如何在单个图形中绘制多个seaborn.distplot [英] How to plot multiple seaborn.distplot in a single figure

问题描述

我想在同一个窗口下绘制多个 seaborn distplot，其中每个图都有相同的 x 和 y 网格.我的尝试如下所示，但不起作用.

# 绘制 200 Median Stn 密度曲线的函数.MC-损失def make_density(stat_list,color, layer_num):num_subplots = len(stat_list)ncols = 3nrows =(num_subplots + ncols-1)//ncols无花果，轴= plt.subplots(ncols = ncols，nrows = nrows，figsize =(ncols * 6，nrows * 5))对于我在范围内(len(stat_list)):#绘图格式plt.title('图层' + layer_num)plt.xlabel('中位数Stn.MC-Loss')plt.ylabel('密度')plt.xlim(-0.2,0.05)plt.ylim(0，85)min_ylim, max_ylim = plt.ylim()# 绘制密度图.sns.distplot(stat_list, hist = True, kde = True,kde_kws = {'linewidth':2}，color = color)# `stat_list` 是一个包含 6 个列表的列表#我要绘制直方图和密度图# 在单个窗口中包含在 `stat_list` 中的这 6 个列表中的每一个，# 其中每一行包含 3 个图的直方图和密度#因此，在我的示例中，将有2行3列的图(2 x 3 = 6).stat_list = [[0.3,0.5,0.7,0.3,0.5],[0.2,0.1,0.9,0.7,0.4],[0.9,0.8,0.7,0.6,0.5][0.2,0.6,0.75,0.87,0.91]，[0.2,0.3,0.8,0.9,0.3]，[0.2,0.3,0.8,0.87,0.92]]

如何修改我的函数以在同一窗口下绘制多个 distplot ，其中每个显示图的x和y网格都相同?

谢谢，

PS:除此之外，我希望 6 个 distplots 具有相同的颜色，最好都是绿色.

解决方案

• 最简单的方法是将数据加载到pandas中，然后使用

  sns.FacetGrid 和 sns.distplot

  • .distplot 已弃用

  p = sns.FacetGrid(data=dfl, col='Layer', col_wrap=3, height=5)p.map(sns.distplot, 'Median Stn. MC-Loss', bins=5, kde=True, color='green')p.set(xlim =(0，1.0))

  I want to plot multiple seaborn distplot under a same window, where each plot has the same x and y grid. My attempt is shown below, which does not work.

  # function to plot the density curve of the 200 Median Stn. MC-losses
  def make_density(stat_list,color, layer_num):
  
      num_subplots = len(stat_list)
      ncols = 3
      nrows = (num_subplots + ncols - 1) // ncols
      fig, axes = plt.subplots(ncols=ncols, nrows=nrows, figsize=(ncols * 6, nrows * 5))
      
      for i in range(len(stat_list)):
          
          # Plot formatting
          plt.title('Layer ' + layer_num)
          plt.xlabel('Median Stn. MC-Loss')
          plt.ylabel('Density')
          plt.xlim(-0.2,0.05)
          plt.ylim(0, 85)
          min_ylim, max_ylim = plt.ylim()
      
          # Draw the density plot.
          sns.distplot(stat_list, hist = True, kde = True,
                   kde_kws = {'linewidth': 2}, color=color)
  
  # `stat_list` is a list of 6 lists
  # I want to draw histogram and density plot of 
  # each of these 6 lists contained in `stat_list` in a single window,
  # where each row containing the histograms and densities of the 3 plots
  # so in my example, there would be 2 rows of 3 columns of plots (2 x 3 =6).
  stat_list = [[0.3,0.5,0.7,0.3,0.5],[0.2,0.1,0.9,0.7,0.4],[0.9,0.8,0.7,0.6,0.5]
            [0.2,0.6,0.75,0.87,0.91],[0.2,0.3,0.8,0.9,0.3],[0.2,0.3,0.8,0.87,0.92]]
  

  How can I modify my function to draw multiple distplot under the same window, where the x and y grid for each displayed plot is identical?

  Thank you,

  PS: Aside, I want the 6 distplots to have identical color, preferably green for all of them.

  解决方案

  • The easiest method is to load the data into pandas and then use seaborn.displot.
  • .displot replaces .distplot in seaborn version 0.11.0
    • Technically, what you would have wanted before, is a FacetGrid mapped with distplot.

  import pandas as pd
  import seaborn as sns
  import matplotlib.pyplot as plt
  
  # data
  stat_list = [[0.3,0.5,0.7,0.3,0.5], [0.2,0.1,0.9,0.7,0.4], [0.9,0.8,0.7,0.6,0.5], [0.2,0.6,0.75,0.87,0.91], [0.2,0.3,0.8,0.9,0.3], [0.2,0.3,0.8,0.87,0.92]]
  
  # load the data into pandas and then transpose it for the correct column data
  df = pd.DataFrame(stat_list).T
  
  # name the columns; specify a layer number
  df.columns = ['A', 'B', 'C', 'D', 'E', 'F']
  
  # now stack the data into a long (tidy) format
  dfl = df.stack().reset_index(level=1).rename(columns={'level_1': 'Layer', 0: 'Median Stn. MC-Loss'})
  
  # plot a displot
  g = sns.displot(data=dfl, x='Median Stn. MC-Loss', col='Layer', col_wrap=3, kde=True, color='green')
  g.set_axis_labels(y_var='Density')
  g.set(xlim=(0, 1.0), ylim=(0, 3.0))
  

  sns.FacetGrid and sns.distplot

  • .distplot is deprecated

  p = sns.FacetGrid(data=dfl, col='Layer', col_wrap=3, height=5)
  p.map(sns.distplot, 'Median Stn. MC-Loss', bins=5, kde=True, color='green')
  p.set(xlim=(0, 1.0))
  

  这篇关于如何在单个图形中绘制多个seaborn.distplot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！