[英]pandas series cumulative argmax
What is an efficient way to get a series of the cumulative argmax of another series? 什么是获得另一系列的一系列累加argmax的有效方法?
The way I figured is 我想的是
import pandas as pd
def cumargmax(series):
return pd.expanding_apply(series, lambda x: x.argmax())
This works, but I'm wondering if there is a more appropriate way. 这行得通,但我想知道是否有更合适的方法。
You don't need cumargmax function. 您不需要cumargmax函数。 Instead, you could do this in one line, 相反,您可以一行完成此操作,
pd.expanding_apply(series, lambda x: x.argmax())
pandas 0.18 is deprecating expanding_apply() module level funtions. pandas 0.18弃用expanding_apply()模块级别的功能。 They are replacing with the following method call, 它们将替换为以下方法调用,
series.expanding().apply(lambda x: x.argmax())
Check out documentation at http://pandas.pydata.org/pandas-docs/stable/computation.html 在http://pandas.pydata.org/pandas-docs/stable/computation.html上查看文档。
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