How to split this string 开发者_高级运维where __ is the delimiter
MATCHES__STRING
To get an output of ['MATCHES', 'STRING']?
You can use the str.split method: string.split('__')
>>> "MATCHES__STRING".split("__")
['MATCHES', 'STRING']
You may be interested in the csv module, which is designed for comma-separated files but can be easily modified to use a custom delimiter.
import csv
csv.register_dialect( "myDialect", delimiter = "__", <other-options> )
lines = [ "MATCHES__STRING" ]
for row in csv.reader( lines ):
...
When you have two or more elements in the string (in the example below there are three), then you can use a comma to separate these items:
date, time, event_name = ev.get_text(separator='@').split("@")
After this line of code, the three variables will have values from three parts of the variable ev.
So, if the variable ev contains this string and we apply separator @:
Sa., 23. März@19:00@Klavier + Orchester: SPEZIAL
Then, after the split operation the variable
datewill have valueSa., 23. Märztimewill have value19:00event_namewill have valueKlavier + Orchester: SPEZIAL
For Python 3.8, you actually don't need the get_text method, you can just go with ev.split("@"), as a matter of fact the get_text method is throwing an att. error.
So if you have a string variable, for example:
filename = 'file/foo/bar/fox'
You can just split that into different variables with comas as suggested in the above comment but with a correction:
W, X, Y, Z = filename.split('_')
W = 'file'
X = 'foo'
Y = 'bar'
Z = 'fox'
Besides split and rsplit, there is partition/rpartition. It separates string once, but the way question was asked, it may apply as well.
Example:
>>> "MATCHES__STRING".partition("__")
('MATCHES', '__', 'STRING')
>>> "MATCHES__STRING".partition("__")[::2]
('MATCHES', 'STRING')
And a bit faster then split("_",1):
$ python -m timeit "'validate_field_name'.split('_', 1)[-1]"
2000000 loops, best of 5: 136 nsec per loop
$ python -m timeit "'validate_field_name'.partition('_')[-1]"
2000000 loops, best of 5: 108 nsec per loop
Timeit lines are based on this answer
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