如何使这个不断变化的数据帧更快？

Question

list_nn = [k for k in list(df['job_keyword'].unique()) if not str(k).isdigit()]
i = 0
for  k in list_nn:
    df.loc[df.job_keyword == k ,'job_keyword'] = i
    df.loc[df.user_keyword == k , 'user_keyword'] = i
    i+=1

it's a loop through the data frame column and if its match with it change with number
it takes more than 3 minutes is there a way to make this faster?

it's look though the entire dataframe I want to make it faster

Answer 1

You can try something like the following:

df[df.job_keyword.isin(list_nn)] = df[df.job_keyword.isin(list_nn)].index
df[df.user_keyword.isin(list_nn)] = df[df.job_keyword.isin(list_nn)].index