diff options
| author | Pierre Langlois <pierre.langlois@gmx.com> | 2020-06-20 20:30:28 +0200 |
|---|---|---|
| committer | Ludovic Courtès <ludo@gnu.org> | 2020-06-22 15:44:14 +0200 |
| commit | 3417a25156946d5cf69dafa283664a09067d9645 (patch) | |
| tree | e8c8dfb3794d2e5356c3b85d94f19f1d8af3b3ea | |
| parent | 7fd33283dff406e1c6de0fd24c3a14cbddc11e49 (diff) | |
gnu: Add python-xarray.
From 27ec21904f769c1e8114f767972d9037e1e9f68a Mon Sep 17 00:00:00 2001
From: Pierre Langlois <pierre.langlois@gmx.com>
Date: Thu, 18 Jun 2020 00:58:02 +0200
Subject: [PATCH 4/5] gnu: Add python-xarray.
* gnu/package/python-science.scm (python-xarray): New variable.
Signed-off-by: Ludovic Courtès <ludo@gnu.org>
| -rw-r--r-- | gnu/packages/python-science.scm | 35 |
1 files changed, 35 insertions, 0 deletions
diff --git a/gnu/packages/python-science.scm b/gnu/packages/python-science.scm index 55fc1be4f9..9348894530 100644 --- a/gnu/packages/python-science.scm +++ b/gnu/packages/python-science.scm @@ -354,3 +354,38 @@ doing practical, real world data analysis in Python.") (("if 'NULL byte' in msg:") "if 'NULL byte' in msg or 'line contains NUL' in msg:")) #t))))))) + +(define-public python-xarray + (package + (name "python-xarray") + (version "0.15.1") + (source (origin + (method url-fetch) + (uri (pypi-uri "xarray" version)) + (sha256 + (base32 + "1yx8j66b7rn10m2l6gmn8yr9cn38pi5cj0x0wwpy4hdnhy6i7qv4")))) + (build-system python-build-system) + (native-inputs + `(("python-setuptools-scm" ,python-setuptools-scm) + ("python-pytest" ,python-pytest))) + (propagated-inputs + `(("python-numpy" ,python-numpy) + ("python-pandas" ,python-pandas))) + (arguments + `(#:phases + (modify-phases %standard-phases + (replace 'check + (lambda _ + (invoke "pytest")))))) + (home-page "https://github.com/pydata/xarray") + (synopsis "N-D labeled arrays and datasets") + (description "Xarray (formerly xray) makes working with labelled +multi-dimensional arrays simple, efficient, and fun! + +Xarray introduces labels in the form of dimensions, coordinates and attributes +on top of raw NumPy-like arrays, which allows for a more intuitive, more +concise, and less error-prone developer experience. The package includes a +large and growing library of domain-agnostic functions for advanced analytics +and visualization with these data structures.") + (license license:asl2.0))) |