Dask 2.1.0，KeyError:“未找到列:0" [英] Dask 2.1.0, KeyError: 'Column not found: 0'

问题描述

我正在使用dask读取大型csv数据文件，并且尝试对所得数据帧执行groupby.但是，我继续收到

I am reading in large csv data files using dask and I am attempting to perform a groupby on the resulting dataframe. However, I continue to receive

KeyError:'找不到列:0'

在生成的dask数据帧上

on the resulting dask dataframe

我已经在Dask 1.2.2和2.1.0上复制了该问题.我在同一数据帧上看不到Pandas的问题.我在所有情况下都使用Python 3.6

I have replicated the problem on both Dask 1.2.2 and 2.1.0. I do not see the problem with Pandas on the same dataframe. I am using Python 3.6 in all cases

为帮助说明问题，我已经能够简化代码并将问题复制到更简单的数据集上.

To help illustrate the problem I have been able to simplify the code and replicate the problem on a much simpler dataset.

import pandas as pd
from dask import dataframe as dd
from dask import multiprocessing
from dask.distributed import Client

client = Client(processes=False)

data = {
    'col1': [1, 1, 1, 2, 2, 2, 3, 3, 3],
    'col2': ['apple','bananna','orange','apple','bananna','orange','apple','bananna','orange'],
    'col3': [34, 12, 1, 36, 22, 6, 22, 16, 4]
    }
pdf = pd.DataFrame(data=data)
print('*************  Pandas DataFrame')
print(pdf.head(5))

print('')
print('Performing groupby on Pandas DataFrame')
pgroup = pdf.groupby(by='col2')
for name, group in pgroup:
    print('')
    print(f'Group: {name}')
    print(group.head(5))


print(' ')
print(' ')


ddf = dd.from_pandas(data=pdf, npartitions=1)
print('*************  Dask DataFrame')
print(ddf.head(5))

print('')
print('Performing groupby on Dask DataFrame')
dgroup = ddf.groupby(by='col2')
for name, group in dgroup:
    print('')
    print(f'Group: {name}')
    print(group.head(5))

我希望dask数据框能够提供与Pandas结果相同的groupby结果.但是，我收到以下输出和错误

I would have expected the dask dataframe to provide the same groupby result as the Pandas results. However, I received the following output and error

*************  Pandas DataFrame
   col1     col2  col3
0     1    apple    34
1     1  bananna    12
2     1   orange     1
3     2    apple    36
4     2  bananna    22

Performing groupby on Pandas DataFrame

Group: apple
   col1   col2  col3
0     1  apple    34
3     2  apple    36
6     3  apple    22

Group: bananna
   col1     col2  col3
1     1  bananna    12
4     2  bananna    22
7     3  bananna    16

Group: orange
   col1    col2  col3
2     1  orange     1
5     2  orange     6
8     3  orange     4


*************  Dask DataFrame
   col1     col2  col3
0     1    apple    34
1     1  bananna    12
2     1   orange     1
3     2    apple    36
4     2  bananna    22

Performing groupby on Dask DataFrame
Traceback (most recent call last):
  File "C:\Users\Craig\source\repos\cevans3098\MarketData_preProcessor\module1.py", line 37, in <module>
    for name, group in dgroup:
  File "F:\anaconda3\lib\site-packages\dask\dataframe\groupby.py", line 1525, in __getitem__
    g._meta = g._meta[key]
  File "F:\anaconda3\lib\site-packages\pandas\core\base.py", line 275, in __getitem__
    raise KeyError("Column not found: {key}".format(key=key))
KeyError: 'Column not found: 0'

推荐答案

DataFrameGroupBy .__ iter __ 尚未为Dask Dataframe实现:

DataFrameGroupBy.__iter__ isn't implemented for Dask Dataframe yet: https://github.com/dask/dask/issues/5124

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