How to combine two regex into one command in pandas [duplicate]-CodePudding

This is the first part of my code that detect specific pattern in the strings:

import pandas as pd
df = pd.DataFrame({'text':["Is it possible to apply [NUM] times","Is it possible to apply [NUM] time",
                           "Called [NUM] hour ago","waited [NUM] hours","waiting [NUM] minute",
                           "waiting [NUM] minutes?","Are you kidding me !!","Waiting?",
                           "I didn't like it!!"]})
df['available'] = df['text'].str.contains(r'\[NUM]\s*(?:hour|minute|time)s?\b|!|\?{2}', regex=True)

And this is the second part that detects specific words in the strings:

my_domain = ['refund', 'cancel','cancelled','wait time', 'change', 'real person', 'disconnected', 'seriously', 'charge', 'agent', 'issue']
df['available'] = df['text'].str.contains('|'.join(my_domain), regex=True)

But as Im doing it in two different line of code, some of the first part will be rewritten with the second part but I don't want that. I was wondering how can I combine them together so it will be applied on the whole text at once.

CodePudding user response：

You might need | or:

df['available'] = df['text'].str.contains(r'\[NUM]\s*(?:hour|minute|time)s?\b|!|\?{2}', regex=True) | df['text'].str.contains('|'.join(my_domain), regex=True)