从变量中随机选择
我想从“结果”变量中随机选择。 “结果”变量具有3个子类别的“ major_effect”，“ minor_effect”，“中等效应”。我需要选择每个2288。换句话说： 2288次要效果，2288主要影响和2288中等效果” 。我编写的代码如下：但是它不起作用。
selectedlist=["Major_effect","Minor_Effect","Moderate Effect"]
idx = []
for classname in selectedlist:
randomchoice = random.choices((df8[df8["outcome"] == classname]), k=2288).index.tolist()
idx.extend(selectedlist)
df8
KeyError：0
I want to randomly select from "outcome" variable. " outcome" variable has 3 sub category of "Major_effect","Minor_Effect","Moderate Effect". I need to select 2288 of each. in other word:
2288 minor effects, 2288 major effects and 2288 moderate effect"
. The codes i wrote is as below:but it didn't work.
selectedlist=["Major_effect","Minor_Effect","Moderate Effect"]
idx = []
for classname in selectedlist:
randomchoice = random.choices((df8[df8["outcome"] == classname]), k=2288).index.tolist()
idx.extend(selectedlist)
df8
KeyError: 0
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