# t test or anova

I have a pandas data frame of the form:

r1    r2    r3    r4    r5

0    1    12    0    4
1    1    2    9    2
32   5    0    0    0
12   14   3    1    23
0    2    43    5    2
9    3    5    1    1
0    0    0    0    1
1    0    0    0    0


And I want to check if any column: r1, r2, r3, r4, r5 significantly differs from any of the other. Should I do a t test or an anova? And how would I set it up for the computation?