使用工程符号标记刻度线

使用工程格式化程序。

工程格式化示例

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

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