在一个图中组合箱线图 [英] Combining boxplots in one plot

问题描述

我有一个包含两列Q和S的数据集.下面显示了它的一个示例:

I have a dataset with two columns Q and S. The following shows a sample of it:

df = pd.DataFrame(np.array([[1,40], [2, 51], [3, 59], [4, 10], 
[5, 30], [7, 20], [9, 21], [13, 30], [15, 70], [2, 81], [3, 85], 
[4, 67], [9, 120], [2, 481], [12, 51], [16, 120], [8, 9], [14, 15], 
[11, 7], [12, 110], [6, 4], [9, 220], [1, 40], [2, 15], [14, 82], [7, 50]]),columns=['Q', 'S'])

基于"S"列中的值，我定义了三组:

Based on values in column "S" I have defined three groups:

Group_1A = df[(df['S'] >= 0) & (df['S'] <= 3)]
Group_2A = df[(df['S'] >= 4) & (df['S'] <= 8)]
Group_3A = df[(df['S'] >= 9) & (df['S'] <= 16)]

此外，我还为Q"列定义了三个组:

In addition I have also defined three groups for column "Q":

Group_1B = df[(df['Q'] >= 0) & (df['Q'] <= 10)]
Group_2B = df[(df['Q'] >= 11) & (df['Q'] <= 50)]
Group_3B = df[(df['Q'] >= 51) & (df['Q'] <= 481)]

我需要计算出每个组的 S 分布，并且我需要绘制一个包含所有 9 个箱线图的图.

I need to figure out the distribution of S for each group and I need to draw a plot that includes all 9 boxplots.

最终图应如下图所示:

The final plot should be sth like the following image:

我可以绘制每个单独的箱线图，但是我不知道如何在一个图中显示所有箱线图.例如，我可以绘制 Group_1A & 的箱线图.Group_1B使用以下代码:

I can plot each individual boxplot, however I have no idea how can I show all of them in one plot. For example I can plot the boxplot of Group_1A & Group_1B using the following code:

df_B1 = df[df['Q']<=10.0]
df_A1_B1 = df_B1[(df_B1['S'] >= 0) & (df_B1['S'] <= 3)]
fig, ax = plt.subplots()
ax = sns.boxplot(x="S",y="Q", data=df_A1_B1,ax=ax)#,order=order)

但是，这仅提供了我需要的 9 个箱线图中的 1 个.

However, this only gives me 1 out of 9 boxplots that I need.

我想知道是否有人可以帮助我.

I am wondering if anyone can help me.

预先感谢

推荐答案

我刚刚发现我需要使用 matplolib.subplots.

I just found that I need to use matplolib.subplots.

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