pandas 如何使用 matplotlib 正确绘制数据框
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How to properly plot dataframe with matplotlib
提问by Marcos Santana
I'm trying to plot a dataframe with two columns:
我试图用两列绘制一个数据框：
Compound_ID,Averages
0 M0001,0.75
1 M0002,0.87
2 M003,0.45
Instead of showing the 'Compound_ID' on the x axis it is showing the index. When I explicitly try to plot, it raises and error.
它不是在 x 轴上显示“Compound_ID”，而是显示索引。当我明确尝试绘图时，它会引发错误。
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
df = pd.read_csv('teste.csv')
plt.plot(df['Averages'], df['Compound_ID'])
plt.show()
AttributeError: 'Series' object has no attribute 'find'
It is probably something easy to solve, but can someone take a look at my code?
这可能很容易解决，但有人可以看看我的代码吗？
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
df = pd.read_csv('teste.csv')
plt.plot(df['Averages'])
plt.show()
回答by Andrey Lukyanenko
You can do this:
你可以这样做：
plt.plot(df['Averages'])
plt.xticks(range(len(df['Compound_ID'])) , df['Compound_ID'])
This way you plot xticks separately. The first element is numerical indexes, second - names.
这样你就可以分别绘制 xticks 了。第一个元素是数字索引，第二个元素是名称。
