>>> """
=========================================
Labeling ticks using engineering notation
=========================================

Use of the engineering Formatter.
"""
... 
... import matplotlib.pyplot as plt
... import numpy as np
... 
... from matplotlib.ticker import EngFormatter
... 
... # Fixing random state for reproducibility
... prng = np.random.RandomState(19680801)
... 
... # Create artificial data to plot.
... # The x data span over several decades to demonstrate several SI prefixes.
... xs = np.logspace(1, 9, 100)
... ys = (0.8 + 0.4 * prng.uniform(size=100)) * np.log10(xs)**2
... 
... # Figure width is doubled (2*6.4) to display nicely 2 subplots side by side.
... fig, (ax0, ax1) = plt.subplots(nrows=2, figsize=(7, 9.6))
... for ax in (ax0, ax1):
...     ax.set_xscale('log')
... 
... # Demo of the default settings, with a user-defined unit label.
... ax0.set_title('Full unit ticklabels, w/ default precision & space separator')
... formatter0 = EngFormatter(unit='Hz')
... ax0.xaxis.set_major_formatter(formatter0)
... ax0.plot(xs, ys)
... ax0.set_xlabel('Frequency')
... 
... # Demo of the options `places` (number of digit after decimal point) and
... # `sep` (separator between the number and the prefix/unit).
... ax1.set_title('SI-prefix only ticklabels, 1-digit precision & '
...               'thin space separator')
... formatter1 = EngFormatter(places=1, sep="\N{THIN SPACE}")  # U+2009
... ax1.xaxis.set_major_formatter(formatter1)
... ax1.plot(xs, ys)
... ax1.set_xlabel('Frequency [Hz]')
... 
... plt.tight_layout()
... plt.show()
...