python - Python：如何在Pandas列中缩短整数？(Python: how to shorten integers in a pandas column?)

Question

I have a pandas dataframe like the following

(我有一个像下面的熊猫数据框)

df 
        T
0  1573119508850
1  1573119511513
2  1573119516821
3  1573119520387

I would like to shorten the number and approximate them with an approximation like the following:

(我想缩短数字，并用类似以下的近似值：)

df 
        T
0  1573119509
1  1573119512
2  1573119517
3  1573119520

  ask by emax translate from so

Answer 1

I think you need divide by 1000 , round and last convert to integers:

(我认为您需要除以1000 ，四舍五入并最后转换为整数：)

df['T'] = df['T'].div(1000).round().astype(int)
print (df)
            T
0  1573119509
1  1573119512
2  1573119517
3  1573119520