Reputation:
I like to tokenize a list using a list item as a delimiter.
Is there is a pythonic way to do this or do I have to write something on my own.
Data=['Label',23,'NORM','|','RESP',1.256,None,'|','','','|','RELV','','']
SubList = TokenizeList (Data,Delim='|')
printing SubList would result in
[ ['Label',23,'NORM'] , ['RESP',1.256,None] , ['',''] , ['RELV','',''] ]
Upvotes: 3
Views: 207
Reputation: 5785
Try this, which is simple and straight (Pythonic as well),
def tokenize_list(array, sep='|'):
result = []
_temp = []
for el in array:
if el == sep:
result.append(_temp)
_temp = []
else:
_temp.append(el)
if _temp: # Finally append list after for-loop, to store last vlaues present in _temp if exists.
result.append(_temp)
return result
Output:
>>> data = ['Label',23,'NORM','|','RESP',1.256,None,'|','','','|','RELV','','', '|']
>>> tokenize_list(data)
[['Label', 23, 'NORM'], ['RESP', 1.256, None], ['', ''], ['RELV', '', '']]
Upvotes: 1
Reputation: 26886
Try this:
def group_by_sep(items, sep='|'):
inner_list = []
for item in items:
if item == sep:
yield inner_list
inner_list = []
else:
inner_list.append(item)
if inner_list:
yield inner_list
Data=['Label',23,'NORM','|','RESP',1.256,None,'|','','','|','RELV','','','|','|','now','|']
SubList = list(group_by_sep(Data, '|'))
print(SubList)
# [['Label', 23, 'NORM'], ['RESP', 1.256, None], ['', ''], ['RELV', '', ''], [], ['now']]
Note that a itertools.groupby
approach can be used here, but it is not equivalent to the above and offers less control over the exact behavior:
import itertools
def group_by_sep2(items, sep='|'):
yield from (
list(g)
for k, g in itertools.groupby(items, key=lambda x: x == sep)
if not k)
SubList2 = list(group_by_sep2(Data, '|'))
print(SubList2)
# [['Label', 23, 'NORM'], ['RESP', 1.256, None], ['', ''], ['RELV', '', ''], ['now']]
It is missing the empty list
between two consecutive separators.
Additionally, it is not as efficient as the direct method from above:
%timeit list(group_by_sep(Data))
# 1000 loops, best of 3: 1.47 µs per loop
%timeit list(group_by_sep2(Data))
# 100 loops, best of 3: 4.01 µs per loop
%timeit list(group_by_sep(Data * 1000))
# 1000 loops, best of 3: 1.33 ms per loop
%timeit list(group_by_sep2(Data * 1000))
# 100 loops, best of 3: 2.83 ms per loop
%timeit list(group_by_sep(Data * 1000000))
# 1000 loops, best of 3: 1.67 s per loop
%timeit list(group_by_sep2(Data * 1000000))
# 100 loops, best of 3: 3.22 s per loop
And the benchmarks indicate that the direct approach is ~2x to ~3x faster.
(EDITED to write it all as generators and included more edge cases)
Upvotes: 2
Reputation: 15872
Yes, you can use itertools.groupby
:
>>> from itertools import groupby
>>> Data=['Label',23,'NORM','|','RESP',1.256,None,'|','','','|','RELV','','']
>>> [list(g) for k,g in groupby(Data,key=lambda x:x == '|') if not k]
[['Label', 23, 'NORM'], ['RESP', 1.256, None], ['', ''], ['RELV', '', '']]
You can make a function of course:
def splitList(sequence, delimiter):
return [list(g) for k, g in groupby(sequence, key = lambda x: x == delimiter) if not k]
>>> splitList(sequence = Data, delimiter = '|')
[['Label', 23, 'NORM'], ['RESP', 1.256, None], ['', ''], ['RELV', '', '']]
Upvotes: 3