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[英]How to perform a multiple groupby and transform count with a condition in pandas
[英]How to perform a groupby and transform count with a condition in pandas
我有以下 dataframe:
# Import pandas library
import pandas as pd
import numpy as np
# data
data = [['tom', 10,2,'c',100,'x'], ['tom',16 ,3,'a',100,'x'], ['tom', 22,2,'a',100,'x'],
['matt', 10,1,'c',100,'x'], ['matt', 15,5,'b',100,'x'], ['matt', 14,1,'b',100,'x']]
# Create the pandas DataFrame
df = pd.DataFrame(data, columns = ['Name', 'Attempts','Score','Category','Rating','Other'])
df['AttemptsbyRating'] = df.groupby(by=['Rating'])['Attempts'].transform('count')
df
然后我尝试创建额外的列 - 一个显示按评级分组的尝试计数(如上所示),然后尝试做另一个我想计算大于 1 的分数。我试过:
df['scoregreaterthan1'] = df[df.groupby(by=['Rating'])['Score'].transform('count')>1]
我得到一个ValueError: Wrong number of items passed 7, placement implies 1
基本上在上表中,我希望它每列显示 4 个(4 个分数大于 1)
任何帮助将非常感激! 谢谢
我们应该做
df['scoregreaterthan1'] = df['Score'].gt(1).groupby(df['Rating']).transform('sum')
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