Package: clean-business-chart
Clean Business ChartClean Business Chart is a Python package for IBCS-like charts based on matplotlib. Currently a column chart with waterfall and a barchart with waterfall are supportedFree software: MIT licenseDocumentation:https://github.com/MarcelW1323/clean_business_chart/wiki.FeaturesColumnWithWaterfall, the first chart released with clean-business-chart (version 0.1.0)added support for pandas in version 0.1.1added date column support for pandas DataFrame and added translation of column headers inside the call in version 0.1.2fixed error with FC-scenario when all FC-values were zero in version 0.2.12fixed cosmetic bug with AC-scenario when total equals 0, stacked bar on the right has an element of zero in version 0.2.13BarWithWaterfall, the second chart released in version 0.2.2added support for parameter sort_chart in version 0.2.4added support for parameter footnote in version 0.2.6added support for parameter figsize in version 0.2.7 for optional (manual) sizing of the chartbetter calculation of vertical part of figsize in version 0.2.8 for automatic sizing of the chartadded support for parameter translate_scenario in version 0.2.9 for optional translating the standard scenarios on the output of the chartadded support for parameter scalingvalue in version 0.2.10 for optional visualizing a scaling band. Also better visibility of texts. And added support for parameter figsize to only use x-size in float or integerlater rounding in the process leads to better connection between the waterfall and the total bars in version 0.2.11fixed waterfall pattern-bug so FC-comparison looks different than AC-comparison in version 0.2.14Generalbetter rounding support for values of chart-labels in version 0.2.5Read moreREADME.MD on github:https://github.com/MarcelW1323/clean_business_chart/blob/main/README.mdLinkedIn Group on Clean Business Chart:https://www.linkedin.com/groups/12783685/CreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.2.14 (2024-01-26)Fixed waterfall pattern-bug in bar chart with waterfall0.2.13 (2024-01-26)Fixed cosmetic bug with AC-scenario when total equals zero in column chart with waterfall0.2.12 (2024-01-06)Fixed error with FC-scenario when all FC-values were zero0.2.11 (2023-12-23)Later rounding in the process leads to better connection between the waterfall and the total bars0.2.10 (2023-12-14)Added parameter ‘scalingvalue’ in bar chart with waterfall for optional visualizing a scaling band. Improved chart with better visibility of texts. And added support for parameter ‘figsize’ for providing the x-size0.2.9 (2023-11-26)Added parameter ‘translate_scenario’ in bar chart with waterfall for optional translating the standard scenarios on the output of the chart.0.2.8 (2023-11-18)Better calculation of vertical part of figsize for automatic sizing of the bar chart with waterfall.0.2.7 (2023-11-12)Added parameter ‘figsize’ in bar chart with waterfall for optional (manual) sizing of the chart.0.2.6 (2023-10-29)Added parameter ‘footnote’ and related ‘footnote_size’ in bar chart with waterfall for supporting footnotes for example to mention the source.0.2.5 (2023-10-15)Better rounding support for value labels in charts.0.2.4 (2023-09-26)Added parameter ‘sort_chart’ in bar chart with waterfall for supporting ordinal categories-of-interest.0.2.2 (2023-09-14)Second chart: bar chart with waterfall. Small bug occured on Google Colab, not at local installation. Other solution.0.2.1 (2023-09-12)Second chart: bar chart with waterfall. Small bug occured on Google Colab, not at local installation. Bugfix wasn’t succesfull.0.2.0 (2023-09-12)Second chart: bar chart with waterfall.0.1.2 (2023-04-11)Added date column in pandas DataFrame support in parameter data when calling the column chart with waterfall.Also added translate_headers as a parameter in dictionary-form to rename the columns within the call.0.1.1 (2023-03-29)Added pandas DataFrame support in parameter data when calling the column chart with waterfall.0.1.0 (2023-02-21)First release on PyPI. Column chart with waterfall.