如何使用pyplot.barh()在每个条上显示条的值

我生成了一个条形图，如何在每个条形上显示条形的值?

当前的情节:

enter image description here

我想要的是:

enter image description here

我的代码:

import os
import numpy as np
import matplotlib.pyplot as plt


x = [u'INFO', u'CUISINE', u'TYPE_OF_PLACE', u'DRINK', u'PLACE', u'MEAL_TIME', u'DISH', u'NEIGHBOURHOOD']
y = [160, 167, 137, 18, 120, 36, 155, 130]


fig, ax = plt.subplots()
width = 0.75 # the width of the bars
ind = np.arange(len(y))  # the x locations for the groups
ax.barh(ind, y, width, color="blue")
ax.set_yticks(ind+width/2)
ax.set_yticklabels(x, minor=False)
plt.title('title')
plt.xlabel('x')
plt.ylabel('y')
#plt.show()
plt.savefig(os.path.join('test.png'), dpi=300, format='png', bbox_inches='tight') # use format='svg' or 'pdf' for vectorial pictures
493664 次浏览
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最佳答案

更新:现在有一个内置的方法!向下滚动“matplotlib 3.4.0中的新内容”的几个答案。

如果你不能升级到那么远，也不需要太多代码。添加:

for i, v in enumerate(y):
ax.text(v + 3, i + .25, str(v), color='blue', fontweight='bold')

结果:

enter image description here

y值v既是ax.text的x-location值也是字符串值，而且方便地，barplot对每个bar都有一个度量值1，因此枚举i是y-location值。

小开

我注意到API示例代码包含了一个条形图的例子，每个条形图上都显示了条形图的值:

"""
========
Barchart
========


A bar plot with errorbars and height labels on individual bars
"""
import numpy as np
import matplotlib.pyplot as plt


N = 5
men_means = (20, 35, 30, 35, 27)
men_std = (2, 3, 4, 1, 2)


ind = np.arange(N)  # the x locations for the groups
width = 0.35       # the width of the bars


fig, ax = plt.subplots()
rects1 = ax.bar(ind, men_means, width, color='r', yerr=men_std)


women_means = (25, 32, 34, 20, 25)
women_std = (3, 5, 2, 3, 3)
rects2 = ax.bar(ind + width, women_means, width, color='y', yerr=women_std)


# add some text for labels, title and axes ticks
ax.set_ylabel('Scores')
ax.set_title('Scores by group and gender')
ax.set_xticks(ind + width / 2)
ax.set_xticklabels(('G1', 'G2', 'G3', 'G4', 'G5'))


ax.legend((rects1[0], rects2[0]), ('Men', 'Women'))




def autolabel(rects):
"""
Attach a text label above each bar displaying its height
"""
for rect in rects:
height = rect.get_height()
ax.text(rect.get_x() + rect.get_width()/2., 1.05*height,
'%d' % int(height),
ha='center', va='bottom')


autolabel(rects1)
autolabel(rects2)


plt.show()

输出:

enter image description here

FYI matplotlib的“barh”中高度变量的单位是什么?(到目前为止，没有简单的方法为每个条设置固定的高度)

小开

我知道这是一个老帖子，但我通过谷歌登陆了几次，认为没有给出的答案是真正令人满意的。尝试使用以下函数之一:

编辑:因为我在这个旧线程上得到了一些喜欢，我想分享一个更新的解决方案(基本上把我之前的两个函数放在一起，并自动决定它是一个bar还是hbar plot):

def label_bars(ax, bars, text_format, **kwargs):
"""
Attaches a label on every bar of a regular or horizontal bar chart
"""
ys = [bar.get_y() for bar in bars]
y_is_constant = all(y == ys[0] for y in ys)  # -> regular bar chart, since all all bars start on the same y level (0)


if y_is_constant:
_label_bar(ax, bars, text_format, **kwargs)
else:
_label_barh(ax, bars, text_format, **kwargs)




def _label_bar(ax, bars, text_format, **kwargs):
"""
Attach a text label to each bar displaying its y value
"""
max_y_value = ax.get_ylim()[1]
inside_distance = max_y_value * 0.05
outside_distance = max_y_value * 0.01


for bar in bars:
text = text_format.format(bar.get_height())
text_x = bar.get_x() + bar.get_width() / 2


is_inside = bar.get_height() >= max_y_value * 0.15
if is_inside:
color = "white"
text_y = bar.get_height() - inside_distance
else:
color = "black"
text_y = bar.get_height() + outside_distance


ax.text(text_x, text_y, text, ha='center', va='bottom', color=color, **kwargs)




def _label_barh(ax, bars, text_format, **kwargs):
"""
Attach a text label to each bar displaying its y value
Note: label always outside. otherwise it's too hard to control as numbers can be very long
"""
max_x_value = ax.get_xlim()[1]
distance = max_x_value * 0.0025


for bar in bars:
text = text_format.format(bar.get_width())


text_x = bar.get_width() + distance
text_y = bar.get_y() + bar.get_height() / 2


ax.text(text_x, text_y, text, va='center', **kwargs)

现在你可以将它们用于常规条形图:

fig, ax = plt.subplots((5, 5))
bars = ax.bar(x_pos, values, width=0.5, align="center")
value_format = "{:.1%}"  # displaying values as percentage with one fractional digit
label_bars(ax, bars, value_format)

或者对于水平条形图:

fig, ax = plt.subplots((5, 5))
horizontal_bars = ax.barh(y_pos, values, width=0.5, align="center")
value_format = "{:.1%}"  # displaying values as percentage with one fractional digit
label_bars(ax, horizontal_bars, value_format)
小开

对于熊猫人来说:

ax = s.plot(kind='barh') # s is a Series (float) in [0,1]
[ax.text(v, i, '{:.2f}%'.format(100*v)) for i, v in enumerate(s)];
< p >就是这样。 或者，对于那些更喜欢apply而不是使用enumerate循环的人:

it = iter(range(len(s)))
s.apply(lambda x: ax.text(x, next(it),'{:.2f}%'.format(100*x)));

而且，ax.patches会给你用ax.bar(...)得到的条形。如果你想应用@SaturnFromTitan的功能或其他人的技术。

小开

对于任何想要拥有他们的条的底部的标签的人，就像这样用v除以标签的值:

for i, v in enumerate(labels):
axes.text(i-.25,
v/labels[i]+100,
labels[i],
fontsize=18,
color=label_color_list[i])

(注意:我加了100，所以它不是绝对在底部)

得到如下结果: enter image description here < / p >

小开

我也需要条形标签，注意我的y轴有一个使用y轴限制的缩放视图。将标签放在栏顶的默认计算仍然使用height(示例中的use_global_coordinate=False)。但我想说明的是，在放大视图中，使用matplotlib 3.0.2中的全局坐标，标签也可以放在图的底部。希望它能帮助到别人。

def autolabel(rects,data):
"""
Attach a text label above each bar displaying its height
"""
c = 0
initial = 0.091
offset = 0.205
use_global_coordinate = True


if use_global_coordinate:
for i in data:
ax.text(initial+offset*c, 0.05, str(i), horizontalalignment='center',
verticalalignment='center', transform=ax.transAxes,fontsize=8)
c=c+1
else:
for rect,i in zip(rects,data):
height = rect.get_height()
ax.text(rect.get_x() + rect.get_width()/2., height,str(i),ha='center', va='bottom')

示例输出 .

小开

使用plt.text ()将文本放入绘图中。

例子:

import matplotlib.pyplot as plt
N = 5
menMeans = (20, 35, 30, 35, 27)
ind = np.arange(N)


#Creating a figure with some fig size
fig, ax = plt.subplots(figsize = (10,5))
ax.bar(ind,menMeans,width=0.4)
#Now the trick is here.
#plt.text() , you need to give (x,y) location , where you want to put the numbers,
#So here index will give you x pos and data+1 will provide a little gap in y axis.
for index,data in enumerate(menMeans):
plt.text(x=index , y =data+1 , s=f"{data}" , fontdict=dict(fontsize=20))
plt.tight_layout()
plt.show()

这将显示的图形为:

顶部有值的柱状图

小开

我试图用堆叠的图条来做到这一点。对我有用的代码是。

# Code to plot. Notice the variable ax.
ax = df.groupby('target').count().T.plot.bar(stacked=True, figsize=(10, 6))
ax.legend(bbox_to_anchor=(1.1, 1.05))


# Loop to add on each bar a tag in position
for rect in ax.patches:
height = rect.get_height()
ypos = rect.get_y() + height/2
ax.text(rect.get_x() + rect.get_width()/2., ypos,
'%d' % int(height), ha='center', va='bottom')
小开

检查此链接 Matplotlib Gallery 这就是我如何使用autolabel的代码片段 

    def autolabel(rects):
"""Attach a text label above each bar in *rects*, displaying its height."""
for rect in rects:
height = rect.get_height()
ax.annotate('{}'.format(height),
xy=(rect.get_x() + rect.get_width() / 2, height),
xytext=(0, 3),  # 3 points vertical offset
textcoords="offset points",
ha='center', va='bottom')
        

temp = df_launch.groupby(['yr_mt','year','month'])['subs_trend'].agg(subs_count='sum').sort_values(['year','month']).reset_index()
_, ax = plt.subplots(1,1, figsize=(30,10))
bar = ax.bar(height=temp['subs_count'],x=temp['yr_mt'] ,color ='g')
autolabel(bar)


ax.set_title('Monthly Change in Subscribers from Launch Date')
ax.set_ylabel('Subscriber Count Change')
ax.set_xlabel('Time')
plt.show()
小开

matplotlib 3.4.0新增功能

现在有一个内置的< >强Axes.bar_label < / >强帮助方法来自动标记条形图:

fig, ax = plt.subplots()
bars = ax.barh(indexes, values)


ax.bar_label(bars)

注意，对于分组/堆叠的条形图，会有多个条形容器，它们都可以通过ax.containers访问:

for bars in ax.containers:
ax.bar_label(bars)

更多的细节:

小开

简单地加上这个:

for i in range(len(y)):
plt.text(x= y[i],y= i,s= y[i], c='b')

对于列表(y)中的每一项，将值打印为指定位置(x= x轴上的位置和y= y轴上的位置)的绘图上的蓝色文本


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