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?
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,
