pandas 在熊猫顶部带有标签名称和值的条形图
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Bar chart with label name and value on top in pandas
提问by M Hossain
I have two columns where i used groupby option create a df called output_duration_per_device such as
我有两列，我使用 groupby 选项创建了一个名为 output_duration_per_device 的 df，例如
output_duration_per_device=s3_dataset.groupby('DeviceType')['Output_media_duration'].sum().reset_index(name ='format_duration')
output_duration_per_device
DeviceType format_duration
0 Alchemist 8.166905e+06
1 CaptionMaker 1.310864e+07
2 Elemental 1.818089e+07
3 EncodingCloud 0.000000e+00
4 FfMpeg 5.258470e+07
5 FlipFactory 4.747456e+02
6 Rhozet 6.263442e+08
7 Tachyon 4.827463e+06
I can make a bar chat and find like this
我可以进行酒吧聊天并找到这样的
output_duration_per_device=s3_dataset.groupby('DeviceType')['Output_media_duration'].sum().reset_index(name ='Device_duration').plot(kind ='bar', figsize=(10,7), fontsize=13)
output_duration_per_device.set_alpha(0.8)
output_duration_per_device.set_title('DeviceType Output Media duration')
output_duration_per_device.set_xlabel('DeviceType')
plt.ylabel('Output_media_duration')
which gives me
这给了我
but i want like below
但我想要像下面这样
please help me
请帮我
回答by user3483203
Using plotand annotating via height (I would recommend fiddling with the spacing):
plot通过高度使用和注释（我建议调整间距）：
from decimal import Decimal
ax = df.plot(x='DeviceType', y='format_duration', kind='bar')
for p in ax.patches:
ax.annotate('{:.2E}'.format(Decimal(str(p.get_height()))), (p.get_x(), p.get_height()))
plt.tight_layout()
plt.show()
回答by Masud Rumii
"""
"""
Barchart
柱状图
A bar plot with errorbars and height labels on individual bars """
条形图在单个条形上带有误差条和高度标签 """
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()
The following code is collected from Matplotlib official website. Please take a look. click here
以下代码摘自 Matplotlib 官网。请看一下。点击这里
