{
  "repodata": {
    "build": "py313hd43f75c_0",
    "build_number": 0,
    "constrains": [
      "geodatasets >=2024.8.0",
      "scikit-learn >=1.3.0",
      "pyright ==1.1.404",
      "pyarrow >=19.0.1",
      "polars >=1.24.0",
      "geopandas >=1.0.0",
      "scikit-misc >=0.5.1",
      "adjusttext >=1.2.0"
    ],
    "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": "9841e5219b037347128d5e5ea3e7754b",
    "name": "plotnine",
    "sha256": "41e3d68dae4deed17c62029dbbf68a7d91af5364223465799e8968487a1ef296",
    "size": 1492384,
    "subdir": "linux-aarch64",
    "timestamp": 1784729970176,
    "version": "0.15.7"
  },
  "s3": "builds/ci/prefect/ePGfoOnJSkS5WIEV8Qrwaw/1784730408/linux-aarch64/plotnine-0.15.7-py313hd43f75c_0.conda",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "1a325505e1e79a7d12f0331b5994b05ff54b1e7c9184ae04bee0508fa9a27b62c7e33e4224a7ed62f51fe82b1f778e49aab530e0c282531b7535cc55b48ab606"
  }
}