Secondary axis disposed Matplotlib

Original Address

Categories --Matplotlib

Sometimes there may be such a demand, a different range of y-axis of FIG several lines, or is not a unit, additional time may be added a y-axis, labeled on a different scale.

• Look at the effect

  

• Import Support Package

  import matplotlib.pyplot as plt
  import numpy as np
  

• Generate test data

  x = np.arange(0, 10, 0.1)
  y1 = 0.05 * x**2
  y2 = -1 * y1
  

• Generating canvas

  fig, ax1 = plt.subplots()
  

• A common x-axis

  ax2 = ax1.twinx()
  

• Paint

  ax1.set_xlabel('X data')
  # 画基于左轴的曲线
  ax1.plot(x, y1, 'g-')   # green, solid line
  ax1.set_ylabel('Y1 data', color='g')
  # 画基于右轴的曲线
  ax2.plot(x, y2, 'b--') # blue, dashed line
  ax2.set_ylabel('Y2 data', color='b')
  # 出图
  plt.show()
  

  The results showing the text of the first shown in FIG.

• Similarly you can share a y-axis, the x-axis even times

  y = np.arange(0, 10, 0.1)
  x1 = 0.05 * y**2
  x2 = -1 * x1
  
  fig, ax1 = plt.subplots()
  
  ax2 = ax1.twiny()
  
  ax1.set_ylabel('Y data')
  
  ax1.plot(x1, y, 'g-')   # green, solid line
  ax1.set_xlabel('X1 data', color='g')
  
  ax2.plot(x2, y, 'b--') # blue, dashed line
  ax2.set_xlabel('X2 data', color='b')
  
  plt.show()
  

  As shown in FIG.

  

• references

  The main program from the secondary axis , with slight changes