Make animated bar chart races with matplotlib.

Install with pip install bar_chart_race

Must begin with a pandas DataFrame containing 'wide' data where:

• Every row represents a single period of time
• Each column holds the value for a particular category
• The index contains the time component (optional)

The data below is an example of properly formatted data. It shows total deaths from COVID-19 for the highest 20 countries by date.

There is one main function, bar_chart_race, which we use to recreate the above video. All parameters are shown with their default value except for filename and title.

>>>importbar_chart_raceasbcr>>>df=bcr.load_dataset('covid19') >>>bcr.bar_chart_race( df=df, filename='covid19_horiz_desc.mp4', orientation='h', sort='desc', label_bars=True, use_index=True, steps_per_period=10, period_length=500, figsize=(6.5, 3.5), cmap='dark24', title='COVID-19 Deaths by Country', bar_label_size=7, tick_label_size=7, period_label_size=16, fig=None)

Leave the filename parameter as None to return the animation as HTML. You can subsequently embed the animation into a Jupyter Notebook with the following.

In [1]: bcr_html = bcr.bar_chart_race(df=df, filename=None) In [2]: from IPython.display import HTML In [3]: HTML(bcr_html) 

Make bars vertical by setting orientation to 'v'. Use n_bars if you want to limit the number of bars. The bars will transition on and off the graph.

>>>df=bcr.load_dataset('urban_pop') >>>bcr.bar_chart_race( df=df, filename='videos/urban_vert_asc.gif', orientation='v', sort='asc', n_bars=8, title='Urban Population')