如何为部分直方图补丁指定颜色? [英] How can I specify the color for a partial histogram patch?

问题描述

• 我想产生下面的图
  • 请注意，一个条形部分为蓝色，部分为蓝绿色.这就是我要复制的东西

  import pandas as pd
  import seaborn as sns
  import matplotlib.pyplot as plt
  import numpy as np
  from matplotlib.patches import Rectangle
  
  # plt parameters
  plt.rcParams['figure.figsize'] = (10.0, 10.0)
  plt.style.use('seaborn-dark-palette')
  plt.rcParams['axes.grid'] = True
  plt.rcParams["patch.force_edgecolor"] = True
  
  # data
  np.random.seed(365)
  replicates = np.random.normal(0.0011542834124829882, 1.6243483937004772, 10000)
  
  mean_diff = 1.1582360922659518
  
  # plot replicates
  p = sns.distplot(replicates, bins=30, )
  
  # add the vertical line
  plt.vlines(mean_diff, 0, 0.25, color='r', label='mean', colors=clrs)
  
  # add the annotation
  plt.annotate('p-value', xy=(3.5, 0.05), weight='bold', color='teal',
               xytext=(4, 0.15), fontsize=15, arrowprops=dict(arrowstyle="->", color='teal'))
  
  # color bars greater than mean_diff except the partial bar
  for rectangle in p.patches:
      if rectangle.get_x() >= mean_diff:
          rectangle.set_facecolor('teal')
  
  # I tried adding a Rectangle of the following dimensions, but it didn't color the rectangle 
  Rectangle(xy=(mean_diff, 0), width=1.28523-mean_diff, height=0.206371, angle=0).set_facecolor('teal')
  
  # add cosmetics
  plt.legend()
  plt.ylabel('PDF')
  plt.xlabel('PA - OH mean percent replicate vote difference')
  plt.show()
  

  • Rectangle(xy =(0.876747，0)，width = 0.408487，height = 0.206371，angle = 0)是需要部分着色的矩形.
    • Rectangle(xy =(1.28523，0)，width = 0.408487，height = 0.150066，angle = 0)是紧随其后的色块，其颜色为 Teal
    • Rectangle(xy=(0.876747, 0), width=0.408487, height=0.206371, angle=0) is the Rectangle that needs to be partially colored.
      • Rectangle(xy=(1.28523, 0), width=0.408487, height=0.150066, angle=0) is the patch immediately after, which is colored Teal
      • 请注意，从均值开始的部分条形不是 teal

      推荐答案

      import pandas as pd
      import seaborn as sns
      import matplotlib.pyplot as plt
      import numpy as np
      from matplotlib.patches import Rectangle
      
      # plt parameters
      plt.rcParams['figure.figsize'] = (10.0, 10.0)
      plt.style.use('seaborn-dark-palette')
      plt.rcParams['axes.grid'] = True
      plt.rcParams["patch.force_edgecolor"] = True
      
      # data
      np.random.seed(365)
      replicates = np.random.normal(0.0011542834124829882, 1.6243483937004772, 10000)
      
      mean_diff = 1.1582360922659518
      
      # plot replicates
      p = sns.distplot(replicates, bins=30)
      
      # add the vertical line
      plt.vlines(mean_diff, 0, 0.25, color='r', label='mean', colors="r")
      
      # add the annotation
      plt.annotate('p-value', xy=(3.5, 0.05), weight='bold', color='teal',
                   xytext=(4, 0.15), fontsize=15, arrowprops=dict(arrowstyle="->", color='teal'))
      
      # color bars greater than mean_diff except the partial bar
      for rectangle in p.patches:
          if rectangle.get_x() >= mean_diff:
              rectangle.set_facecolor('teal')
      
      # I tried adding a Rectangle of the following dimensions, but it didn't color the rectangle
      width = 1.28523-mean_diff
      plt.bar(x=mean_diff+0.5*width,height=0.206371,width=width,color="#99cccc",edgecolor="#7a7d89")
      plt.show()
      

      这会以匹配的方式添加栏.就像我们之前所说的那样.

      This adds the bar in a matching manner. A bit hacky as we said before.

      这篇关于如何为部分直方图补丁指定颜色?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！