真正复制 pandas 系列 [英] make a truly deep copy of a pandas Series

问题描述

我有一个pd.Series，每个单元格都是一个列表. 我想对其做一个深拷贝，但是它看起来像

I have a pd.Series with each cell being a list. I want to make a deep copy of it, however it seems like pd.Series.copy only creates a shallow copy of the values (even though the deep arg is True be default).

示例

import pandas as pd

sr = pd.Series([list(range(3)), list(range(3))])
sr_c = sr.copy()
sr[0].append(4)

复制的pd.Series sr_c正在转换为

0   [0, 1, 2, 4]
1   [0, 1, 2]

我做到了，而且奏效了:

I did this and it worked:

from copy import deepcopy
sr_c = sr_c.apply(deepcopy)

这似乎是一种hack，有没有更好的方法呢?

however this seems like a hack, is there a better way to do it ?

推荐答案

深度复制python对象的标准 hacky 方法应该可以使用.也就是说，使用pickle.

The standard hacky way of deep-copying python objects should work. That is, using pickle.

import pickle
sr2 = pickle.loads(pickle.dumps(sr))

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