切片Dask数据框

本文介绍了切片Dask数据框的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！ 问题描述

我有以下代码，希望在Dask数据帧上进行训练/测试拆分

I have the following code where I like to do a train/test split on a Dask dataframe

df = dd.read_csv(csv_filename, sep=',', encoding="latin-1", names=cols, header=0, dtype='str')

但是当我尝试对火车进行

But when I try to do slices like

for train, test in cv.split(X, y): df.fit(X[train], y[train])

它失败并显示错误

KeyError: '[11639 11641 11642 ..., 34997 34998 34999] not in index'

有任何想法吗？

推荐答案

Dask.dataframe不支持按行切片。如果您有合理的索引，它确实支持 loc 操作。

Dask.dataframe doesn't support row-wise slicing. It does support the loc operation if you have a sensible index.

但是在火车/测试拆分的情况下 random_split

However in your case of train/test splitting you will probably be better served by the random_split method.

train, test = df.random_split([0.80, 0.20])

您也可以采用多种方式进行拆分和合并

You could also make many splits and concat in different ways

splits = df.random_split([0.20, 0.20, 0.20, 0.20, 0.20]) for i in range(5): trains = [splits[j] for j in range(5) if j != i] train = dd.concat(trains, axis=0) test = splits[i]