[英]Spliting a list into sublists based on an element containing a string
I know there is a simple solution but I can't seem to find it.我知道有一个简单的解决方案,但我似乎找不到。
I want to split a list based on an element just containing a string.我想根据仅包含字符串的元素拆分列表。
In this case "Store"在这种情况下,“商店”
from itertools import groupby
test_string = ['Store465', 'Steve', '145658', '125', 'Brad', '457958', '200', 'Store678', 'John', '30122', '898', '123', 'O', 'Joe', '36789', '123', 'U', ' 456']
# I've tried
test_string[:] = [x for x in test_string if "Store" not in x]
print(test_string)
# but that will just remove the Store elements
# ['Steve', '145658', '125', 'Brad', '457958', '200', 'John', '30122', '898', '123', 'O', 'Joe', '36789', '123', 'U', ' 456']
# and
test_result = [list(g) for k,g in groupby(test_string,lambda x:x if "Store" not in x) if not k]
# This creates an error.
#
# File "<input>", line 13
# test_result = [list(g) for k,g in groupby(test_string,lambda x:x if "Store" not in x) if not k]
# ^
# SyntaxError: invalid syntax
I've been on stackoverflow and google trying to find the correct syntax or process with no luck.我一直在使用 stackoverflow 和 google 试图找到正确的语法或过程,但没有成功。 My desired output would be
我想要的 output 是
[['Store465', 'Steve', '145658', '125', 'Brad', '457958', '200'], ['Store678', 'John', '30122', '898', '123', 'O', 'Joe', '36789', '123', 'U', ' 456']]
To split the lists by the occurrence of Store
in the list you could do something like this:要根据列表中
Store
的出现来拆分列表,您可以执行以下操作:
test_string = ['Store465', 'Steve', '145658', '125', 'Brad', '457958', '200', 'Store678', 'John', '30122', '898', '123', 'O', 'Joe', '36789', '123', 'U', ' 456']
test_loop = []
for item in test_string:
if 'Store' in item: # create a new list to store all of the elements after store mentioned inside of the outer list
test_loop.append([item])
else: # add elements after store into the last list and before the next mention of Store
test_loop[-1].append(item)
print(test_loop)
which gives:这使:
[['Store465', 'Steve', '145658', '125', 'Brad', '457958', '200'], ['Store678', 'John', '30122', '898', '123', 'O', 'Joe', '36789', '123', 'U', ' 456']]
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