matplotlib:
meta
For quick plotting, you can't go wrong with matplotlib.
Notes
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.legend()
plt.title("Powers of x")
plt.xlabel("x")
plt.ylabel("f(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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