matplotlib 3.5.1

>>> """
=================
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, constrained_layout=True)
... 
... 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, constrained_layout=True)
... 
... 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()
...