将y轴标签添加到seaborn的山脊图上

时间:2019-09-22 22:35:56

标签: python seaborn

我想使用seaborn在python中向密度脊线图添加y轴标签。为了绘制山脊线图,我遵循the seaborn gallery中的代码。为了方便起见,我在下面复制了他们的代码段。我该如何修改它以不过度绘制密度曲线的方式标记y轴?

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)

为清楚起见,我希望情节看起来像这样: desired plot

1 个答案:

答案 0 :(得分:0)

我认为用override_attributes代替"type": "chef-client", "server_url": "https://mychefserver.com/", "run_list": "role[my-role]", "json": { "cookbook_two": { "some_key": "value" } } 应该可以解决问题。

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