Given this dataframe: import pandas as pd df = pd.DataFrame({'Grade':[2,3,4,5], 'start':[0,0,20,10], 'end':[100,90,80,100]}) Grade start end 0 2 0 100 1 3 0 90 2 4 20 80 3 5 10 100 I would like to generate a table with it via plottable library with 2 columns: Grade and a column called "Progress" with bars (though a green arrow would be amazing) that starts at 'start' and ends at 'end' where the x-axis starts at 0 and ends at 100. Both 'start' and 'end should be annotated. Here's an example of what I'm looking for in that column: If "Start" starts beyond 0, then the bar (or arrow) should start at that relativel position on the "x-axis". The annotations should alwasy be on the left and right sides fo the bars (arrows), as in the example above. From the "docs", I did find this example for bar charts: ColumnDefinition( "D", width=1.25, plot_fn=bar, plot_kw={ "cmap": cmap, "plot_bg_bar": True, "annotate": True, "height": 0.5, "lw": 0.5, "formatter": decimal_to_percent, "xlim":[low, high], }, ), ...but I cannot find any reference to control the annotations in terms of labels and positions. I found that I can add "xlim" to the plot_kws but now I need to get start and end from the passed dataframe to determine those values per row. Continue reading...
