Read csv file with many named column labels with pandas
You can use the header, index_col and tupleize_cols arguments of read_csv:
In [1]: df = pd.read_csv('foo.csv', header=[0, 1, 2], index_col=[0, 1], tupleize_cols=False, sep='\s*,\s+')Note: in 0.13 tupelize=False will be the default, so you won't need to use that.
There's a little bit of hacking required to get out the column level names:
In [2]: df.columns.names = df.columns[0]In [3]: del df[df.columns[0]]In [4]: dfOut[4]:colLabel:name dog bat OstrichcolLabel:genus Canis Chiroptera Struthio,colLabel:activity diurnal nocturnal diurnalday time of dayMonday morning 17 5 2 day 63 0 34 night 21 68 1Friday day 72 0 34