Python Forum

Hi,
I am learning python. I just saw this coding which is generating 2 datasets.I have a question. Can someone explain the part in "dataset1"? I believe it is a list comprehension.
Mainly I am not understanding what "for child in children" does?

import numpy as np
np.random.seed(10)

children=range(10)      
months=np.arange(13)  
dataset1=[ (month, np.dot(month,24.7) + np.random.normal(loc=0,scale=20))                       
    for month in months              
      for child in children]          

month_data=[element[0] for element in dataset1]    # Gets 1st column from data
weight_data=[element[1] for element in dataset1] 

Thanks,

Comprehensions can be unwound. Start at the end and work your way back to the assignment. Use the same process, but in reverse, to convert for loops to a comprehension.

for child in children:
    for month in months:
        dataset1.append(
            (month, np.dot(month, 24.7)+np.random.normal(loc=0, scale=20))
            )

(May-26-2020, 01:04 AM)asmfloyd Wrote: [ -> ]I am not understanding what "for child in children" does?

children is range object. by iterating over children, child value is changing from 0 to 9. It looks the purpose is to have 10 values in the dataset for each month value