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问题描述
我已经制作了一个水平条形图,现在我需要在条形上添加标记.我怎么能这样做?
I have made a horizontal bar graph, now I need to add markers on the bars. How can I do so?
我到目前为止的代码如下所示:
The code I have so far is shown below:
def plot_comparison(): lengths = [11380, 44547, 166616, 184373, 193068, 258004, 369582, 462795, 503099, 581158, 660724, 671812, 918449] y_pos = np.arange(len(length)) error = np.random.rand(len(length)) plt.barh(y_pos, length, xerr=error, align='center', alpha=0.4) plt.yticks(y_pos, length) plt.xlabel('Lengths') plt.title('Comparison of different cuts') plt.show() 推荐答案
你可以简单地添加一个 plot 命令,根据 lengths 绘制 y_pos代码>.确保指定制造商并将线型设置为 ""(或 "none"),否则标记将通过直线连接.以下代码可能正是您所追求的.
You can simply add a plot command, plotting the y_pos against the lengths. Make sure to specify a maker and set linestyle to "" (or "none") otherwise the markers will be connected by straight lines. The following code may be what you're after.
import matplotlib.pyplot as plt import numpy as np lengths = [11380, 44547, 166616, 184373, 193068, 258004, 369582, 462795, 503099, 581158, 660724, 671812, 918449] y_pos = np.arange(len(lengths)) error = np.array(lengths)*0.08 plt.barh(y_pos, lengths, xerr=error, align='center', alpha=0.4) plt.plot(lengths, y_pos, marker="D", linestyle="", alpha=0.8, color="r") plt.yticks(y_pos, lengths) plt.xlabel('Lengths') plt.title('Comparison of different cuts') plt.show()
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如何在python中的条形图上添加标记?
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