如何获取不包括小于或大于特定值的行的平均值并最后添加新列，Python，Pandas
How to get an average of row excluding specific value less than or greater than and add new column at last, Python, Pandas
以下是我的输入数据框
>>data frame after getting avg
a b c d avg
0 1 4 7 8 5
1 3 4 5 6 4.5
2 6 8 2 9 6.25
3 2 9 5 6 5.5
Output required after adding criteria
>>
a b c d avg avg_criteria
0 1 4 7 8 5 7.5 (<=5)
1 3 4 5 6 4.5 5.5 (<=4.5)
2 6 8 2 9 6.25 8.5 (<=6.25)
3 2 9 5 6 5.5 7.5 (<=5.5)
> This is the code I have tried
读取文件
df_input_data = pd.DataFrame(pd.read_excel(file_path,header=2).dropna(axis=1, how= 'all'))
计算平均值后添加列
df_avg = df_input_data.assign(Avg=df_input_data.mean(axis=1, skipna=True))
条件
criteria = df_input_data.iloc[, :] >= df_avg.iloc[1][-1]
#创建输出数据框
df_output = df_input_data.assign(Avg_criteria= criteria)
I am unable to solve this issue. I have tried and googled it many times
据我了解，你可以尝试df.mask/df.where比较均值后再计算均值：
m=df.drop("avg",1)
m.where(m.ge(df['avg'],axis=0)).mean(1)
0 7.5
1 5.5
2 8.5
3 7.5
dtype: float64
print(df.assign(Avg_criteria=m.where(m.ge(df['avg'],axis=0)).mean(1)))
a b c d avg Avg_criteria
0 1 4 7 8 5.00 7.5
1 3 4 5 6 4.50 5.5
2 6 8 2 9 6.25 8.5
3 2 9 5 6 5.50 7.5
以下是我的输入数据框
>>data frame after getting avg
a b c d avg
0 1 4 7 8 5
1 3 4 5 6 4.5
2 6 8 2 9 6.25
3 2 9 5 6 5.5
Output required after adding criteria
>>
a b c d avg avg_criteria
0 1 4 7 8 5 7.5 (<=5)
1 3 4 5 6 4.5 5.5 (<=4.5)
2 6 8 2 9 6.25 8.5 (<=6.25)
3 2 9 5 6 5.5 7.5 (<=5.5)
> This is the code I have tried
读取文件
df_input_data = pd.DataFrame(pd.read_excel(file_path,header=2).dropna(axis=1, how= 'all'))
计算平均值后添加列
df_avg = df_input_data.assign(Avg=df_input_data.mean(axis=1, skipna=True))
条件
criteria = df_input_data.iloc[, :] >= df_avg.iloc[1][-1]
#创建输出数据框
df_output = df_input_data.assign(Avg_criteria= criteria)
I am unable to solve this issue. I have tried and googled it many times
据我了解，你可以尝试df.mask/df.where比较均值后再计算均值：
m=df.drop("avg",1)
m.where(m.ge(df['avg'],axis=0)).mean(1)
0 7.5
1 5.5
2 8.5
3 7.5
dtype: float64
print(df.assign(Avg_criteria=m.where(m.ge(df['avg'],axis=0)).mean(1)))
a b c d avg Avg_criteria
0 1 4 7 8 5.00 7.5
1 3 4 5 6 4.50 5.5
2 6 8 2 9 6.25 8.5
3 2 9 5 6 5.50 7.5