[英]How to add unit to axis-label at 'ridge plot' from seaborn
I would like to do following based on the seaborn 'ridge plot' example ( https://seaborn.pydata.org/examples/kde_ridgeplot.html ):我想根据 seaborn 'ridge plot' 示例( https://seaborn.pydata.org/examples/kde_ridgeplot.html )执行以下操作:
I want to add the unit to the x label of the x-axis, such that it appears as x in [m] in the plot.我想将单位添加到 x 轴的 x 标签中,使其在图中显示为[m]中的x 。 How do I do that?
我怎么做? Extending the command
g.map(label, "x")
to g.map(label, "x in [m]")
leads to following error: KeyError: "['x [m]'] not in index"将命令
g.map(label, "x")
扩展到g.map(label, "x in [m]")
会导致以下错误: KeyError: "['x [m]'] not in index"
My code is the following one:我的代码如下:
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)})
errorNames = ['Error 1 - abc.....',
'Error 2 - abc.....',
'Error 3 - abc.....',
'Error 4 - abc.....',
'Error 5 - abc.....',
'Error 6 - abc.....',
'Error 7 - abc.....',
'Error 8 - abc.....',
'Error 9 - abc.....',
'Error 10 - abc.....',
'Error 11 - abc.....',
'Error 12 - abc.....',
'Error 13 - abc.....']
# Create the data
rs = np.random.RandomState(1979)
x = rs.randn(650)
#g = np.tile(list("ABCDEFGHIJKLM"), 50)
g = np.tile(list(errorNames), 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)
#sns.plt.xlim(-10, 3)
# 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")
#g.map(label, "x [m]")
# Set the subplots to overlap
# Erst hier wird geplotted
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)
Just some playing around with the axis object g
and I found a simple and seemingly direct way to do it using set_xlabels
.只是玩弄轴对象
g
,我发现了一种使用set_xlabels
的简单且看似直接的方法。 Read the docs here , thanks to @DavidG for finding it.在这里阅读文档,感谢@DavidG 找到它。 Specifically,
具体来说,
set_xlabels([label]) Label the x axis on the bottom row of the grid.
set_xlabels([label]) 在网格的底行标记 x 轴。
g.map(label, "x")
g.set_xlabels('x in [m]')
只是一个附加说明,您可能希望将 pal 中的数量增加到 13 以保持颜色渐变。
pal = sns.cubehelix_palette(13, rot=-.25, light=.7)
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