... matplotlib.

For quick plotting, you can't go wrong with matplotlib.


Some chart settings are set outside of the plt.plot call. The example below demonstrates the most common settings.

import numpy as np
import matplotlib.pylab as plt

plt.figure(figsize=(10, 3))

x = np.linspace(0, 1.5, 100)
for i, style in [(1, ':'), (2, '-.'), (3, '--')]:
    y = x ** i
    plt.plot(x, y, label=f"power={i}", linestyle=style, color='gray', linewidth=1)

plt.title("Powers of x")
plt.xlim(0.1, 1.4)
plt.ylim(None, 2.5);

Again, note the semi-colon at the end here.

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