计算脊线图中每个脊的样本量

Question

我希望我的样本大小文本位于下方脊图的每个脊上（可能在右上角）。有人用joyplot试过吗

import joypy

range_P = [0,500,1000,1500,2000,2500,3000]
labels = [('RZ for PRP. \n('+str(range_P[i])+'-'+str(range_P[i]+500)+' mm)') for i in range(7)]

fig, axes = joypy.joyplot([RZS_P['RZ'][(RZS_P['PRP'] > range_P[i]) & (RZS_P['PRP'] <= range_P[i]+500)] for i in range(7)],
                          ylim='own', 
                          overlap = 0, 
                          bins = 20, 
                          figsize=(6,10), 
                          alpha = 0.6, 
                          labels = labels, 
                          color  ='#1f78b4'
                         )
plt.xlim(0,1000)

Answer 1

joyplot绘制多张图时，每张图的坐标轴是独立的。所以你可以设置一个位置并使用for循环。

我无法重现您的代码，但使用了 joyplot author's code。文本 t1, t2, t3, t4 设置在每个图形的右侧。

1.Download iris.csv 来自某处。

2.Set 样本 = []。

3.Set 轴的 x 和 y [].text(x,y,..) 由 adjustig y_position = axes[i].get_ylim()[1] / 3.5.

随心所欲

import joypy
import pandas as pd
from matplotlib import pyplot as plt
from matplotlib import cm

iris = pd.read_csv("iris.csv")

sample = ['t1', 't2', 't3', 't4']

%matplotlib inline

fig, axes = joypy.joyplot(iris, ylim='own')

for i in range(len(sample)):
    y_position = axes[i].get_ylim()[1] / 3.5  # adjust with ylim for each plot
    axes[i].text(9, y_position, sample[i])

计算脊线图中每个脊的样本量

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