将列作为副本添加到 Pandas DataFrame

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时间:2020-09-13 21:08:41  来源:igfitidea点击:

Adding a column to a Pandas DataFrame as a copy

pythonpandas

提问by Roger

I have a pandas DataFrame called originaland I would like to add a new column to it and save the resultant DataFrame in a variable called modified. How do I do that?

我有一个名为original 的Pandas DataFrame ,我想向其中添加一个新列,并将生成的 DataFrame 保存在名为modified的变量中。我怎么做?

import pandas as pd
import numpy as np
original = pd.DataFrame(np.random.randn(5, 2), columns=['a', 'b'])

The solution given in the very similarly named questions here is to do something like:

此处名称非常相似的问题中给出的解决方案是执行以下操作:

original['c'] = original['b'].abs()

This does not work for me because it modifies the originalDataFrame. A potential solution is to use join, but that does not allow me to name it nor does it allow it be filled with a scalar values:

这对我不起作用,因为它修改了原始DataFrame。一个潜在的解决方案是使用 join,但这不允许我命名它,也不允许它填充标量值:

modified = original.join(original['b'].abs(),rsuffix='_abs')

The aim is to able to add the column in a single line without temp variables to achieve the following effect:

目的是能够在没有临时变量的情况下将列添加到一行中,以实现以下效果:

modified = original.some_op() \
    .a_different_op() \
    .add_a_column() \ # <- the step I can't figure out
    .another_op() \
    .final_op()

回答by wirrbel