pandas高级函数操作总结

 # 查看列的分位数

    
 import pandas as pd
    
 # set columns type
    
 my_df['col'] = my_df['col'].astype(np.float64)
    
  
    
 # computations for 4 quantiles : quartiles
    
 bins_col = pd.qcut(my_df['col'], 4)
    
 bins_col_label = pd.qcut(my_df['col'], 4).labels
    
    
    
    

 # 多重聚合（组函数）

    
 # columns settings
    
 grouped_on = 'col_0'  # ['col_0', 'col_2'] for multiple columns
    
 aggregated_column = 'col_1'
    
  
    
 ### Choice of aggregate functions
    
 ## On non-NA values in the group
    
 ## - numeric choice :: mean