python agg函数

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python agg函数

我的 dataframe ：

from random import random, randint

from pandas import DataFrame

t = DataFrame({"metasearch":["A","B","A","B","A","B","A","B"],

"market":["A","B","A","B","A","B","A","B"],

"bid":[random() for i in range(8)],

"clicks": [randint(0,10) for i in range(8)],

"country_code":["A","A","A","A","A","B","A","B"]})

我想为每个市场都适合LinearRegression,所以我：

1)组df-组= t.groupby(by =“ market”)

2)准备要适合模型的功能-

from sklearn.linear_model import LinearRegression

def group_fitter(group):

lr = LinearRegression()

X = group["bid"].fillna(0).values.reshape(-1,1)

y = group["clicks"].fillna(0)

lr.fit(X, y)

return lr.coef_[0] # THIS IS A SCALAR

3)创建一个新的系列,以市场为指数,以系数为值：

s = groups.transform(group_fitter)

但是第3步失败：KeyError ：(“ bid_cpc”,“在出价时出现”)