truncating a pandas multindex at a given level
Question:
Say I have a pandas multi-index like so
var_0 var_1
instances timepoints
0 1 1 4
2 2 5
3 3 6
4 5 8
1 1 1 4
2 2 55
3 3 6
4 3 6
2 1 1 42
2 2 5
3 3 6
How do I truncate it so for every instance I only have the first n timepoints? eg.2
var_0 var_1
instances timepoints
0 1 1 4
2 2 5
1 1 1 4
2 2 55
2 1 1 42
2 2 5
Answers:
Assuming multi-index df is df
df_new = df.groupby(level=0).head(2)
print(df_new)
#Haven’t tested…it should work..pls, Let me knwo if it doesn’t work
Say I have a pandas multi-index like so
var_0 var_1
instances timepoints
0 1 1 4
2 2 5
3 3 6
4 5 8
1 1 1 4
2 2 55
3 3 6
4 3 6
2 1 1 42
2 2 5
3 3 6
How do I truncate it so for every instance I only have the first n timepoints? eg.2
var_0 var_1
instances timepoints
0 1 1 4
2 2 5
1 1 1 4
2 2 55
2 1 1 42
2 2 5
Assuming multi-index df is df
df_new = df.groupby(level=0).head(2)
print(df_new)
#Haven’t tested…it should work..pls, Let me knwo if it doesn’t work