summaryrefslogtreecommitdiff
diff options
context:
space:
mode:
authorPierre Langlois <pierre.langlois@gmx.com>2020-06-20 20:30:28 +0200
committerLudovic Courtès <ludo@gnu.org>2020-06-22 15:44:14 +0200
commit3417a25156946d5cf69dafa283664a09067d9645 (patch)
treee8c8dfb3794d2e5356c3b85d94f19f1d8af3b3ea
parent7fd33283dff406e1c6de0fd24c3a14cbddc11e49 (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.scm35
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)))