{
  "repodata": {
    "build": "py313hd43f75c_0",
    "build_number": 0,
    "constrains": [
      "pyright ==1.1.404",
      "scikit-learn >=1.3.0",
      "polars >=1.24.0",
      "pyarrow >=19.0.1",
      "adjustText >=1.2.0",
      "scikit-misc >=0.5.1",
      "geopandas >=1.0.0",
      "geodatasets >=2024.8.0"
    ],
    "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": "6ecaaaa06c10ea87f3902aee1bd86d52",
    "name": "plotnine",
    "sha256": "fe5b261f8b8c30a5092b517cbbbf3beedfc4f722507756d5707fd0f6809ffb4d",
    "size": 6422472,
    "subdir": "linux-aarch64",
    "timestamp": 1784728161764,
    "version": "0.15.7"
  },
  "s3": "builds/ci/prefect/SKiscmxWQqeaN_5ItMxJ9A/1784728492/linux-aarch64/plotnine-0.15.7-py313hd43f75c_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "2d0c1396a8c5cdb9639ecaf1dab7ccbe48f01667257d0c3fa5e52a682ff0aac949e6b389a8c21e9a5ff5ea45e6eeb4b30826d0444d409d6311a80a08800e7e06"
  }
}