当在代码中按照条件设置 amount 列的值

当包含 M 时, 数值100000
当包含 X 时, 数值1000

想通过 np.where 来实现，结果出现占了服务器50%以上的内存
为什么呀？

 
 
 

  
  
  
import numpy as np
  
  
  
# df_split_desc['amount'] = np.where(df_split_desc['amount'].str.contains('M'),
  
  
  
# df_split_desc['amount'] * 1000000, x)
  
  
  
# df_split_desc['amount'] = np.where(df_split_desc['amount'].str.contains('K'),
  
  
  
# df_split_desc['amount'] * 10000, x)