bugfix for 0.8.1

docs/Changelog.rst

@@ -5,6 +5,17 @@
 Changelog
 ---------
 
+**Version: 0.8.1 --- Released: 18 Jan 2022**
+''''''''''''''''''''''''''''''''''''''''''''
+
+**Summary of changes**
+
+This is bugfix release to deal with a minor bug.
+
+**Bug Fixes**
+
+-    The histogram plot in Fit_Everything had a bug which caused plotting to fail, as identified by `this issue <https://github.com/MatthewReid854/reliability/issues/27>`_. This is now resolved.
+
 **Version: 0.8.0 --- Released: 09 Jan 2022**
 ''''''''''''''''''''''''''''''''''''''''''''
 

docs/How to donate to the project.rst

@@ -9,6 +9,8 @@ The Python reliability library is free and open source, and it always will be. I
 
 Developing and maintaining this library is all done in my spare time and is a very time consuming process. If you would like to donate as a way of showing your appreciation, you can send a one off donation using `Paypal <https://paypal.me/MatthewReid854?locale.x=en_AU>`_ or a monthly donation by becoming a `GitHub Sponsor <https://github.com/sponsors/MatthewReid854>`_.
 
+If you're wondering why you should pay for something that is already free, GitHub has a `great explaination <https://github.com/sponsors>`_ on the importance of investing in the software that powers your world.
+
 Thank you to the following `reliability` donors for their generous support of open source development :)
 
 - elriaral (GitHub user)

reliability/Fitters.py

@@ -1494,9 +1494,9 @@ def __histogram_plot(self):
             if counter > 10:
                 ls = "--"
             if item == "Weibull_2P":
-                self.__Weibull_2P_params.distribution.CDF(CI=False, linestyle=ls)
+                self.__Weibull_2P_params.distribution.CDF(plot_CI=False, linestyle=ls)
             elif item == "Weibull_3P":
-                self.__Weibull_3P_params.distribution.CDF(CI=False, linestyle=ls)
+                self.__Weibull_3P_params.distribution.CDF(plot_CI=False, linestyle=ls)
             elif item == "Weibull_Mixture":
                 self.__Weibull_Mixture_params.distribution.CDF(
                     linestyle=ls, xmax=xmax * 2
@@ -1506,25 +1506,33 @@ def __histogram_plot(self):
             elif item == "Weibull_DS":
                 self.__Weibull_DS_params.distribution.CDF(linestyle=ls, xmax=xmax * 2)
             elif item == "Gamma_2P":
-                self.__Gamma_2P_params.distribution.CDF(CI=False, linestyle=ls)
+                self.__Gamma_2P_params.distribution.CDF(plot_CI=False, linestyle=ls)
             elif item == "Gamma_3P":
-                self.__Gamma_3P_params.distribution.CDF(CI=False, linestyle=ls)
+                self.__Gamma_3P_params.distribution.CDF(plot_CI=False, linestyle=ls)
             elif item == "Exponential_1P":
-                self.__Exponential_1P_params.distribution.CDF(CI=False, linestyle=ls)
+                self.__Exponential_1P_params.distribution.CDF(
+                    plot_CI=False, linestyle=ls
+                )
             elif item == "Exponential_2P":
-                self.__Exponential_2P_params.distribution.CDF(CI=False, linestyle=ls)
+                self.__Exponential_2P_params.distribution.CDF(
+                    plot_CI=False, linestyle=ls
+                )
             elif item == "Lognormal_2P":
-                self.__Lognormal_2P_params.distribution.CDF(CI=False, linestyle=ls)
+                self.__Lognormal_2P_params.distribution.CDF(plot_CI=False, linestyle=ls)
             elif item == "Lognormal_3P":
-                self.__Lognormal_3P_params.distribution.CDF(CI=False, linestyle=ls)
+                self.__Lognormal_3P_params.distribution.CDF(plot_CI=False, linestyle=ls)
             elif item == "Normal_2P":
-                self.__Normal_2P_params.distribution.CDF(CI=False, linestyle=ls)
+                self.__Normal_2P_params.distribution.CDF(plot_CI=False, linestyle=ls)
             elif item == "Gumbel_2P":
-                self.__Gumbel_2P_params.distribution.CDF(CI=False, linestyle=ls)
+                self.__Gumbel_2P_params.distribution.CDF(plot_CI=False, linestyle=ls)
             elif item == "Loglogistic_2P":
-                self.__Loglogistic_2P_params.distribution.CDF(CI=False, linestyle=ls)
+                self.__Loglogistic_2P_params.distribution.CDF(
+                    plot_CI=False, linestyle=ls
+                )
             elif item == "Loglogistic_3P":
-                self.__Loglogistic_3P_params.distribution.CDF(CI=False, linestyle=ls)
+                self.__Loglogistic_3P_params.distribution.CDF(
+                    plot_CI=False, linestyle=ls
+                )
             elif item == "Beta_2P":
                 self.__Beta_2P_params.distribution.CDF(linestyle=ls)
         plt.xlim(xmin, xmax)

reliability/Utils.py

@@ -7064,6 +7064,11 @@ def distributions_input_checking(
         raise ValueError(
             'CI_type must be "time" or "reliability". Default is "time". Only used if the distribution object was created by Fitters.'
         )
+    if CI is True:
+        CI = 0.95
+    if CI is False:
+        CI = 0.95
+        plot_CI = False
     if type(CI) not in [type(None), float]:
         raise ValueError(
             "CI must be between 0 and 1. Default is 0.95 for 95% confidence interval. Only used if the distribution object was created by Fitters."

reliability/__init__.py

@@ -16,7 +16,7 @@
 from datetime import date
 
 __title__ = 'reliability'
-__version__ = "0.8.0"
+__version__ = "0.8.1"
 __description__ = 'A Python library for reliability engineering'
 __url__ = 'https://reliability.readthedocs.io/en/latest/index.html'
 __author__ = 'Matthew Reid'

setup.py

@@ -7,7 +7,7 @@
 
 setuptools.setup(
     name="reliability",
-    version="0.8.0",
+    version="0.8.1",
     description="Reliability Engineering toolkit for Python",
     author="Matthew Reid",
     author_email="alpha.reliability@gmail.com",