Clean-business-chart

Latest version: v0.2.19

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0.2.7

**Full Changelog**: https://github.com/MarcelW1323/clean_business_chart/compare/v0.2.6...v0.2.7

Added parameter 'figsize' in bar chart with waterfall for optional (manual) sizing of the chart

0.2.6

**Full Changelog**: https://github.com/MarcelW1323/clean_business_chart/compare/v0.2.5...v0.2.6
The bar chart with waterfall is getting more used in live environments. In this release a few minor additions/adjustments:

- added parameter "footnote" and "footnote_size" for use of mentioning the source (or other things you would like to mention).
- changed the values in the pandas DataFrame for column _CBC_Y so that it is a float and not integer because adding floats after integers gives FutureWarnings in higher pandas versions (tested with 2.1.1)

0.2.5

**Full Changelog**: https://github.com/MarcelW1323/clean_business_chart/compare/v0.2.4...v0.2.5

With the implementation of the function "optimize_data" to support decimals=None we don't need to round to fast in the process.
Next the function "convert_number_to_string" has a decimals parameter so we can round just before putting it on the chart.

0.2.4

New parameter **sort_chart** for the barchart with waterfall.

- `sort_chart=True`. This is the default value. Sorting will be descending on the difference between the first base scenario and the first compare scenario.
- `sort_chart=False`. The chart will not be sorted. You can use this when the category-of-interest has a natural order in the way it was provided.

You can see this parameter in action in a Python notebook online on Google Colab here:
https://colab.research.google.com/drive/1WuqWXcW0WWa5DK4_anNRgvYhxUewqdwQ?usp=sharing

0.2.2

New class `BarWithWaterfall`.

More info on how to use BarWithWaterfall in this Python notebook:
https://github.com/MarcelW1323/clean_business_chart/blob/main/Welcome_to_the_BarWithWaterfall_from_Clean_Business_Chart.ipynb

You can use the same Python notebook online on Google Colab here:
https://colab.research.google.com/drive/1HofevzNHv9luQV-BpiGy6acOP1uchO6_?usp=drive_link

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