adding PePy downloads badges

ejhigson · May 3, 2020 · 91034f0 · 91034f0
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diff --git a/README.rst b/README.rst
@@ -15,6 +15,10 @@ dyPolyChord
    :alt: Maintainability
 .. image:: https://img.shields.io/badge/license-MIT-blue.svg
    :target: https://github.com/ejhigson/dyPolyChord/blob/master/LICENSE
+.. image:: https://pepy.tech/badge/dyPolyChord
+   :target: https://pepy.tech/project/dyPolyChord
+.. image:: https://pepy.tech/badge/dyPolyChord/week
+   :target: https://pepy.tech/project/dyPolyChord/week
 
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 Read the documentation at `http://dyPolyChord.readthedocs.io <http://dyPolyChord.readthedocs.io>`_.

diff --git a/docs/index.rst b/docs/index.rst
@@ -15,6 +15,10 @@ dyPolyChord
    :alt: Maintainability
 .. image:: https://img.shields.io/badge/license-MIT-blue.svg
    :target: https://github.com/ejhigson/dyPolyChord/blob/master/LICENSE
+.. image:: https://pepy.tech/badge/dyPolyChord
+   :target: https://pepy.tech/project/dyPolyChord
+.. image:: https://pepy.tech/badge/dyPolyChord/week
+   :target: https://pepy.tech/project/dyPolyChord/week
 
 Nested sampling is a numerical method for Bayesian computation which simultaneously calculates posterior samples and an estimate of the Bayesian evidence for a given likelihood and prior.
 The approach is popular in scientific research, and performs well compared to Markov chain Monte Carlo (MCMC)-based sampling for multi-modal or degenerate posterior distributions.