0.3.0 (2020-11-08)

This is a minor version with new features, bug fixes, and documentation improvements.

Note: The output of the launch_main_gui function was changed to a single, dictionary output.

New Features

Validation of user-input in the GUIs now converts the string inputs into the desired
data type during validation, rather than requiring further processing after validation.
Updated all modules for this new change.
Added the ability to use constraints in the data validation function for user-inputs,
allowing user-inputs to be bounded between two values.
Added functions to generate_raw_data.py to create data for pore size analysis (emulating
the output of the ImageJ software when analyzing images), uniaxial tensile tests,
and rheometry.
The plotting GUI now uses "raw_unicode_escape" encoding when saving data to a csv file.
This has no impact on the data after reloading, but it makes any Unicode more readable
in the csv file. The module still uses "utf-8" encoding as the default when loading csv
files, but will fall back to "raw_unicode_escape" in the event "utf-8" encoding errors.

Fixed issue where an additional set of data entry column labels was erroneously created
when using a SummaryCalculation object for summarizing data for a sample.
Fixed issue using sorted() with strings rather than integers when sorting the indices
of datasets to be deleted when using the plotting GUI.
Fixed the naming of the standard error for parameters from peak fitting in the output
Excel file from "standard deviation" to "standard error".

The output of the launch_main_gui function is now a single dictionary. This will allow potential
changes to the output in later versions to not cause breaking changes.
The output of launch_main_gui now includes the ExcelWriter object used when saving to Excel.
This allows access to the Excel file in python after running the launch_main_gui function, in
case further processing is desired.
The peak_fitting_gui module now includes full coverage for the data validation of user-inputs
for all events.

Added DataSource objects to the use_main_gui.py example program for the three new raw data types.
These analyses are more in-depth than the existing DataSource objects, and involve both
CalculationFunction and SummaryFunction objects.
Changed the Changelog to group changes into categories rather than labelling each change with
FEATURE, BUG, etc.