如何在条形图（Python）上的条形上方书写文本？
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How to write text above the bars on a bar plot (Python)?
提问by Parfi
I have this graph:
I want to write the count above each column. These values are in the first and second lists. Can you help me solve this problem? I tried something without success.
我有这个图：
我想在每列上方写下计数。这些值在第一个和第二个列表中。你能帮我解决这个问题吗？我尝试了一些没有成功的东西。
This is the code for the graph:
这是图形的代码：
countListFast = [1492.0, 497.0, 441.0, 218.0, 101.0, 78.0, 103.0]
countListSlow = [1718.0, 806.0, 850.0, 397.0, 182.0, 125.0, 106.0]
errorRateListOfFast = ['9.09', '9.09', '9.38', '9.40', '7.89', '8.02', '10.00']
errorRateListOfSlow = ['10.00', '13.04', '14.29', '12.50', '14.29', '14.53', '11.11']
opacity = 0.4
bar_width = 0.35
plt.xlabel('Tasks')
plt.ylabel('Error Rate')
plt.xticks(range(len(errorRateListOfFast)),('[10-20)', '[20-30)', '[30-50)', '[50-70)','[70-90)', '[90-120)', ' [120 < )'), rotation=30)
plt.bar(np.arange(len(errorRateListOfFast))+ bar_width, errorRateListOfFast, bar_width, align='center', alpha=opacity, color='b', label='Fast <= 6 sec.')
plt.bar(range(len(errorRateListOfSlow)), errorRateListOfSlow, bar_width, align='center', alpha=opacity, color='r', label='Slower > 6 sec.')
plt.legend()
plt.tight_layout()
plt.show()
回答by Martin Evans
plt.bar()returns a list of rectangles that can be used to position suitable text above each of the bars as follows:
plt.bar()返回一个矩形列表，可用于在每个条形上方放置合适的文本，如下所示：
import matplotlib.pyplot as plt
import numpy as np
countListFast = [1492.0, 497.0, 441.0, 218.0, 101.0, 78.0, 103.0]
countListSlow = [1718.0, 806.0, 850.0, 397.0, 182.0, 125.0, 106.0]
errorRateListOfFast = ['9.09', '9.09', '9.38', '9.40', '7.89', '8.02', '10.00']
errorRateListOfSlow = ['10.00', '13.04', '14.29', '12.50', '14.29', '14.53', '11.11']
opacity = 0.4
bar_width = 0.35
plt.xlabel('Tasks')
plt.ylabel('Error Rate')
plt.xticks(range(len(errorRateListOfFast)),('[10-20)', '[20-30)', '[30-50)', '[50-70)','[70-90)', '[90-120)', ' [120 < )'), rotation=30)
bar1 = plt.bar(np.arange(len(errorRateListOfFast))+ bar_width, errorRateListOfFast, bar_width, align='center', alpha=opacity, color='b', label='Fast <= 6 sec.')
bar2 = plt.bar(range(len(errorRateListOfSlow)), errorRateListOfSlow, bar_width, align='center', alpha=opacity, color='r', label='Slower > 6 sec.')
# Add counts above the two bar graphs
for rect in bar1 + bar2:
height = rect.get_height()
plt.text(rect.get_x() + rect.get_width()/2.0, height, '%d' % int(height), ha='center', va='bottom')
plt.legend()
plt.tight_layout()
plt.show()
Giving you:
给你：
回答by lcastillov
Check out the following link, it may help:
查看以下链接，它可能会有所帮助：
