+ 1

Creating Bank Reconciliation from 2 csv files

Hello. I'm a student and want to automate the process of bank recon from to csv files using pandas library. How is that?

30th Jan 2020, 1:07 AM
Christian Jayson Bajaro
Christian Jayson Bajaro - avatar
7 ответов
+ 5
Removed mfd mark as Christian Jayson Bajaro elaborated on his question 👌
31st Jan 2020, 5:28 PM
Tashi N
Tashi N - avatar
+ 1
Why don't you put some of that sample data into a python code in code playground, so the task would be more clear. A couple of lines would be enough. You can normally import a csv file with pandas. Here you cannot upload the csv, but you can simulate the same if you create dataframe from python lists.
31st Jan 2020, 4:43 PM
Tibor Santa
Tibor Santa - avatar
+ 1
Christian Jayson Bajaro I imagine the data may look like this. https://code.sololearn.com/cPC7dYHPvT3n/?ref=app I will try this exercise too, I am a data wrangler myself too, so I am interested in learning more about pandas. The answer should be somewhere here: https://pandas.pydata.org/pandas-docs/stable/user_guide/merging.html
31st Jan 2020, 7:31 PM
Tibor Santa
Tibor Santa - avatar
0
it is fine and a great idea
30th Jan 2020, 9:31 AM
Abhay Singh
Abhay Singh - avatar
0
Hi, Do you have any specific question about this? If you just want to announce your project, please use your personal activity feed. Good luck with your endeavour, sounds interesting!
30th Jan 2020, 7:27 PM
Tibor Santa
Tibor Santa - avatar
0
Hello 😊 sorry for that. What I mean was How to do that? Hehe. I'm just almost 3 weeks in python and started with an exercise to extract a specific data from a large string. Hehe. And I made it because of Pandas Library. Now the next exercise is having 2 csv files (Cashbook and Bank Records). Maybe my 1st question now is: How to match the check numbers from the 2 csv files and get the specific row with the matched check numbers then differenciate the amounts of the 2 matched datas? also, only the rows with check numbers will be use to match because there are NoneType or None in Check Number column where I extracted using RegEx and Pandas. Thank you in advance 😊
31st Jan 2020, 3:09 PM
Christian Jayson Bajaro
Christian Jayson Bajaro - avatar
0
Hello there. I already did merge it. Thanks for sharing. My problem now is their data types. They are in object types even the amounts. Whenever I try to get the difference, it causes TypeError. Cannot minus 'str' to 'str' or cannot convert object to float (if I try to convert to float)
11th Feb 2020, 5:04 AM
Christian Jayson Bajaro
Christian Jayson Bajaro - avatar