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Diffstat (limited to 'dev-python/seaborn/metadata.xml')
| -rw-r--r-- | dev-python/seaborn/metadata.xml | 35 |
1 files changed, 35 insertions, 0 deletions
diff --git a/dev-python/seaborn/metadata.xml b/dev-python/seaborn/metadata.xml new file mode 100644 index 00000000000..13c0d0709aa --- /dev/null +++ b/dev-python/seaborn/metadata.xml @@ -0,0 +1,35 @@ +<?xml version="1.0" encoding="UTF-8"?> +<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd"> +<pkgmetadata> + <herd>python</herd> + <maintainer> + <email>jlec@gentoo.org</email> + <name>Justin Lecher</name> + </maintainer> + <longdescription lang="en"> +Seaborn is a library for making attractive and informative statistical graphics +in Python. It is built on top of matplotlib and tightly integrated with the +PyData stack, including support for numpy and pandas data structures and +statistical routines from scipy and statsmodels. + +Some of the features that seaborn offers are + +* Several built-in themes that improve on the default matplotlib aesthetics +* Tools for choosing color palettes to make beautiful plots that reveal + patterns in your data +* Functions for visualizing univariate and bivariate distributions or for + comparing them between subsets of data +* Tools that fit and visualize linear regression models for different kinds + of independent and dependent variables +* Functions that visualize matrices of data and use clustering algorithms to + discover structure in those matrices +* A function to plot statistical timeseries data with flexible estimation and + representation of uncertainty around the estimate +* High-level abstractions for structuring grids of plots that let you easily + build complex visualizations +</longdescription> + <upstream> + <remote-id type="pypi">seaborne</remote-id> + <remote-id type="github">mwaskom/seaborn</remote-id> + </upstream> +</pkgmetadata> |