Pandas 3D Set Camera Cords - Python

Pandas is a popular Python library for data manipulation and analysis. It provides powerful tools for working with tabular data and time-series data. One of the lesser-known features of Pandas is its ability to create 3D plots using the plotly package.

In this tutorial, we will learn how to set the camera coordinates for a 3D plot in Pandas.

Prerequisites

Before we begin, make sure you have the following:

• Python 3.x installed on your system
• pandas and plotly packages installed
• Basic understanding of Pandas and 3D plots

Setting Camera Coordinates

When creating a 3D plot in Pandas, you can set the camera coordinates to control the viewing angle of the plot. The camera coordinates consist of three parameters: x, y, and z.

Here's an example code snippet that creates a 3D scatter plot and sets the camera coordinates:

import pandas as pd
import plotly.express as px

# Load sample dataset
df = px.data.iris()

# Create 3D scatter plot
fig = px.scatter_3d(df, x='sepal_length', y='sepal_width', z='petal_width', color='species')

# Set camera coordinates
fig.update_layout(scene_camera=dict(
        eye=dict(x=2.5, y=2.5, z=0.5)
    ))

# Show plot
fig.show()

In this example, we load the iris dataset from plotly and create a 3D scatter plot using the scatter_3d() function. We then set the camera coordinates using the update_layout() function and the scene_camera parameter. The camera is positioned at x=2.5, y=2.5, and z=0.5.

Conclusion

Setting camera coordinates in Pandas can help you control the viewing angle of your 3D plots. This can be useful when you want to highlight certain aspects of your data or when you want to better visualize the data from a different perspective. With Pandas and plotly, it's easy to create impressive 3D visualizations of your data.