{
  "repodata": {
    "build": "py313h06a4308_0",
    "build_number": 0,
    "constrains": [
      "scikit-learn >=1.3.0",
      "scikit-misc >=0.5.1",
      "polars >=1.24.0",
      "pyright ==1.1.404",
      "pyarrow >=19.0.1",
      "geodatasets >=2024.8.0",
      "adjustText >=1.2.0",
      "geopandas >=1.0.0"
    ],
    "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": "2fc4d283b228405e2641508719ccbc4a",
    "name": "plotnine",
    "sha256": "b073a87fe17c0fa531f1d5ba6bdb06aca8cd83f6ae63fad722f72c4bfd712456",
    "size": 1502378,
    "subdir": "linux-64",
    "timestamp": 1784642737308,
    "version": "0.15.7"
  },
  "s3": "builds/ci/prefect/N3ket4KlTcyXRHjodEYwJw/1784646042/linux-64/plotnine-0.15.7-py313h06a4308_0.conda",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "2180eb537424b8c7e9e43759f617caf46bbd6d0400d34e61397ca0f6216757845c45823eb2618a175afeb440f9893e80d6e21c40c16d69e7d9e5f80482ad090c"
  }
}