plotly.express provides 30+ functions for creating different types of figures. Several use the Pandas dataframe under the hood. The following is a brief list of functions:
- scatter: ```scatter()```, ```scatter_3d()```, ```scatter_polar()```, ```scatter_geo()```
- line: ```line()```, ```line_3d()```, ```line_polar()```, ```line_geo()```
- ```area()```
- ```bar()```
- ```timeline()```
- ```histogram()```
- ```imshow()```
- ```density_heatmap()```

University of Michigan - Ann Arbor

The plotly.express module contains functions that can create entire figures at once. It is usually imported as px and is a built-in part of the plotly library. Thus to use this module, simply use the code snippet 
```
import plotly.express as px
```

Fundamentals Using Plotly Express

Plotly Documentation

-Sensible Overridable Defaults: px functions allows overriding of defaults, for instance controlling the location of output from the basic renderer to an app or website
-Automatic Figure Labelling: px functions automatically label axes, legends, and colorbars by default. They can also be controlled with the labels argument.
-Automatic Hover Labels: px functions provides automatic hover-labels and gives extra control with the labels argument
-Flexible Input Formats

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