diff options
Diffstat (limited to 'gnu/packages/python-science.scm')
| -rw-r--r-- | gnu/packages/python-science.scm | 46 |
1 files changed, 40 insertions, 6 deletions
diff --git a/gnu/packages/python-science.scm b/gnu/packages/python-science.scm index 8ba3432637..4bb8ac342d 100644 --- a/gnu/packages/python-science.scm +++ b/gnu/packages/python-science.scm @@ -779,6 +779,37 @@ volume computations for simple domains like regular polygons, disks, spheres, cubes, etc.") (license license:gpl3+))) +(define-public python-mpl-scatter-density + (package + (name "python-mpl-scatter-density") + (version "0.7") + (source + (origin + (method url-fetch) + (uri (pypi-uri "mpl-scatter-density" version)) + (sha256 + (base32 "083n4xkwjmxvij9i1xhfnxz8vk39ay0baam4nf0khvcihw47bkna")))) + (build-system pyproject-build-system) + (arguments + (list + ;; See <https://github.com/astrofrog/mpl-scatter-density/issues/42>. + #:test-flags #~(list "-k" "not test_default_dpi"))) + (propagated-inputs + (list python-fast-histogram + python-matplotlib + python-numpy)) + (native-inputs + (list python-pytest + python-pytest-cov + python-pytest-mpl + python-setuptools-scm)) + (home-page "https://github.com/astrofrog/mpl-scatter-density") + (synopsis "Matplotlib helpers to make density scatter plots") + (description + "This package provides functionality to make it easy to make scatter +density maps, both for interactive and non-interactive use.") + (license license:bsd-2))) + (define-public python-pyamg (package (name "python-pyamg") @@ -1551,17 +1582,20 @@ higher scores.") (lambda _ (invoke "python" "setup.py" "build_ext" "--inplace")))))) (propagated-inputs (list python-numpy)) - (native-inputs (list python-hypothesis python-pytest)) + (native-inputs + (list python-hypothesis + python-pytest + python-setuptools-scm)) (home-page "https://github.com/astrofrog/fast-histogram") (synopsis "Fast simple 1D and 2D histograms") (description "The fast-histogram mini-package aims to provide simple and fast -histogram functions for regular bins that don't compromise on performance. It +histogram functions for regular bins that don't compromise on performance. It doesn't do anything complicated - it just implements a simple histogram -algorithm in C and keeps it simple. The aim is to have functions that are fast -but also robust and reliable. The result is a 1D histogram function here that -is 7-15x faster than @code{numpy.histogram}, and a 2D histogram function that -is 20-25x faster than @code{numpy.histogram2d}.") +algorithm in C and keeps it simple. The aim is to have functions that are +fast but also robust and reliable. The result is a 1D histogram function here +that is 7-15x faster than @code{numpy.histogram}, and a 2D histogram function +that is 20-25x faster than @code{numpy.histogram2d}.") (license license:bsd-3))) (define-public python-fastcluster |