Chris Halpert

Documentation build is failing

3

https://readthedocs.org/projects/chartify/builds/

PNG output is fuzzy

2

PNGs don't look as good as SVG or HTML output. PNG:  HTML: 

Source label breaks when y_axis_type='categorical' and long axis tick labels

1

import chartify # Generate example data data = chartify.examples.example_data() quantity_by_fruit = (data.groupby('fruit')['quantity'].sum().reset_index()) print(quantity_by_fruit.head()) quantity_by_fruit.iloc[0,0] = 'AAAAAAAAAAAAAAAAAAAA' ch = chartify.Chart(False, y_axis_type='categorical') ch.set_title("Vertical bar plot") ch.plot.bar( data_frame=quantity_by_fruit, categorical_columns='fruit', numeric_column='quantity') ch.show()

Investigate how to create dashboards with Chartify. Perhaps with https://medium.com/@philipp.jfr/panel-announcement-2107c2b15f52

Allow users to specify a color column for interval plots to make it easier to plot intervals on top of lines of different colors

Allow users to plot data from a pivoted format. Applies to: - line graph - scatter plot - heatmap #9

Currently only accepts lists. Thanks for finding Dominic Fitzgerald!

Null values automatically get cast to zero. It would be good to give users the ability to drop them. Thanks galmeida!