如何重命名Dask数据框的索引 [英] How to rename the index of a Dask Dataframe
问题描述
我该如何在一个轻快的数据帧上重命名索引?我这样尝试过
How would I go about renaming the index on a dask dataframe? I tried it like so
df.index.name = 'foo'
但是重新检查df.index.name显示它仍然是以前的样子.
but rechecking df.index.name shows it still being whatever it was previously.
推荐答案
这似乎不是一种有效的方法,所以如果有更直接的方法,我也不会感到惊讶.
This does not seem like an efficient way to do it, so I wouldn't be surprised if there is something more direct.
d.index.name以'foo'开头;
d.index.name starts off as 'foo';
def f(df, name):
df.index.name = name
return df
d.map_partitions(f, 'pow')
现在输出的索引名称为"pow".如果使用线程调度程序完成此操作,我想您还就地更改了d
的索引名(在这种情况下,您实际上并不需要map_partitions
的输出).
The output now has index name of 'pow'. If this is done with the threaded scheduler, I think you also change the index name of d
in-place (in which case you don't really need the output of map_partitions
).
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