如何自定义Seaborn FacetGrid中的自动行标签？如何获得整个图形的单个xlabel和ylable？

Question

我想知道如何自定义FacetGrid的行标签。有一个自动值0.0、0.1等，可以更改为“比率<5％”，“比率<10％”，....

还想知道如何拥有一个xlabel和ylabel（不在网格的每个面上重复）。

查看Python图像和R图像。

g = sns.FacetGrid(df, 
                  col="chlorides_rounded", 
                  height=3.3, 
                  row='ratio_sulfur.dioxide_rounded',
                  margin_titles=True,
                  hue='quality_bucket', 
                  hue_order=['High', 'Medium', 'Low'],palette = 'RdYlGn_r')

g = (g.map(plt.scatter, "density", "alcohol", **kws).add_legend(markerscale=2))

Answer 1

也许其他人可以提出一个更简单的解决方案，但我的解决方案不是最漂亮，但可以为您提供所需的解决方案。而且由于您没有共享数据，所以我使用了seaborn附带的玩具数据集：

import seaborn as sns

att = sns.load_dataset("attention")
g = sns.FacetGrid(att, col="subject", col_wrap=5, height=1.5)
g = g.map(plt.plot, "solutions", "score", marker=".")

#this surpresses the x- and y-labels on each axes of the bottom/leftmost column
g.set_axis_labels('', '') 

# overall ylabel
g.fig.text(x=0, y=0.5, 
           verticalalignment='center', #make sure it's aligned at center vertically
           s='Alcohol % per volume', #this is the text in the ylabel
           size=16, #customize the fontsize if you will
           rotation=90) #vertical text

#overall xlabel
g.fig.text(x=0.5, y=0, 
           horizontalalignment='center', #make sure it's aligned at center horizontally
           s='Density $g/cm^3$', #this is the text in the xlabel
           size=16)

Answer 2

最后，我找到了一个很难看的解决方案，但是我没有收到其他解决方案！

ratio_labels =  ["","","",
             "ratio <5%",
             "","","",
             "ratio < 15%",
             "","","",
             "ratio <25%",
             "","","",
             "ratio < 35%",
             "","","",
             "ratio <45%",
             "","","",
             "ratio < 55%",
             "","","",
             "ratio <65%",
             "","","",
             "ratio < 75%"]

for i, ax in enumerate(g.axes.flat):
    plt.setp(ax.texts, text=ratio_labels[i])