在Python中在 pandas 中实现R标度功能? [英] implementing R scale function in pandas in Python?

问题描述

在熊猫中，R的scale函数的有效等效项是什么?例如

What is the efficient equivalent of R's scale function in pandas? E.g.

newdf <- scale(df)

用熊猫写的?使用transform是否有一种优雅的方式?

written in pandas? Is there an elegant way using transform?

推荐答案

缩放在机器学习任务中非常常见，因此它是在scikit-learn的preprocessing模块中实现的.您可以将pandas DataFrame传递给其scale方法.

Scaling is very common in machine learning tasks, so it is implemented in scikit-learn's preprocessing module. You can pass pandas DataFrame to its scale method.

唯一的问题"是返回的对象不再是DataFrame，而是一个numpy数组；如果您仍然要将其传递给机器学习模型(例如SVM或逻辑回归)，通常这不是真正的问题.如果要保留DataFrame，则需要一些解决方法:

The only "problem" is that the returned object is no longer a DataFrame, but a numpy array; which is usually not a real issue if you want to pass it to a machine learning model anyway (e.g. SVM or logistic regression). If you want to keep the DataFrame, it would require some workaround:

from sklearn.preprocessing import scale
from pandas import DataFrame

newdf = DataFrame(scale(df), index=df.index, columns=df.columns)

另请参见此处.

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