Bump up to version v1.0.32

Author: mbaak

CHANGES.rst

@@ -2,6 +2,10 @@
 Release notes
 =============
 
+Version 1.0.32, Sep 2022
+------------------------
+* Support for decimal datetype in pandas and spark.
+
 Version 1.0.31, Aug 2022
 ------------------------
 * fix of spark df timestamp datatype detection (#59)

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: v1.0.31 (Aug 2022).
+Latest Python release: v1.0.32 (Sep 2022).
 
 
 Announcements
@@ -29,7 +29,7 @@ Announcements
 Changes
 -------
 
-See `here <https://github.com/histogrammar/histogrammar-python/blob/master/CHANGES.rst>`_.
+See Changes log `here <https://github.com/histogrammar/histogrammar-python/blob/master/CHANGES.rst>`_.
 
 
 Spark 3.0
@@ -45,6 +45,7 @@ For Spark 2.X compiled against scala 2.11, in the string above simply replace "2
 
 February, 2021
 
+
 Example notebooks
 =================
 

histogrammar/version.py

@@ -3,9 +3,9 @@
 import re
 
 name = "histogrammar"
-__version__ = "1.0.30"
-version = "1.0.30"
-full_version = "1.0.30"
+__version__ = "1.0.32"
+version = "1.0.32"
+full_version = "1.0.32"
 release = True
 
 version_info = tuple(re.split(r"[-\.]", __version__))

setup.py

@@ -22,7 +22,7 @@
 
 MAJOR = 1
 REVISION = 0
-PATCH = 31
+PATCH = 32
 DEV = False
 # NOTE: also update version at: README.rst and update CHANGES.rst