更新时间:2023-11-14 23:17:46
让我们尝试.
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from itertools import groupby
data = [{'ship': 'Yes','canoe': 'Yes', 'cruise': 'Yes', 'kayak': 'No','color': 'Red'},{'ship': 'Yes', 'cruise': 'Yes', 'kayak': 'Yes','canoe': 'No','color': 'Green'},{'ship': 'Yes', 'cruise': 'Yes', 'kayak': 'No','canoe': 'No','color': 'Green'},{'ship': 'Yes', 'cruise': 'Yes', 'kayak': 'No','canoe': 'No','color': 'Red'},{'ship': 'Yes', 'cruise': 'Yes', 'kayak': 'Yes','canoe': 'No','color': 'Red'},{'ship': 'No', 'cruise': 'Yes', 'kayak': 'No','canoe': 'Yes','color': 'Green'},{'ship': 'No', 'cruise': 'No', 'kayak': 'No','canoe': 'No','color': 'Green'},{'ship': 'No', 'cruise': 'No', 'kayak': 'No','canoe': 'No','color': 'Red'}]
df = pd.DataFrame(data)
df1 = df.replace(["Yes","No"],[1,0]).groupby("color").mean().stack().rename('% Yes').to_frame()
def add_line(ax, xpos, ypos):
line = plt.Line2D([xpos, xpos], [ypos + .1, ypos],
transform=ax.transAxes, color='gray')
line.set_clip_on(False)
ax.add_line(line)
def label_len(my_index,level):
labels = my_index.get_level_values(level)
return [(k, sum(1 for i in g)) for k,g in groupby(labels)]
def label_group_bar_table(ax, df):
ypos = -.1
scale = 1./df.index.size
for level in range(df.index.nlevels)[::-1]:
pos = 0
for label, rpos in label_len(df.index,level):
lxpos = (pos + .5 * rpos)*scale
ax.text(lxpos, ypos, label, ha='center', transform=ax.transAxes)
add_line(ax, pos*scale, ypos)
pos += rpos
add_line(ax, pos*scale , ypos)
ypos -= .1
colorlist = ['green','red']
cp = sns.color_palette(colorlist)
ax = sns.barplot(x=df1.index, y='% Yes', hue = df1.index.get_level_values(0), data=df1, palette=cp)
#Below 2 lines remove default labels
ax.set_xticklabels('')
ax.set_xlabel('')
label_group_bar_table(ax, df1)
输出: