Making it easier to visualize and costumize time relevant or time series data with plotly interaction.
New to the library? Read this Medium article.
This plot is a very similar to the contribuitions available on Github and Gitlab profile pages and to Calplot - which is a pyplot implementation of the calendar heatmap, thus it is not interactive right off the bat.
The first mention I could find of this plot being made with plotly was in this forum post and it got my attention as something that should be easily available to anyone.
pip install plotly-calplotIn this Medium article I covered lot's of usage methods for this library.
from plotly_calplot import calplot
fig = calplot(df, x="date", y="value")
fig.show()
# you can also adjust layout and your usual plotly stuff