Merge pull request #256348 from mbalatsko/init-seasonal

python3Packages.seasonal: init at 0.3.1

pkgs/development/python-modules/seasonal/default.nix

@@ -0,0 +1,63 @@
+{ lib
+, buildPythonPackage
+, fetchFromGitHub
+, setuptools
+, numpy
+, scipy
+, pandas
+, matplotlib
+, pytestCheckHook
+, pythonOlder
+}:
+
+buildPythonPackage rec {
+  pname = "seasonal";
+  version = "0.3.1";
+  pyproject = true;
+
+  disable = pythonOlder "3.6";
+
+  src = fetchFromGitHub {
+    owner = "welch";
+    repo = "seasonal";
+    # There are no tags or releases, but this commit corresponds to the 0.3.1 version
+    # PyPI project contains only a wheel
+    rev = "2a2396014d46283d0c7aff34cde5dafb6c462c58";
+    hash = "sha256-8YedGylH70pI0OyefiS1PG1yc+sg+tchlgcuNvxcNqE=";
+  };
+
+  postPatch = ''
+    substituteInPlace setup.py \
+      --replace 'setup_requires=["pytest-runner"],' ""
+  '';
+
+  nativeBuildInputs = [
+    setuptools
+  ];
+
+  propagatedBuildInputs = [
+    numpy
+    scipy
+  ];
+
+  passthru.optional-dependencies = {
+    csv = [
+      pandas
+    ];
+    plot = [
+      matplotlib
+    ];
+  };
+
+  pythonImportsCheck = [ "seasonal" "seasonal.trend" "seasonal.periodogram" ];
+  nativeCheckInputs = [
+    pytestCheckHook
+  ] ++ lib.flatten (builtins.attrValues passthru.optional-dependencies);
+
+  meta = with lib; {
+    description = "Robustly estimate trend and periodicity in a timeseries";
+    homepage = "https://github.com/welch/seasonal";
+    license = licenses.mit;
+    maintainers = with maintainers; [ mbalatsko ];
+  };
+}

pkgs/top-level/python-packages.nix

@@ -11797,6 +11797,8 @@ self: super: with self; {
     python3 = self.python;
   });
 
+  seasonal = callPackage ../development/python-modules/seasonal { };
+
   seatconnect = callPackage ../development/python-modules/seatconnect { };
 
   seccomp = callPackage ../development/python-modules/seccomp { };