如何在单个图形中绘制多个seaborn.distplot

本文介绍了如何在单个图形中绘制多个seaborn.distplot的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！

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))

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FacetGrid