Pandas Data Manipulation with Missing Values: Understanding the Discrepancy in Inter Group Length

Based on the provided code and output, there is no explicit “None” value being returned. The code appears to be performing some data manipulation and categorization tasks using Pandas DataFrames and numpy’s nan values.

The main purpose of this code seems to be grouping the ‘inter_1’ column in the first DataFrame based on certain conditions from another list (’n_list’) and a corresponding ‘cat_list’ for categorizing those groups. The results are stored in a new list called ‘inter_group’.

Since there is no explicit statement like return None or any similar construct that returns None, it’s likely that this code snippet is part of a larger program or function, and the purpose or return value of this specific block might be defined elsewhere.

However, based on the provided output:

# prints 436
# prints 418
# prints 418  

We can see that the length of ‘inter_group’ (436) is less than the length of both ‘df1[‘inter_1’]’ and ‘inter_1’ (418). This discrepancy might be due to missing values in either list.


Last modified on 2024-10-28