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将 y 轴 label 添加到山脊线 plot 和 seaborn

[英]Add y-axis label to ridgeline plot with seaborn

I want to add a y-axis label to a density ridgeline plot using seaborn in python.我想使用 seaborn 在 Z236EEEB4347BDD755AB To make the ridgeline plot, I am following the code from the seaborn gallery .为了制作山脊线 plot,我遵循seaborn 库中的代码。 For convenience, I have copied their code snippet below.为方便起见,我在下面复制了他们的代码片段。 How should I modify this to label the y-axis in a manner that does not overlap the density curves?我应该如何以不与密度曲线重叠的方式将其修改为 y 轴 label?

import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
sns.set(style="white", rc={"axes.facecolor": (0, 0, 0, 0)})

# Create the data
rs = np.random.RandomState(1979)
x = rs.randn(500)
g = np.tile(list("ABCDEFGHIJ"), 50)
df = pd.DataFrame(dict(x=x, g=g))
m = df.g.map(ord)
df["x"] += m

# Initialize the FacetGrid object
pal = sns.cubehelix_palette(10, rot=-.25, light=.7)
g = sns.FacetGrid(df, row="g", hue="g", aspect=15, height=.5, palette=pal)

# Draw the densities in a few steps
g.map(sns.kdeplot, "x", clip_on=False, shade=True, alpha=1, lw=1.5, bw=.2)
g.map(sns.kdeplot, "x", clip_on=False, color="w", lw=2, bw=.2)
g.map(plt.axhline, y=0, lw=2, clip_on=False)


# Define and use a simple function to label the plot in axes coordinates
def label(x, color, label):
    ax = plt.gca()
    ax.text(0, .2, label, fontweight="bold", color=color,
            ha="left", va="center", transform=ax.transAxes)


g.map(label, "x")

# Set the subplots to overlap
g.fig.subplots_adjust(hspace=-.25)

# Remove axes details that don't play well with overlap
g.set_titles("")
g.set(yticks=[])
g.despine(bottom=True, left=True)

To be clear, I'd like the plot to look something like:需要明确的是,我希望 plot 看起来像: 想要的情节

You can add the general label like a text use the follow code line g.fig.text(0.04, 0.5, 'Y axis label', va='center', rotation='vertical') and you will obtain the follow:您可以像文本一样添加一般的 label 使用以下代码行g.fig.text(0.04, 0.5, 'Y axis label', va='center', rotation='vertical') ,您将获得以下内容: 在此处输入图像描述

I think replacing g.fig.subplots_adjust(hspace=-.25) with g.fig.subplots_adjust(hspace=.1) should do the trick.我认为用 g.fig.subplots_adjust( g.fig.subplots_adjust(hspace=.1)替换g.fig.subplots_adjust(hspace=-.25) ) 应该可以解决问题。

在此处输入图像描述

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