Julia DataFrame中某列的累积总和 [英] Cumulative sum of a column in Julia DataFrame

问题描述

在Python Pandas中，如果我想使用现有列的累加总和来创建新列，则可以这样做:

In Python Pandas if I want to create a new column with the cumulative sum of an existing column I do:

df['cumulative_sum'] = df.scores.cumsum()

在朱莉娅(Julia)中做这件事的等效方式是什么?

What would be the equivalent way of doing this in Julia?

推荐答案

您可以使用Base方法cumsum计算向量的累积和，然后将其存储在数据帧的新列中:

You can use the Base method cumsum to calculate the cumulative sum of a vector, and then store that in a new column of the dataframe:

df[!, :cumulative_sum] = cumsum(df[!, :scores]) # the ! is to avoid copying

根据下面的@BogumiłKamiński的评论，您也可以这样做:

Per @Bogumił Kamiński's comment below, you can also do:

df.cumulative_sum = cumsum(df.scores)

这是更简洁的语法.

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