pandas 来自熊猫数据框python的barh图中行的不同颜色
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different colors for rows in barh chart from pandas dataframe python
提问by michAmir
I have the following pandas dataframe:
我有以下Pandas数据框：
a b
bob 23 25
john 13 21
paul 20 19
david 17 14
michael 14 24
neil 22 11
df.plot(kind='barh')
I used the pandas plot function. I want to make a barh chart with all the rows(names) having a different colors is there a way to do this?
我使用了Pandas绘图功能。我想制作一个 barh 图表，其中所有行（名称）都具有不同的颜色，有没有办法做到这一点？
I need all person to have different colored bars.
我需要所有人都有不同颜色的条。
回答by andrew
It appears that Pandas only supports using the colormapattribute, which applies the same map to each row in your chart, e.g.:
看来 Pandas 只支持使用colormap属性，它将相同的映射应用于图表中的每一行，例如：
df.plot(kind='barh', colormap='RdBu')
For your purposes, you need to use Matplotlib directly.
出于您的目的，您需要直接使用 Matplotlib。
import matplotlib.pyplot as plt
import pandas as pd
df = pd.DataFrame({'a':[23, 13, 20, 17, 14, 22],
'b':[25, 21, 19, 14, 23, 11]},
index=['bob', 'john', 'paul', 'david', 'michael', 'neil'])
a_vals = df.a
b_vals = df.b
ind = np.arange(df.shape[0])
width = 0.35
# Set the colors
colors = ['b', 'g', 'r', 'c', 'm', 'y', 'g']
def autolabel(bars):
# attach some text labels
for bar in bars:
width = bar.get_width()
ax.text(width*0.95, bar.get_y() + bar.get_height()/2,
'%d' % int(width),
ha='right', va='center')
# make the plots
fig, ax = plt.subplots()
a = ax.barh(ind, a_vals, width, color = colors) # plot a vals
b = ax.barh(ind + width, b_vals, width, color = colors, alpha=0.5) # plot b vals
ax.set_yticks(ind + width) # position axis ticks
ax.set_yticklabels(df.index) # set them to the names
ax.legend((a[0], b[0]), ['a', 'b'], loc='center right')
autolabel(a)
autolabel(b)
plt.show()
Please refer to the following examples:
请参考以下例子：
1 - matplotlib 条形图
2- changing individual colors on bar chart
2- 改变条形图上的个别颜色
