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"""
=================================
Manage multiple figures in pyplot
=================================
`matplotlib.pyplot` uses the concept of a *current figure* and *current Axes*.
Figures are identified via a figure number that is passed to `~.pyplot.figure`.
The figure with the given number is set as *current figure*. Additionally, if
no figure with the number exists, a new one is created.
.. note::
We discourage working with multiple figures through the implicit pyplot
interface because managing the *current figure* is cumbersome and
error-prone. Instead, we recommend using the explicit approach and call
methods on Figure and Axes instances. See :ref:`api_interfaces` for an
explanation of the trade-offs between the implicit and explicit interfaces.
"""
import matplotlib.pyplot as plt
import numpy as np
t = np.arange(0.0, 2.0, 0.01)
s1 = np.sin(2*np.pi*t)
s2 = np.sin(4*np.pi*t)
# %%
# Create figure 1
plt.figure(1)
plt.subplot(211)
plt.plot(t, s1)
plt.subplot(212)
plt.plot(t, 2*s1)
# %%
# Create figure 2
plt.figure(2)
plt.plot(t, s2)
# %%
# Now switch back to figure 1 and make some changes
plt.figure(1)
plt.subplot(211)
plt.plot(t, s2, 's')
ax = plt.gca()
ax.set_xticklabels([])
plt.show()
# %%
# .. tags:: component: figure, plot-type: line
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