Load CSV to Pandas MultiIndex DataFrame

Question

I have a 719mb CSV file that looks like:

from, to, dep, freq, arr, code, mode   (header row)
RGBOXFD,RGBPADTON,127,0,27,99999,2
RGBOXFD,RGBPADTON,127,0,33,99         


        

Answer 1

You could use pd.read_csv:

>>> df = pd.read_csv("test_data2.csv", index_col=[0,1], skipinitialspace=True)
>>> df
                       dep  freq   arr   code  mode
from       to                                      
RGBOXFD    RGBPADTON   127     0    27  99999     2
           RGBPADTON   127     0    33  99999     2
           RGBRDLEY    127     0  1425  99999     2
           RGBCHOLSEY  127     0    52  99999     2
           RGBMDNHEAD  127     0    91  99999     2
RGBDIDCOTP RGBPADTON   127     0    46  99999     2
           RGBPADTON   127     0     3  99999     2
           RGBCHOLSEY  127     0    61  99999     2
           RGBRDLEY    127     0  1430  99999     2
           RGBPADTON   127     0   115  99999     2

where I've used skipinitialspace=True to get rid of those annoying spaces in the header row.