Create Visualization

Create publication-quality charts with Python. Right chart type for any comparison or trend.

charts visualization python matplotlib

When to use

Use when turning query results or a DataFrame into a chart, selecting the right chart type for a trend or comparison, generating a plot for a report or presentation, or needing an interactive chart with hover and zoom. Uses matplotlib, seaborn, or plotly.

Examples

Plot a trend line

Visualize a metric over time

Create a line chart of our monthly MRR over the past 24 months. Mark the point where we changed pricing.

Cohort heatmap

Visualize retention cohort data as a heatmap

Create a retention cohort heatmap from this data. Use a color scale from red (low) to green (high retention).

Interactive chart

Build a chart with hover and zoom using plotly

Create an interactive plotly chart showing revenue by product line and region. Should have filters for time period.