0 h1234567_1
    - libgcc-ng 11.2.0 h1234567_1
    - libgomp 11.2.0 h1234567_1
    - libstdcxx-devel_linux-64 11.2.0 h1234567_1
    - libstdcxx-ng 11.2.0 h1234567_1
    - sysroot_linux-64 2.17 h57e8cba_10
  host:
    - _libgcc_mutex 0.1 main
    - _openmp_mutex 5.1 1_gnu
    - blas 1.0 mkl
    - bzip2 1.0.8 h7b6447c_0
    - ca-certificates 2023.05.30 h06a4308_0
    - cython 0.29.36 py311h5eee18b_0
    - intel-openmp 2023.1.0 hdb19cb5_46305
    - ld_impl_linux-64 2.38 h1181459_1
    - libffi 3.4.4 h6a678d5_0
    - libgcc-ng 11.2.0 h1234567_1
    - libgomp 11.2.0 h1234567_1
    - libstdcxx-ng 11.2.0 h1234567_1
    - libuuid 1.41.5 h5eee18b_0
    - mkl 2023.1.0 h213fc3f_46343
    - mkl-service 2.4.0 py311h5eee18b_1
    - mkl_fft 1.3.6 py311ha02d727_1
    - mkl_random 1.2.2 py311ha02d727_1
    - ncurses 6.4 h6a678d5_0
    - numpy 1.23.5 py311h08b1b3b_1
    - numpy-base 1.23.5 py311hf175353_1
    - openssl 3.0.10 h7f8727e_0
    - pip 23.2.1 py311h06a4308_0
    - python 3.11.4 h955ad1f_0
    - readline 8.2 h5eee18b_0
    - setuptools 68.0.0 py311h06a4308_0
    - sqlite 3.41.2 h5eee18b_0
    - tbb 2021.8.0 hdb19cb5_0
    - tk 8.6.12 h1ccaba5_0
    - tzdata 2023c h04d1e81_0
    - versioneer 0.28 py311h06a4308_0
    - wheel 0.38.4 py311h06a4308_0
    - xz 5.4.2 h5eee18b_0
    - zlib 1.2.13 h5eee18b_0
  run:
    - bottleneck >=1.3.2
    - libgcc-ng >=11.2.0
    - libstdcxx-ng >=11.2.0
    - numexpr >=2.7.3
    - numpy >=1.23.5,<2.0a0
    - python >=3.11,<3.12.0a0
    - python-dateutil >=2.8.2
    - python-tzdata >=2022.1
    - pytz >=2020.1
  run_constrained:
    - beautifulsoup4 >=4.9.3
    - blosc >=1.21.0
    - brotli >=0.7.0
    - fastparquet >=0.6.3
    - fsspec >=2021.7.0
    - gcsfs >=2021.7.0
    - html5lib >=1.1
    - jinja2 >=3.0.0
    - lxml >=4.6.3
    - matplotlib-base >=3.6.1
    - numba >=0.53.1
    - odfpy>=1.4.1
    - openpyxl >=3.0.7
    - pandas-gbq >=0.15.0
    - psycopg2 >=2.8.6
    - pyarrow >=7.0.0
    - pymysql >=1.0.2
    - pyqt >=5.15.1,<6
    - pyreadstat >=1.1.2
    - pytables >=3.6.1
    - python-snappy >=0.6.0
    - pyxlsb >=1.0.8
    - qtpy >=2.2.0
    - s3fs >=2021.08.0
    - scipy >=1.7.1
    - sqlalchemy >=1.4.16
    - tabulate >=0.8.9
    - xarray >=0.21.0
    - xlrd >=2.0.1
    - xlsxwriter >=1.4.3
    - zstandard >=0.15.2
test:
  commands:
    - pip check
    - python -c "import pandas; pandas.test(extra_args=['-m not clipboard and not
      single_cpu and not slow and not network and not db', '-n=2', '-k', 'not (_not_a_real_test)'])"
  requires:
    - hypothesis >=6.46.1
    - pip
    - pytest >=7.3.2
    - pytest-asyncio >=0.17.0
    - pytest-cov
    - pytest-xdist >=2.2.0
about:
  description: '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 the broader goal of becoming the
    most

    powerful and flexible open source data analysis / manipulation tool available
    in any

    language. It is already well on its way towards this goal.

    '
  dev_url: https://github.com/pandas-dev/pandas
  doc_url: https://pandas.pydata.org/pandas-docs/version/2.0.3/index.html
  home: https://pandas.pydata.org
  license: BSD-3-Clause
  license_family: BSD
  license_file: LICENSE
  summary: High-performance, easy-to-use data structures and data analysis tools.
extra:
  copy_test_source_files: true
  final: true
  flow_run_id: 5d6df7b4-2087-408c-8d43-3a92ca61dd01
  recipe-maintainers:
    - TomAugspurger
    - WillAyd
    - jorisvandenbossche
    - jreback
    - msarahan
    - ocefpaf
    - ryanskeith
    - simonjayhawkins
  remote_url: git@github.com:AnacondaRecipes/pandas-feedstock.git
  sha: 920e4b6cc4d1f2e8be1ff343c4bc020459707bae
  skip-lints:
    - has_run_test_and_commands
