{
  "repodata": {
    "build": "py313haa95532_0",
    "build_number": 0,
    "constrains": [
      "scikit-learn >=1.3.0",
      "polars >=1.24.0",
      "pyarrow >=19.0.1",
      "pyright ==1.1.404",
      "geopandas >=1.0.0",
      "adjustText >=1.2.0",
      "geodatasets >=2024.8.0",
      "scikit-misc >=0.5.1"
    ],
    "depends": [
      "matplotlib-base >=3.8.0",
      "mizani >=0.14.0,<0.15.dev0",
      "numpy >=1.23.5",
      "pandas >=2.2.0",
      "python >=3.13,<3.14.0a0",
      "python_abi 3.13.* *_cp313",
      "scipy >=1.8.0",
      "statsmodels >=0.14.6"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "afe7ef8ed82c1cb8e651096b96d459fd",
    "name": "plotnine",
    "sha256": "92b582ab9f5036ae644a0be7b439c1fa7a1d42aeaa2ec51fe3e65ca7fa12fc6d",
    "size": 1503753,
    "subdir": "win-64",
    "timestamp": 1784643443621,
    "version": "0.15.7"
  },
  "s3": "builds/ci/prefect/DuIxZY7uSVu_V87Yd2svkA/1784643900/win-64/plotnine-0.15.7-py313haa95532_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "92fef0e1ba3adc4c3058b297a4a11f15d4de413eb69cc3762b99be159403b52e5d3eab1ab6bbab9f3b51bcbff9af9a4a6ccdbd6691d160ffb1930eddb6f9e706"
  }
}