# This file created by conda-build 3.24.0
# meta.yaml template originally from:
# /feedstock/recipe, last modified Mon Dec 11 18:06:18 2023
# ------------------------------------------------

package:
  name: pandas
  version: 2.1.4
source:
  sha256: fcb68203c833cc735321512e13861358079a96c174a61f5116a1de89c58c0ef7
  url: https://pypi.io/packages/source/p/pandas/pandas-2.1.4.tar.gz
build:
  entry_points:
    - matplotlib = pandas:plotting._matplotlib
  number: '0'
  string: py312h526ad5a_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 2023.08.22 h06a4308_0
    - cython 0.29.36 py312h5eee18b_0
    - expat 2.5.0 h6a678d5_0
    - intel-openmp 2023.1.0 hdb19cb5_46306
    - 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
    - meson 1.2.1 py312h06a4308_0
    - meson-python 0.13.1 py312h5eee18b_0
    - mkl 2023.1.0 h213fc3f_46344
    - mkl-service 2.4.0 py312h5eee18b_1
    - mkl_fft 1.3.8 py312h5eee18b_0
    - mkl_random 1.2.4 py312hdb19cb5_0
    - ncurses 6.4 h6a678d5_0
    - ninja 1.10.2 h06a4308_5
    - ninja-base 1.10.2 hd09550d_5
    - numpy 1.26.2 py312hc5e2394_0
    - numpy-base 1.26.2 py312h0da6c21_0
    - openssl 3.0.12 h7f8727e_0
    - packaging 23.1 py312h06a4308_0
    - pip 23.3.1 py312h06a4308_0
    - pyproject-metadata 0.7.1 py312h06a4308_0
    - pyproject_hooks 1.0.0 py312h06a4308_0
    - python 3.12.0 h996f2a0_0
    - python-build 0.10.0 py312h06a4308_0
    - readline 8.2 h5eee18b_0
    - setuptools 68.0.0 py312h06a4308_0
    - sqlite 3.41.2 h5eee18b_0
    - tbb 2021.8.0 hdb19cb5_0
    - tk 8.6.12 h1ccaba5_0
    - tomli 2.0.1 py312h06a4308_1
    - tzdata 2023c h04d1e81_0
    - versioneer 0.28 py312h06a4308_0
    - wheel 0.41.2 py312h06a4308_0
    - xz 5.4.5 h5eee18b_0
    - zlib 1.2.13 h5eee18b_0
  run:
    - bottleneck >=1.3.4
    - libgcc-ng >=11.2.0
    - libstdcxx-ng >=11.2.0
    - numexpr >=2.8.0
    - numpy >=1.26.2,<2.0a0
    - python >=3.12,<3.13.0a0
    - python-dateutil >=2.8.2
    - python-tzdata >=2022.1
    - pytz >=2020.1
  run_constrained:
    - beautifulsoup4 >=4.11.1
    - blosc >=1.21.0
    - dataframe-api-compat >=0.1.7
    - fastparquet >=0.8.1
    - fsspec >=2022.05.0
    - gcsfs >=2022.05.0
    - html5lib >=1.1
    - jinja2 >=3.1.2
    - lxml >=4.8.0
    - matplotlib-base >=3.6.1
    - numba >=0.55.2
    - odfpy>=1.4.1
    - openpyxl >=3.0.10
    - pandas-gbq >=0.17.5
    - psycopg2 >=2.9.3
    - pyarrow >=7.0.0
    - pymysql >=1.0.2
    - pyqt >=5.15.6,<6
    - pyreadstat >=1.1.5
    - pytables >=3.7.0
    - pyxlsb >=1.0.9
    - qtpy >=2.2.0
    - s3fs >=2022.05.0
    - scipy >=1.8.1
    - sqlalchemy >=1.4.36
    - tabulate >=0.8.10
    - xarray >=2022.03.0
    - xlrd >=2.0.1
    - xlsxwriter >=3.0.3
    - zstandard >=0.17.0
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
      or test_floordiv_axis0_numexpr_path[python-pow] or test_scalar_unary)', '--no-strict-data-files'])"
  requires:
    - hypothesis >=6.46.1
    - pip
    - pytest >=7.3.2
    - pytest-asyncio >=0.17.0
    - 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/2.1.4/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: 616d98a3-b57e-4d82-aa40-0983436e65de
  recipe-maintainers:
    - TomAugspurger
    - WillAyd
    - jorisvandenbossche
    - jreback
    - msarahan
    - ocefpaf
    - ryanskeith
    - simonjayhawkins
  remote_url: git@github.com:AnacondaRecipes/pandas-feedstock.git
  sha: 48ec9b6e46d9b60e2ff20182ff88b66148321c9c
  skip-lints:
    - has_run_test_and_commands
