3.3.4 push

dkundih · Nov 19, 2021 · 00eb272 · 00eb272
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diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -222,4 +222,7 @@ CHANGELOG
 - republish and 3.3.1 ghost overwrite.
 
 3.3.3 (20/11/2021)
-- initial bug fix deployed.
+- initial bug fix deployed.
+
+3.3.4 (20/11/2021)
+- additional bug fixes deployed.
diff --git a/duality/__init__.py b/duality/__init__.py
@@ -7,7 +7,7 @@
 	TOOLKIT
 	-------
 
-	duality.toolkit is a set of data manipulation tools that can be directly accessed from the main module.
+	duality.toolkit is a set of data manipulation tools that can be directly accessed from the main module as duality.function()
 		print(help(duality.toolkit)) in order to see available features.
 
 	MONTECARLO

diff --git a/duality/hub/toolkit.py b/duality/hub/toolkit.py
@@ -3,7 +3,7 @@
 (MODULE FUNCTIONS)
 ------------------
 
-The following functions are available in the duality.hub.toolkit module, but can be directly accessed from the main module as duality.function()
+duality.toolkit is a set of data manipulation tools that can be directly accessed from the main module as duality.function()
 
         .random_value(mean, st_dev, **rounded) - gives a random value of mean and standard deviation inputed, if rounded = 'y', value will be rounded.
 

diff --git a/duality/misc/_meta.py b/duality/misc/_meta.py
@@ -10,7 +10,7 @@
 
 ]
 __license__ = 'Copyright © 2021- David Kundih. All rights reserved. Licensed under the Apache License, Version 2.0 | For more details about the license and terms of use visit the official duality documentation linked at https://github.com/dkundih/duality and https://pypi.org/project/duality'
-__version__ = '3.3.3'
+__version__ = '3.3.4'
 __documentation__ = 'https://github.com/dkundih/duality | https://pypi.org/project/duality'
 __contact__ = '[email protected] | [email protected]'
 __donate__ = 'https://patreon.com/dkundih | https://buymeacoffee.com/dkundih'

diff --git a/duality/objects/montecarlo.py b/duality/objects/montecarlo.py
@@ -12,6 +12,7 @@ class MonteCarlo:
             list_of_values - pandas dataframe of values.
             time_seq - desired time sequence.
             num_sims - desired number of simulation iterations.
+            ref_value_index (default: ref_value_index = 0) - index on which the starting point of the simulation is created.
             return_data (default: return_data = True) - initiates execute() function after data setup.
             log_summary (default: log_summary = False) - event log of executed functions. - DEVELOPER MODE ONLY
         * Requirements: