I have this data frame:
index 0
idxaa1cx1 some_text
idxbb2cx2 some_text
idxcc3cx3 some_text
I want to split the index into a multi index like so:
idx_1 idx_2 0
idxa a1cx1 some_text
idxb b2cx2 some_text
idxc c3cx3 some_text
I've tried this:
df.index = pd.MultiIndex.from_tuples([tuple(idx.split(idx[:3][-5:])) for idx in df.index])
which returns:
idx_1 idx_2 0
a1cx1 some_text
b2cx2 some_text
c3cx3 some_text
but the idx_1 column is blank. And I've also tried:
df.index = pd.MultiIndex.from_tuples([tuple({idx[:3]:idx[-5:]}) for idx in df.index])
which only returns:
idx_1 0
idxa some_text
idxb some_text
idxc some_text
and doesn't return the dictionary's "value". My question is how can I split the index by an arbitrary length and get multiple columns?
You can use pd.MultiIndex.from_arrays
:
df.index = pd.MultiIndex.from_arrays([df.index.str[:4], df.index.str[-5:]])
df.rename_axis(("idx_1", "idx_2"))
The minimalist approach
df.index = [df.index.str[:4], df.index.str[-5:]]
df
0
index index
idxa a1cx1 some_text
idxb b2cx2 some_text
idxc c3cx3 some_text
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