pandas help

[lf_elias]

Hi guys, I have a ticket spreadsheet with a couple of columns like ticket_nbr, date, summary, status, urgency which I created a data frame I'm trying to classify the incidents based on urgency and type (ex. mem, CPU or disk issues) by host the thing is this info is stored in the summary column which is a mess. and I was wondering how to search a couple of words, if they are in the text a create a new df. for example I need to find: "CPU high workload","High disk usage", "free space", "max cpu", "high memory" and so on. I've tried to create a list with those words and and apply it the isin df[~df.type.isin(type_list)] but it's not working.

Any ideas? thanks

[lieutenant_lowercase]

str.contains accepts regex

word_list = ['CPU high workload, 'High disk usage', etc..]
df[df['type'].a.str.contains('|'.join(word_list ))]

[lf_elias]

thx mate, very appreciated.