Pandas 在单个条形图上绘制多列
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Pandas plot multiple columns on a single bar chart
提问by aks85
I'm trying to plot multiple columns onto a single bar chart.
我正在尝试将多个列绘制到单个条形图上。
First, I defined them:
首先，我定义了它们：
public_action_sum = df['Q17.4_1'].sum()
testified_sum = df['Q17.4_4'].sum()
met_el_sum = df['Q17.4_5'].sum()
...
and then merged those sums into a single dataframe:
actions_combined = [public_action_sum, testified_sum, met_el_sum, policy_sum, bill_sum]
然后将这些总和合并到一个数据帧中：
actions_combined = [public_action_sum, testified_sum, met_el_sum, policy_sum, bill_sum]
I'm trying to use pandas.DataFrame.plot.barand have written:
我正在尝试使用pandas.DataFrame.plot.bar并已编写：
pd.DataFrame.plot.bar(x['Q17.4_1','Q17.4_4','Q17.4_5','Q17.4_6','Q17.4_7'],y=actions_combined,rot=0)
but am getting the error "missing 1 required positional argument: 'self'
但我收到错误“缺少 1 个必需的位置参数：‘self’
I've spent the last hour and a half trying to figure this iout, and am not sure where I'm going wrong. Thoughts? THANKS!
我花了最后一个半小时试图弄清楚这个问题，但不确定我哪里出错了。想法？谢谢！
回答by rahlf23
Here is a short example dataframe:
这是一个简短的示例数据框：
Date Open High Low Close Adj Close Volume
0 1996-01-01 4.06250 4.12500 3.8750 3.90625 3.093209 7048800
1 1996-02-01 3.84375 3.96875 3.5000 3.62500 2.870497 12864000
2 1996-03-01 3.50000 4.25000 3.5000 4.12500 3.266428 9526400
3 1996-04-01 4.06250 4.68750 4.0625 4.50000 3.563378 5693600
4 1996-05-01 4.40625 4.65625 4.1250 4.21875 3.340666 30480000
Then you can do:
然后你可以这样做：
import pandas as pd
import matplotlib.pyplot as plt
df[['Open','High','Low','Close','Adj Close']].plot(kind='bar')
plt.show()
Which gives:
这使：
