Bump up to version v1.0.31

Author: mbaak

CHANGES.rst

@@ -2,6 +2,11 @@
 Release notes
 =============
 
+Version 1.0.31, Aug 2022
+------------------------
+* fix of spark df timestamp datatype detection (#59)
+* fix for invalid bin_edges for SparselyBin histogram (#60)
+
 Version 1.0.30, June 2022
 -------------------------
 * Fix for machine-level rounding error, which can show up on in num_bins() call of Bin histogram.

README.rst

@@ -20,7 +20,7 @@ PyCUDA is available, they can also be filled from Numpy arrays by JIT-compiling
 
 This Python implementation of histogrammar been tested to guarantee compatibility with its Scala implementation.
 
-Latest Python release: v1.0.30 (June 2022).
+Latest Python release: v1.0.31 (Aug 2022).
 
 Announcements
 =============
@@ -156,4 +156,4 @@ License
     :target: https://colab.research.google.com/github/histogrammar/histogrammar-python/blob/master/histogrammar/notebooks/histogrammar_tutorial_advanced.ipynb
 .. |notebook_exercises_colab| image:: https://colab.research.google.com/assets/colab-badge.svg
     :alt: Open in Colab
-    :target: https://colab.research.google.com/github/histogrammar/histogrammar-python/blob/master/histogrammar/notebooks/histogrammar_tutorial_exercises.ipynb
+    :target: https://colab.research.google.com/github/histogrammar/histogrammar-python/blob/master/histogrammar/notebooks/histogrammar_tutorial_exercises.ipynb

setup.py

@@ -22,9 +22,9 @@
 
 MAJOR = 1
 REVISION = 0
-PATCH = 30
+PATCH = 31
 DEV = False
-# NOTE: also update version at: README.rst
+# NOTE: also update version at: README.rst and update CHANGES.rst
 
 with open("requirements.txt") as f:
     REQUIREMENTS = f.read().splitlines()