相关疑难解决方法(0)

我可以在单个系列条形图上绘制误差条,如下所示:

import pandas as pd
df = pd.DataFrame([[4,6,1,3], [5,7,5,2]], columns = ['mean1', 'mean2', 'std1', 'std2'], index=['A', 'B'])
print(df)
     mean1  mean2  std1  std2
A      4      6     1     3
B      5      7     5     2

df['mean1'].plot(kind='bar', yerr=df['std1'], alpha = 0.5,error_kw=dict(ecolor='k'))

正如预期的那样,索引A的平均值与同一索引的标准偏差配对,误差条显示该值的+/-.

但是,当我尝试在同一个图中同时绘制'mean1'和'mean2'时,我不能以相同的方式使用标准偏差:

df[['mean1', 'mean2']].plot(kind='bar', yerr=df[['std1', 'std2']], alpha = 0.5,error_kw=dict(ecolor='k'))

    Traceback (most recent call last):

  File "<ipython-input-587-23614d88a3c5>", line 1, in <module>
    df[['mean1', 'mean2']].plot(kind='bar', yerr=df[['std1', 'std2']], alpha = 0.5,error_kw=dict(ecolor='k'))

  File "C:\Users\name\Dropbox\Tools\WinPython-64bit-2.7.6.2\python-2.7.6.amd64\lib\site-packages\pandas\tools\plotting.py", line 1705, in plot_frame
    plot_obj.generate()

  File "C:\Users\name\Dropbox\Tools\WinPython-64bit-2.7.6.2\python-2.7.6.amd64\lib\site-packages\pandas\tools\plotting.py", line 878, in generate
    self._make_plot()

  File "C:\Users\name\Dropbox\Tools\WinPython-64bit-2.7.6.2\python-2.7.6.amd64\lib\site-packages\pandas\tools\plotting.py", …

根据对此问题的接受答案,我能够为自己的数据重现相同的结果.但是,我需要绘制不对称误差条.

dfdict = {'ID': ['A', 'A', 'B', 'B', 'C', 'C', 'D', 'D'],
      'quarter': ['2015 2Q', '2016 1Q', '2015 2Q', '2016 1Q', '2015 2Q',
                  '2016 1Q', '2015 2Q', '2016 1Q'],
      'Percent': [0.851789, 0.333333, 0.355240, 0.167224, 1.533220,
                  0.333333, 0.170358, 0.000000],
      'AgrCoullLower': [ 0.378046, 0.057962,  0.061850, -0.027515,
                         0.866025, 0.057962, -0.028012, -0.092614],
      'AgrCoullUpper': [1.776511, 1.054612, 1.123492, 0.810851,
                        2.645141, 1.054612, 0.825960, 0.541513]}
df = pd.DataFrame(dfdict)
df
  ID  quarter   Percent  AgrCoullLower  AgrCoullUpper
0  A  2015 2Q  0.851789       0.378046       1.776511
1  A  2016 …