Python для data science /Васильев Ю, 2023 - Мой конспект

# Реализация очереди (стр.43)
from collections import deque
my_list = list(range(10, 21))
queue = deque(my_list)  # queue - англ. очередь
 
for i in range(21, 30):
    queue.append(i)
    print(queue.popleft(), '-', list(queue))
    
for _ in range(5):
    print(queue.popleft(), '-', list(queue)))

# Стек
stak = list(range(10, 21))
    
while stak:
    print(stak.pop(), '-', stak)

task_list = ['Pay bills', 'Tidy up', 'Walk the dog','Go to the ******cy','Cook dinner']
tm_list = ['8:00', '8:30', '9:30', '10:00', '10:30']
sched_list = [(tm, task) for tm, task in zip(tm_list, task_list)]
sched_list

import numpy as np
import pandas as pd 
 
np.random.seed(0)
df = pd.DataFrame(np.random.randint (1, 3, (6, 4)), columns=list('ABCD'))
print(df)

df.groupby('A')[['C','D']].prod() # sum, mean, median, var, std, count, max, min, prod

df.agg({'A': ['sum', 'mean'], 'B' : ['std']})

agg_func = {
    'B': ['sum', 'mean', 'median', 'min', 'max', 'std', 'var', 'prod']}
# agg_func = {'B': ['describe']}
 
df.groupby(['A']).agg(agg_func).round(2)