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从DataFrame python pandas写入csv

[英]write to csv from DataFrame python pandas

我写了一个程序,我添加了两列并将答案写入CSV文件,但是当我只想编写列的选择时,我收到错误。 这是我的逻辑:

import pandas as pd

df = pd.DataFrame({'A' : ['foo', 'bar', 'foo', 'bar',
                           'foo', 'bar', 'foo', 'bar'],
                'B' : ['one', 'one', 'two', 'two',
                          'two', 'two', 'one', 'two'],
                'C' : [56, 2, 3, 4, 5, 6, 0, 2],
                'D' : [51, 2, 3, 4, 5, 6, 0, 2]})

grouped = df.groupby(['A', 'B']).sum()

grouped['sum'] = (grouped['C'] / grouped['D']) 
# print (grouped[['sum']])


a = pd.DataFrame(grouped)


a.to_csv("C:\\Users\\test\\Desktop\\test.csv", index=False, cols=('A','B','sum'))

我怎么才能写出A,B和Sum列的数据。 我收到以下错误

Traceback (most recent call last):
  File "C:\Users\test\Desktop\eclipse\yuy\group.py", line 19, in <module>
    a.to_csv("C:\\Users\\test\\Desktop\\test.csv", index=False, cols=('A','B','sum'))
  File "C:\Python27\lib\site-packages\pandas\core\frame.py", line 1126, in to_csv
    date_format=date_format)
  File "C:\Python27\lib\site-packages\pandas\core\format.py", line 992, in __init__
    self.obj = self.obj.loc[:, cols]
  File "C:\Python27\lib\site-packages\pandas\core\indexing.py", line 1018, in __getitem__
    return self._getitem_tuple(key)
  File "C:\Python27\lib\site-packages\pandas\core\indexing.py", line 595, in _getitem_tuple
    self._has_valid_tuple(tup)
  File "C:\Python27\lib\site-packages\pandas\core\indexing.py", line 106, in _has_valid_tuple
    if not self._has_valid_type(k, i):
  File "C:\Python27\lib\site-packages\pandas\core\indexing.py", line 1100, in _has_valid_type
    (key, self.obj._get_axis_name(axis)))
KeyError: "[['A', 'B', 'sum']] are not in ALL in the [columns]"

A和B不再是列,因为你调用了groupby(['A', 'B']) 相反,他们都是一个索引。 尝试省略index=False ,如下所示:

a.to_csv("test.csv", cols=['sum'])

如果要将其写为excel文件,请使用此命令

writer = pd.ExcelWriter('output.xlsx')
data_frame.to_excel(writer,'Sheet1')
writer.save()

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