pandas 带删除的熊猫随机样本
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Pandas random sample with remove
提问by RockJake28
I'm aware of DataFrame.sample(), but how can I do this and also remove the sample from the dataset? (Note: AFAIK this has nothing to do with sampling with replacement)
我知道DataFrame.sample()，但是我怎样才能做到这一点并从数据集中删除样本？（注意：AFAIK 这与带替换采样无关）
For example here is the essenceof what I want to achieve, this does not actually work:
例如这里是我想要实现的本质，这实际上不起作用：
len(df) # 1000
df_subset = df.sample(300)
len(df_subset) # 300
df = df.remove(df_subset)
len(df) # 700
回答by piRSquared
If your index is unique
如果您的索引是唯一的
df = df.drop(df_subset.index)
example
例子
df = pd.DataFrame(np.arange(10).reshape(-1, 2))
sample
样本
df_subset = df.sample(2)
df_subset
drop
降低
df.drop(df_subset.index)
回答by SerialDev
pandas random sample:
Pandas随机样本：
train=df.sample(frac=0.8,random_state=200)
test=df.drop(train.index)
