epi.txt
OBS ID PERIOD TMT Y0 AGE COUNT
1 1 1 0 11 31 5
2 1 2 0 11 31 3
3 1 3 0 11 31 3
4 1 4 0 11 31 3
5 2 1 0 11 30 3
6 2 2 0 11 30 5
7 2 3 0 11 30 3
8 2 4 0 11 30 3
9 3 1 0 6 25 2
10 3 2 0 6 25 4
epi = pandas.read_csv("./epi.datn.txt", sep=" ", index_col=True)
print(epi)
OBS PERIOD TMT Y0 AGE COUNT
ID
1 1 1 0 11 31 5
1 2 2 0 11 31 3
1 3 3 0 11 31 3
1 4 4 0 11 31 3
2 5 1 0 11 30 3
2 6 2 0 11 30 5
2 7 3 0 11 30 3
2 8 4 0 11 30 3
3 9 1 0 6 25 2
3 10 2 0 6 25 4
I had some code that used False to disable reading indexes from the data, and was expecting True to be the opposite. Instead it read the second column, because True == 1 in python.
I think that True should be explicitly handled, because this behaviour is counterintuitive given that False is meaningful. False is not the same as index_col=0, after all.
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