Intro to plotly - Basic Plots with Plotly Express

Ha Khanh Nguyen (hknguyen)

• 0. Install the Library
• 1. Scatterplot
  • 1.1 Setting size and color using columns of the DataFrame
  • 1.2 Setting Plot Elements
• 2. Line plot
• 3. Bar chart
• 4. Histogram
  • 4.1 Choosing the number of bins
  • 4.2 Layer histograms
• 5. Boxplot
• 6. 3D Scatterplot

• Plotly Express is the easy-to-use, high-level interface to Plotly, which operates on a variety of types of data and produces easy-to-style figures.

0. Install the Library

• Run the following code in your command-line prompt:

conda install plotly

• Depending on how you installed Python, you might need to try the following code instead (if the previous one doesn't work):

pip install plotly

1. Scatterplot

• With px.scatter(), each data point is represented as a marker point, whose location is given by the x and y columns.

import plotly.express as px

fig = px.scatter(x=[0, 1, 2, 3, 4], y=[0, 1, 4, 9, 16])
fig.show()