I’m looking for an algorithm to create a new column based on values from other columns AND respecting pre-established rules. Here’s an example: artificial data The goal is to create a new_column based on the values of col_1, col_2, and col_3. For that, the rules are: If the value ‘Yes’ is present in any of the columns, the value of
Tag: data-wrangling
Can Pandas output inferred schema for a CSV file?
Is there a method I can use to output the inferred schema on a large CSV using pandas? In addition, any way to have it tell me with that type if it is nullable/blank based off the CSV? File is about …
Most efficient way to combine large Pandas DataFrames based on multiple column values
I am processing information in several Pandas DataFrames with 10,000+ rows. I have… df1, student information Class Number Student ID 0 13530159 201733468 1 13530159 201736271 2 …