Order CSV with two digit numbers

I’m trying to create a leaderboard for a game, where after the game has been played, the python script accesses a CSV file (not ordered) and prints out the top 5 people with the highest score. Python seems to do this fine with single-digit numbers, but I can’t get it to work with 2 digit numbers. Here is the code: and here is the output: (I just used placeholder names for now) and here is the original leaderboard file: How do I get it to order the numbers properly? Answer I suggest simply reading the file with file.readlines() and then

Write a CSV file asynchronously in Python

I am writing a CSV file with the following function: However, as there is no await allowed over writerows method, there are no rows being written into the CSV file. How to resolve this issue? Is there any workaround available? Thank you. Entire code can be found here. Answer In my opinion it’s better not to try to use the aiofiles with the csv module and run the synchronous code using loop.run_in_executor and wait it asynchronously like below:

Why does read_csv skiprows value need to be lower than it should be in this case?

I have a log file (Text.TXT in this case): To read in this log file into pandas and ignore all the header info I would use skiprows up to line 16 like so: But this produces EmptyDataError as it is skipping past where the data is starting. To make this work I’ve had to use it on line 11: My question is if the data doesn’t start until row 17, in this case, why do I need to request a skiprows up to row 11? Answer One work around is to use comment parameter of pd.read_csv Or From docs under

Split CSV values on single row into individual rows

I have a Python script that outputs a text file with thousands of random filenames in a comma separated list, all on a single row. I want to take each value in the list and put it into its own row in a new CSV file. I’ve tried some variations of awk with no success. What’s the best way to move these values into their own rows? Answer With GNU sed: Or, for a portable alternative,

Python: Write list of lists to CSV

In my python script I’m having a list that has the following structure: and so on. I want to write this list to csv file in a way that every element is in separate row and every string in one element is in separate column. So I want to end up with the following result in csv file: Currently I have a code like this: and the result I get is that every element of the list is written to column A, so it looks like this: How can I achieve splitting each string to separate column in csv file?

How to use spacy to do Name Entity recognition on CSV file

I have tried so many things to do name entity recognition on a column in my csv file, i tried ne_chunk but i am unable to get the result of my ne_chunk in columns like so Instead after using this code, i got this error So, i am wondering if i could do this using spaCy which is another thing that i have no clue about. Can anyone help? Answer It seems that you are checking the chunks incorrectly, that’s why you get a key error. I’m guessing a little about what you want to do, but this creates new

Python csv: Split column to columns and then to rows by delimiter

I have a column in a csv file which contains person’s details in this format: Actual csv format: I want to split them in a new csv file like this: Splitting details: Split Row Delimiter : ‘ O&-‘ where & can be only ‘K’ or ‘Z’ Split Column Delimiter : ‘:’ ,columns number in new csv file is fixed (One Team can contain many members, there is no upper limit) UPDATE By using this code provided by @Adirio I get only the last member from fields with multiple members: print results: row[‘Members’] -> OK-1:name1:sunrmae2:ID No:id1233123:male:note12 OK-10:name2:sunrame2:Passport No:asda3243242:female:note2 OZ-1:nma3:surname3:Passport No:asd213131:other:note 56