Plotly.Graph_objects.scatter3d

“In this article, we will learn how to create 3-dimensional scatter plots using the graph_objects module. The Plotly graph_objects module is incredible as it allows a great deal of customization and configuration for the figures. However, it does require you to manually set the low-level properties of the figure.”

Let’s dive in and discuss how we can use the scatter3d class to create 3d scatter plots.

Basic Scatter 3D Plot With plotly graph_objects

We will start with a simple example that allows us to create a simple 3d scatter plot using graph_objects.

The sample code is provided below:

The code above will create a simple scatter plot in 3d as specified by the x, y, and z parameters.

An example output figure is as shown:

Keep in mind that it is a rotated figure. By default, Plotly will set the camera view to 1.

3D Scatter Plot Using A DataFrame

We can also use Plotly graph_objects and a DataFrame to create a 3d scatter plot. For example, in the code below, we use the iris() data to create 3d scatter plots based on the available columns.

The resulting figure is as shown:

We can also define the unique color for the markers by customizing the marker property. An example code is shown below:

In this case, we are customizing the marker properties as defined in the dictionary. For example, we set the size of the markers to 8 and the color to the petal_width column in the data frame. We can also customize the color opacity by setting the opacity value between 0 and 1.

The resulting figure is as shown:

You can also specify a custom colorscale as shown:

Output:

Closing

In this article, you have learned how to use the Scatter3d class in the Plotly graph_objects module to create 3d scatter plots of various types. Feel free to explore the docs for more.

Thanks for reading & Happy coding!!