I wanna split a list into a list of sublists. Eg
amino = ['Met','Phe','Pro','Ala','Ser','Met','Ser','Gly','Gly','Met','Thr','Trp']
should result in
amino_split = [['Met','Phe','Pro','Ala','Ser'],['Met','Ser','Gly','Gly'],['Met','Thr','Trp']]
My first thought was to get all indices of 'Met'
and build range-like tuples [(0, 4), (5, 8), (9, 11)]
and then slice the list. But that seems like using a sledgehammer to crack a nut..
You can use itertools.groupby
:
import itertools
amino = ['Met','Phe','Pro','Ala','Ser','Met','Ser','Gly','Gly','Met','Thr','Trp']
final_vals = [list(b) for _, b in itertools.groupby(amino, key=lambda x:x == 'Met')]
last_data = [final_vals[i]+final_vals[i+1] for i in range(0, len(final_vals), 2)]
Output:
[['Met', 'Phe', 'Pro', 'Ala', 'Ser'], ['Met', 'Ser', 'Gly', 'Gly'], ['Met', 'Thr', 'Trp']]
Try this list comprehension:
w = []
[w.append([]) or w[-1].append(e) if 'Met' in e else w[-1].append(e) for e in amino]
Output (in w
):
[['Met', 'Phe', 'Pro', 'Ala', 'Ser'],
['Met', 'Ser', 'Gly', 'Gly'],
['Met', 'Thr', 'Trp']]
Below is one solution using reduce.
import functools
amino = ['Met','Phe','Pro','Ala','Ser','Met','Ser','Gly','Gly','Met','Thr','Trp']
print(functools.reduce(lambda pre, cur: pre.append([cur]) or pre if cur == 'Met' else pre[-1].append(cur) or pre, amino, []))
Output:
[['Met', 'Phe', 'Pro', 'Ala', 'Ser'], ['Met', 'Ser', 'Gly', 'Gly'], ['Met', 'Thr', 'Trp']]
[Finished in 0.204s]
You can use Pandas:
import pandas as pd
amino = ['Met','Phe','Pro','Ala','Ser','Met','Ser','Gly','Gly','Met','Thr','Trp']
s = pd.Series(amino)
s.groupby(s.eq('Met').cumsum()).apply(list).tolist()
Output:
[['Met', 'Phe', 'Pro', 'Ala', 'Ser'],
['Met', 'Ser', 'Gly', 'Gly'],
['Met', 'Thr', 'Trp']]
If range is fixed then you can normally use splicing to achieve your goal. ex; [amino[:5],amino[5:9],amino[9:12]]
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