python - 如何通过索引列表从快速数据框中选择数据？

我想基于索引列表从dask数据框中选择行。我怎样才能做到这一点？

示例:
假设我有以下dask数据框。

dict_ = {'A':[1,2,3,4,5,6,7], 'B':[2,3,4,5,6,7,8], 'index':['x1', 'a2', 'x3', 'c4', 'x5', 'y6', 'x7']}
pdf = pd.DataFrame(dict_)
pdf = pdf.set_index('index')
ddf = dask.dataframe.from_pandas(pdf, npartitions = 2)

此外，我有一个我感兴趣的索引列表，例如

indices_i_want_to_select = ['x1','x3', 'y6']

由此，我想生成一个仅包含indices_i_want_to_select中指定的行的dask数据框

最佳答案

编辑:dask现在支持在列表上查找:

ddf_selected = ddf.loc[indices_i_want_to_select]

以下应该仍然有效，但不再是必需的:

import pandas as pd
import dask.dataframe as dd

#generate example dataframe
pdf = pd.DataFrame(dict(A = [1,2,3,4,5], B = [6,7,8,9,0]), index=['i1', 'i2', 'i3', 4, 5])
ddf = dd.from_pandas(pdf, npartitions = 2)

#list of indices I want to select
l = ['i1', 4, 5]

#generate new dask dataframe containing only the specified indices
ddf_selected = ddf.map_partitions(lambda x: x[x.index.isin(l)], meta = ddf.dtypes)

关于python - 如何通过索引列表从快速数据框中选择数据？，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/38318136/