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Tag: parsing

Parse text with uncertain number of fields

I have a file (~50,000 lines) text.txt as below, which contains some gene info from five individuals (AB, BB, CA, DD, GG). The t in the file is a tab seperator. There are also a lot of info that are not useful in the file, and I would like to clean it up. So What I need is to extract

Proper way to handle ambiguous tokens in PLY

I am implementing an existing scripting language in part as a toy project and in part so that I can write my own implementation of the program that uses the language. One of the issues I’m running into is that I have a few constructs that overlap in terms of specification but are more clear when used: T…

Pandas Reading csv file with ” in the data

I want to parse CSV file but the data look like in the below. While using separator as ,” it does not distribute file correctly to the columns. Is there any way to ignore ” or escaping with regex? 3,”Gunnar Nielsen Aaby”,”M”,24,NA,NA,”Denmark”,”DEN” …

I cannot parse this xml file in python

I am trying to create an API connection and response is looking like below. I need to parse this data and turn it into a pd dataframe and/or create loop to find specific information belong to tags. Below is the code i try to run but it returns with empty list, and it looks not iterable. Also it is not