计算数据框列中每个值的百分位数 [英] Calculate percentile for every value in a column of dataframe
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问题描述
我正在尝试从DataFrame x
计算列a
中每个值的百分位数.
I am trying to calculate percentile for every value in column a
from a DataFrame x
.
是否有更好的方式编写以下代码?
Is there a better way to write the following piece of code?
x["pcta"] = [stats.percentileofscore(x["a"].values, i)
for i in x["a"].values]
我希望看到更好的性能.
I would like to see better performance.
推荐答案
It seems like you want Series.rank()
:
x.loc[:, 'pcta'] = x.rank(pct=True) # will be in decimal form
性能:
import scipy.stats as scs
%timeit [scs.percentileofscore(x["a"].values, i) for i in x["a"].values]
1000 loops, best of 3: 877 µs per loop
%timeit x.rank(pct=True)
10000 loops, best of 3: 107 µs per loop
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