无法使用dask删除列或切片数据帧？ [英] Can't drop columns or slice dataframe using dask?

问题描述

我尝试使用dask而不是pandas，因为我有2.6gb的csv文件。
我加载了它，想删除一列。但似乎尚未实施drop方法
df.drop（‘column’）或切片df [：，：-1]

I am trying to use dask instead of pandas since I have 2.6gb csv file. I load it and I want to drop a column. but it seems that neither the drop method df.drop('column') or slicing df[ : , :-1]

。是这种情况还是我只是想念一些东西？

is implemented yet. Is this the case or am I just missing something ?

推荐答案

我们在drop 方法：//github.com/ContinuumIO/dask/pull/546 rel = noreferrer>此PR 。从dask 0.7.0起可用。

We implemented the drop method in this PR. This is available as of dask 0.7.0.

In [1]: import pandas as pd

In [2]: df = pd.DataFrame({'x': [1, 2, 3], 'y': [3, 2, 1]})

In [3]: import dask.dataframe as dd

In [4]: ddf = dd.from_pandas(df, npartitions=2)

In [5]: ddf.drop('y', axis=1).compute()
Out[5]: 
   x
0  1
1  2
2  3

以前，还可以使用带有列名的切片；当然，如果您有很多列，这可能就没有那么吸引人了。

Previously one could also have used slicing with column names; though of course this can be less attractive if you have many columns.

In [6]: ddf[['x']].compute()
Out[6]: 
   x
0  1
1  2
2  3

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