Using Plotly Express to Create Interactive Scatter Plots

An Example of Creating Interactive Scatter Plots Using Well Log Data

An Example of Creating Interactive Scatter Plots Using Well Log Data

Plotly Express scatter plot of well log data. Image by Author.

Scatter plots allow us to plot two variables from a dataset and compare them. From these plots, we can understand if there is a relationship between the two variables, and what the strength of that relationship is.

Within petrophysics scatter plots, are commonly known as crossplots. They are routinely used as part of the petrophysical interpretation workflow and can be used for a variety of tasks, including:

• clay and shale endpoints identification for our clay or shale volume calculations

• outlier detection

• lithology identification

• hydrocarbon identification

• rock typing

• regression analysis

• and more

Within this short tutorial, we are going to see how to generate scatter plots using a popular Python plotting library called Plotly.

The Plotly Library

Plotly is a web-based toolkit that is used to generate powerful and interactive data visualisations. It is very efficient a…