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Tag: parsing

Nice file parsing required

I need to process a file like this and I need to transform it to a dict : I don’t succeed in any fast and elegant way to deal Answer Let me first specify what I have understood from your requirement. You input is a csv file, with optionaly quoted fields: ok the csv module can parse it The first

Pyparsing recursive type definition in DSL

I am parsing a domain specific language which has several type definitions. Primitive types have been relatively straight-forward to parse, but moving on to the complex types in the DSL have proven more challenging. I am looking for a strategy to recursively match a definition that can contain a reference to itself. For example, the map data type can look

XML file parsing with Python

I am having trouble parsing data in this manner for an XML file which is converted to a CSV: For the first column, I would like to get the general name tag (recordingSystem, Ports, etc) and concatenate it with the subNames in the row tags (closedFileCount, processedFileCount, etc) The tag where the subName is located keeps changing, it could be

Get rid of default text

I am trying to parse a user’s event descriptions after obtaining access to their google calendar through the google calendar API. When I input the description into my program, I want to get rid of default (and useless) text such as Zoom meeting invitations. If the following below is the description string How can I parse it so that only

How can I make this grammar unambiguous?

I’m trying to write a parser for a simple language: When I run it, I get the following error: I understand that this is happening because, if we imagine that the parser was built without an error, and then wrote parser.parse(‘foo’), both arithmetic_expr and boolean_expr would be “correct” derivations. Also, as you can see I’m using LALR which is a

Taking multiple prices on single page BS4

I’m creating an to help me learn but is also useful to me. I want to be able to parse multiple prices from (https://www.watchfinder.co.uk/search?q=114060&orderby=AgeNewToOld) one page, convert them to numbers and average them. The page will change so it could have 3 prices one day and 20 the next. The part i am struggling with is separating the prices so

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