Pandas Dataframe to_csv格式输出

Question

I can't find a way to control the output of each column dataframe. From the following code:

df.to_csv('dfnc.txt', 
        sep=' ', 
        float_format='%.8f',
        cols=['cycle','passs','ip','lon','lat'],
        index=False)

I'm getting this:

1.00000000 1.00000000 543.00000000 23.15881870 -64.70485950
1.00000000 1.00000000 544.00000000 23.10356160 -64.64569150
1.00000000 1.00000000 545.00000000 23.04852510 -64.58650550
1.00000000 1.00000000 546.00000000 22.99370760 -64.52730150
1.00000000 1.00000000 547.00000000 22.93910770 -64.46807990

And I want this:

1 1 543 23.15881870 -64.70485950
1 1 544 23.10356160 -64.64569150
1 1 545 23.04852510 -64.58650550
1 1 546 22.99370760 -64.52730150
1 1 547 22.93910770 -64.46807990

Many thanks for the help.

Answer 1

我想你可以第一次只是转换到第三columns到int64写入CSV文件（如果你检查之前.types ，我相信他们都是float64 ）：

df[['cycle', 'passs', 'ip']]=df[['cycle', 'passs', 'ip']].astype(int64)