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Tag: search

Increasing performance for search pandas df, Count occurrences of starting string grouped by unique identifier

Current dataframe is as follows: Expected Output: Question: How do I get the counts of the ‘starting string’, only when uniqueID is occurring for the first time with increased performance. Thus far, I’m doing with a simple for loop of the data and checking with if/else statements. But this is incredibly slow with a large dataframe. I’m curious if there

What would be the regex pattern for the following?

I have multiple regex strings in format:- Example: A=’AB.224-QW-2018′ B=’AB.876-5-LS-2018′ C=’AB.26-LS-18′ D=’AB-123-6-LS-2017′ E=’IA-Mb-22L-AB.224-QW-2018-IA-Mb-22L’ F=’ZX-ss-12L-AB-123-6-LS-2017-BC-22′ G=’AB.224-2018′ H=”AB.224/QW/2018′ I=”AB/224/2018′ J=’AB-10-HDB-231-NCLT-1-2017 AD-42-HH-2019′ K=”AB-1-HDB-NCLT-1-2016 AD-42-HH-2020′ L=’AB-1-HDB-NCLT-1-2016/(AD-42-HH-2020) I want a regex pattern to get the output for the numbers that occur after the alphabets(that appear at the start) as well as the first alphabets. And at last years that are mentioned at last. There are

Efficiently search a long list of lists

I have a long list of hexahedral point coordinates, for example: Each row defines a hexahedron cell, and by iterating over each cell, I extract the defining faces of the cell (6 faces), and add each face to a list processed_faces All of this is fine, but because some cells are sharing the same face, I needed a way to

Django Filter for Model function

I am trying to filter through a TextField where I have stripped it of its HTML tags. However, it gives me this error: “Cannot resolve keyword ‘search’ into field.” Here is my code: models.py views.py Is there a way to do this? Answer I just found a way to get what I’m aiming at. All I have to do is

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