Xander017

def cmp(x):
    x = x.split('x')
    return int(x[0]) * int(x[1])

sorted(SIZES, key=cmp)

SIZES = ('1920x1080', '1600x1200', '1400x1050', '1280x1024', '1280x960', '1152x864', '1024x768',
             '3840x2400', '3840x2160', '3840x1200', '2560x1600', '2560x1440', '2560x1080', '2560x1024',
             '2048x1152', '1920x1200', '1680x1050', '1600x900', '1440x900', '1280x800', '1280x720', '2160x3840',
             '1440x2560', '1366x768', '1080x1920', '1024x600', '960x544', '800x1280', '800x600', '720x1280',
             '540x960', '480x854', '480x800', '400x480', '360x640', '320x480', '320x240', '240x400', '240x320',
             '2732x2732', '2048x2048', '1024x1024', '750x1334', '640x1136', '640x960', '1280x900')

dct = {int(size.split('x')[0]): size for size in SIZES}
dct_sorted = sorted(dct.items())

for size in dct_sorted:
    print(size[1])

with open('test.csv') as f:
    a=f.readlines()

b=[x for x in a if x.startswith('200;')]
print(b)

from PIL import Image

img = Image.open("img.jpg")

w5 = (img.size[0] // 100) * 5
h5 = (img.size[1] // 100) * 5

croped = img.crop(
    (
        w5,
        h5,
        img.size[0] - w5,
        img.size[1] - h5
    )
)

croped.save("croped.jpg")

from PIL import Image
from PIL import ImageOps

img = Image.open("img.jpg")
w5 = (img.size[0] // 100) * 5

croped = ImageOps.crop(img, w5)
croped.save("croped.jpg")

c.select('...')
row = c.fetchone()  # (35.14,)
rowitem = row[0] # 35.14

>>> text = ['1', '12', '123', '11', '1', '12', '12']
>>> from collections import Counter
>>> text_counts = Counter(text)
>>> text_counts
Counter({'12': 3, '1': 2, '11': 1, '123': 1})
>>> top_two = text_counts.most_common(2)
>>> top_two
[('12', 3), ('1', 2)]

from datetime import datetime, date
from dateutil.relativedelta import relativedelta
birthday_date = datetime.strptime("01.02.1990", "%d.%m.%Y").date()
if birthday_date > date(1990, 1, 1) and birthday_date < date(1995 1, 31):
    birthday_date += relativedelta(years=146)