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"""
=================
Title positioning
=================
Matplotlib can display plot titles centered, flush with the left side of
a set of Axes, and flush with the right side of a set of Axes.
"""
import matplotlib.pyplot as plt
plt.plot(range(10))
plt.title('Center Title')
plt.title('Left Title', loc='left')
plt.title('Right Title', loc='right')
plt.show()
# %%
# The vertical position is automatically chosen to avoid decorations
# (i.e. labels and ticks) on the topmost x-axis:
fig, axs = plt.subplots(1, 2, layout='constrained')
ax = axs[0]
ax.plot(range(10))
ax.xaxis.set_label_position('top')
ax.set_xlabel('X-label')
ax.set_title('Center Title')
ax = axs[1]
ax.plot(range(10))
ax.xaxis.set_label_position('top')
ax.xaxis.tick_top()
ax.set_xlabel('X-label')
ax.set_title('Center Title')
plt.show()
# %%
# Automatic positioning can be turned off by manually specifying the *y*
# keyword argument for the title or setting :rc:`axes.titley` in the rcParams.
fig, axs = plt.subplots(1, 2, layout='constrained')
ax = axs[0]
ax.plot(range(10))
ax.xaxis.set_label_position('top')
ax.set_xlabel('X-label')
ax.set_title('Manual y', y=1.0, pad=-14)
plt.rcParams['axes.titley'] = 1.0 # y is in axes-relative coordinates.
plt.rcParams['axes.titlepad'] = -14 # pad is in points...
ax = axs[1]
ax.plot(range(10))
ax.set_xlabel('X-label')
ax.set_title('rcParam y')
plt.show()
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