How to make pandas str.contains faster
@furas thanks for the contribution.
It worked.
This is what I used
df[field].apply(lambda x: True if any (word in x for word in pattern.lower().split('|')) else False)
How can I make python loop faster through DataFrame columns with 1 million rows and search for a pattern of strings? Should return True or False
pattern_example = "home|property|house|apartment"
This is what I have right now
df[field].str.contains(pattern_example.lower(), case = False, regex=False)
This is what I am trying to implement
df[field].apply(lambda x: True if pattern_example.lower() in x else False)
However, it cannot recognize the OR(|) operator and searchers for full "home|property|house|apartment"
Any suggestions?