Try it yourself

Run this code directly in your browser. Click "Open in full editor" to experiment further.

Loading...

Click Run to see output

Or press Ctrl + Enter

How it works

This example creates a side-by-side figure with two subplots — a sine wave and a cosine wave — using Matplotlib and NumPy together.

np.linspace(0, 2*np.pi, 200) — generates 200 evenly spaced x values from 0 to 2π

plt.subplots(1, 2) — creates a figure with 1 row and 2 columns of axes

ax.plot(x, y) — draws a line chart on each axis

plt.tight_layout() — automatically adjusts spacing between subplots

plt.savefig(...) — saves the figure as a PNG image

plt.show() — renders the chart inline in the output panel

Operation	Code
Line chart	`plt.plot(x, y)`
Multiple plots	`fig, axes = plt.subplots(rows, cols)`
Labels	`ax.set_title()`, `ax.set_xlabel()`
Grid	`ax.grid(True)`
Save	`plt.savefig('file.png')`

Matplotlib, NumPy, and pandas are all pre-loaded in PythonHere — no installation required.

Run pandas DataFrames online with no install and no signup. Free in-browser Python pandas compiler with NumPy and Matplotlib pre-loaded.

Run NumPy arrays and matrix operations online with no install and no signup. Free in-browser NumPy compiler with pandas and Matplotlib pre-loaded.