在给定条件下替换 Pandas 系列中的值 [英] Replace values in Pandas Series Given Condition

问题描述

这是一个微不足道的问题，我只是无法找到明确的答案:

This is a trivial question that I just have not been able to find a clear answer on:

我有一个系列对象:

random = pd.Series(np.random.randint(10, 10)))

我想用 0 替换所有大于 1 的值.我该怎么做?我试过了Random.replace() 没有成功，我知道你可以在 DataFrame 中轻松做到这一点，但我如何在 Series 对象中做到这一点?

I want to replace all values greater than 1 with 0. How do I do this? I've tried Random.replace() without success and I know you can do this easily in a DataFrame, but how do I do it in a Series object?

推荐答案

为什么不尝试设置 s[s >1] = 0

import pandas as pd
import numpy as np

# your data
# ============================
np.random.seed(0)
s = pd.Series(np.random.randn(10))
s

0    1.7641
1    0.4002
2    0.9787
3    2.2409
4    1.8676
5   -0.9773
6    0.9501
7   -0.1514
8   -0.1032
9    0.4106
dtype: float64


# ============================
s[s>1] = 0
s

0    0.0000
1    0.4002
2    0.9787
3    0.0000
4    0.0000
5   -0.9773
6    0.9501
7   -0.1514
8   -0.1032
9    0.4106
dtype: float64

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