a = [
{'name': 'Arsenal', 'manager': 'Mikel Arteta', 'url': 'https://site.com/clubs/1030/?from=c_london'},
{'name': 'Aston Villa', 'manager': 'Dean Smith', 'url': 'https://site.com/clubs/1040/'},
{'name': 'Brentford', 'manager': 'Thomas Frank', 'url': 'https://site.com/clubs/1050/?from=city_london'},
{'name': 'Brighton and Hove Albion', 'manager': 'Graham Potter', 'url': 'https://site.com/clubs/1020/'}
]
a = list(filter(lambda x:'?from' not in x['url'], a))
print(a)
# [{'name': 'Aston Villa', 'manager': 'Dean Smith', 'url': 'https://site.com/clubs/1040/'},
# {'name': 'Brighton and Hove Albion', 'manager': 'Graham Potter', 'url': 'https://site.com/clubs/1020/'}]
import os
import matplotlib.pyplot as plt
from matplotlib.pyplot import imshow
import cv2
import numpy
import pytesseract
os.environ['TESSDATA_PREFIX'] = r'C:/Program Files (x86)/Tesseract-OCR/tessdata'
TESS_PATH = r"C:/Program Files (x86)/Tesseract-OCR/tesseract.exe"
pytesseract.pytesseract.tesseract_cmd = TESS_PATH
IMAGE1 = '.\img\Screenshot_9.png'
IMAGE2 = '.\img\Screenshot_10.png'
IMAGE3 = '.\img\Screenshot_11.png'
IMAGE4 = '.\img\Screenshot_12.png'
def detect_color(color):
THRES = 10
if bool(color[2] - color[1] > THRES and color[2] - color[0] > THRES):
return 'red'
if bool(color[1] - color[2] > THRES and color[1] - color[0] > THRES):
return 'green'
if bool(color[0] - color[1] > THRES and color[0] - color[2] > THRES):
return 'blue'
return 'unknown'
plt.rcParams['figure.figsize'] = [15, 7]
f1,ax = plt.subplots(4,2)
for i,im in enumerate([IMAGE1, IMAGE2, IMAGE3, IMAGE4]):
image = cv2.imread(im)
average = image.mean(axis=0).mean(axis=0)
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
(thresh, bw) = cv2.threshold(gray, 127, 255, cv2.THRESH_BINARY)
print(pytesseract.image_to_string(bw).strip().ljust(60), detect_color(average))
ax[i][0].imshow(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))
fillcolor = numpy.full((3, 3, 3), average, dtype=numpy.ubyte)
ax[i][1].imshow(cv2.cvtColor(numpy.full((3, 3, 3), average, dtype=numpy.ubyte), cv2.COLOR_BGR2RGB))
Или нужен ИИ
pol = {
"history_money": "-11 часов",
"history_text": "НОМЕР: 79089688399 Абонет: Доступен"
}
rep = {
"recordsFiltered": 1,
}
rep['data'] = [pol]
print(rep)
print(rep['data'][0]['history_money'])
import json
print(json.dumps(rep, indent=4, ensure_ascii=False))
# {
# "recordsFiltered": 1,
# "data": [
# {
# "history_money": "-11 часов",
# "history_text": "НОМЕР: 79089688399 Абонет: Доступен"
# }
# ]
#}
import ast
data = '''[
[1, "Иван Иванович Иванов", "Иванов И.И."],
[2, "Макар Макарович Макаров", "Макароы М.М."]
]'''
res = ast.literal_eval(data)
# [[1, 'Иван Иванович Иванов', 'Иванов И.И.'], [2, 'Макар Макарович Макаров', 'Макароы М.М.']]
type(res)
# <class 'list'>
from functools import reduce
a = bytes([x for x in range(3)]) # байтовая строка для примера
row = reduce(lambda x,y: x + list(map(int, list('{:08b}'.format(y)))), a, [])
print('исходный массив байт: ', a)
print('массив бит: ', row)
# исходный массив байт: b'\x00\x01\x02'
# массив бит: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0]
Как это можно сделать и какие модули понадобиться