matplotlib 3.5.1

>>> """
==============
Custom Ticker1
==============

The new ticker code was designed to explicitly support user customized
ticking. The documentation of :mod:`matplotlib.ticker` details this
process.  That code defines a lot of preset tickers but was primarily
designed to be user extensible.

In this example a user defined function is used to format the ticks in
millions of dollars on the y axis.
"""
... import matplotlib.pyplot as plt
... 
... money = [1.5e5, 2.5e6, 5.5e6, 2.0e7]
... 
... 
... def millions(x, pos):
...  """The two arguments are the value and tick position."""
...  return '${:1.1f}M'.format(x*1e-6)
... 
... fig, ax = plt.subplots()
... # Use automatic FuncFormatter creation
... ax.yaxis.set_major_formatter(millions)
... ax.bar(['Bill', 'Fred', 'Mary', 'Sue'], money)
... plt.show()
... 
... #############################################################################
... #
... # .. admonition:: References
... #
... # The use of the following functions, methods, classes and modules is shown
... # in this example:
... #
... # - `matplotlib.pyplot.subplots`
... # - `matplotlib.axis.Axis.set_major_formatter`
... # - `matplotlib.ticker.FuncFormatter`
...