USING LIKE inside pandas.query()

Question

I have been using Pandas for more than 3 months and I have an fair idea about the dataframes accessing and querying etc.

I have got an requirement wherein I wanted t

Answer 1

Super late to this post, but for anyone that comes across it. You can use boolean indexing by making your search criteria based on a string method check str.contains.

Example:

dataframe[dataframe.summary.str.contains('Windows Failed Login', case=False)]

In the code above, the snippet inside the brackets refers to the summary column of the dataframe and uses the .str.contains method to search for 'Windows Failed Login' within every value of that Series. Case sensitive can be set to true or false. This will return boolean index which is then used to return the dataframe your looking for. You can use .fillna() with this in the brackets as well if you run into any Nan errors.

Hope this helps!