Matplotlib-在线条上方/下方更改线条颜色 [英] Matplotlib - Changing line color above/below hline

问题描述

我有一个线图和 2 条 hlines，它们都使用不同的颜色，我正在用 hline 的颜色填充主线与 hlines 交叉的区域.除此之外，我想在那些区域的主线上使用相同的颜色.简而言之，电流输出:

所需的输出:

以及我目前使用的相关代码:

lower, upper = 20, 80self.indicatorPlot.axhline(lower，color ="red")self.indicatorPlot.axhline(upper，color ="green")self.indicatorPlot.plot(self.chartTimes, self.indicatorData, color="blue")self.indicatorPlot.fill_between(self.chartTimes，self.indicatorData，较低，其中=(self.indicatorData< =较低)，facecolor ="red"，插值= True)self.indicatorPlot.fill_between(self.chartTimes，self.indicatorData，upper，where =(self.indicatorData> = upper)，facecolor ="green"，interpolate = True)

解决方案

原则上你可以把你的情节分成三部分，上面的值upper，下面的值lower 和中间的值.从这个意义上说，这个问题已经被问过和回答过，例如

• I have a line plot and 2 hlines, all using different colors, and I'm filling the areas where the main line crosses the hlines with the color of the hline. In addition to that, I'd like to use the same color for the main line in those areas. In a nutshell, current output:

  Desired output:

  And the relevant code I'm currently using:

  lower, upper = 20, 80
  
  self.indicatorPlot.axhline(lower, color="red")
  self.indicatorPlot.axhline(upper, color="green")
  
  self.indicatorPlot.plot(self.chartTimes, self.indicatorData, color="blue")
  
  self.indicatorPlot.fill_between(self.chartTimes, self.indicatorData, lower, where=(self.indicatorData <= lower), facecolor="red", interpolate=True)
  self.indicatorPlot.fill_between(self.chartTimes, self.indicatorData, upper, where=(self.indicatorData >= upper), facecolor="green", interpolate=True)
  

  解决方案

  In principle you may split up your plot into three parts, the values above upper, the values below lower and the values in the middle. In that sense this question has already been asked and answered, e.g.

  • Python: Is it possible to change line color in a plot if exceeds a specific range?
  • Plot: color all larger than different color

  Those solutions work great if your point density is high enough, such that the lines end up close enough to the threshold line.

  In the case where you have larger gaps they are probably not well suited. I will hence give a solution here, which interpolates the gaps such that the lines end exactly at the threshold line.

  import numpy as np; np.random.seed(43)
  import matplotlib.pyplot as plt
  
  t = np.linspace(0,100,301)
  x = np.cumsum(np.random.randn(len(t)))
  
  lower,upper = 0,8
  
  fig, ax=plt.subplots()
  
  ax.axhline(lower, color="crimson")
  ax.axhline(upper, color="limegreen")
  
  
  def insertzeros(t, x, zero=0):
      ta = []
      positive = (x-zero) > 0
      ti = np.where(np.bitwise_xor(positive[1:], positive[:-1]))[0]
      for i in ti:
          y_ = np.sort(x[i:i+2])
          z_ = t[i:i+2][np.argsort(x[i:i+2])]
          t_ = np.interp(zero, y_, z_)
          ta.append( t_ )
      tnew = np.append( t, np.array(ta) )
      xnew = np.append( x, np.ones(len(ta))*zero )
      xnew = xnew[tnew.argsort()]
      tnew = np.sort(tnew)
      return tnew, xnew
  
  t1,x1 = insertzeros(t,x, zero=lower)
  t1,x1 = insertzeros(t1,x1, zero=upper)
  
  xm = np.copy(x1)
  xm[(x1 < lower) | (x1 > upper)] = np.nan        
  ax.plot(t1,xm, color="C0")
  
  xl = np.copy(x1)
  xl[(x1 > lower)] = np.nan        
  ax.plot(t1,xl, color="crimson")
  #
  xu = np.copy(x1)
  xu[(xu < upper)] = np.nan        
  ax.plot(t1,xu, color="limegreen")
  
  ax.fill_between(t, x, lower, where=(x <= lower), facecolor="crimson", interpolate=True, alpha=0.5)
  ax.fill_between(t, x, upper, where=(x >= upper), facecolor="limegreen", interpolate=True, alpha=0.5)
  
  
  plt.show()
  

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