In this tutorial I take a look at distribution plots in Plotly. They actually combine three plots into one. The first being a normal histogram, in which we can state the bin size.
The second is a kernel density estimate that can be changed into a normal curve. The last is a rug plot, which shows each data point value on the x-axis.
Jupyter notebook files are available on Github: https://github.com/juanklopper/Plotly-for-python
