import os

import json

import time

path = './'

path_merges = './results_merges'

file_list = os.listdir(path)

json_list = []

data_list = []

out_time = time.strftime("%m_%d_%H_%M")

for file in file_list:

if file.endswith(".json"):

json_list.append(file)

print(json_list)

print(f"json文件数量：{len(json_list)}")

i = 1

for json_file in json_list:

json_path = os.path.join(path, json_file)

with open(json_path, 'r') as f:

locals()['json_data' + str(i)]= f.read()

locals()['data_' + str(i)] = json.loads(locals()['json_data' + str(i)].strip())

data_list = data_list + list(locals()['data_' + str(i)].items())

i += 1

data = dict(data_list)

json_data = json.dumps(data, ensure_ascii=False)

if not os.path.exists(path_merges):

os.mkdir(path_merges)

with open(os.path.join(path_merges, f'merges_{out_time}.json'),"w") as f1:

f1.write(json_data)

import turtle

t = turtle.Pen()

t.speed(0) #0:最快的 1：最慢的 5/10：比较快

t.width(3) #设置宽度

my_color = ("red","green","yellow","blue","purple")

for x in range(20):

t.goto(0,-(x-1)*20)

t.pendown()

t.color(my_color[x%len(my_color)]) #这样就可以不断的循环使用元组里的颜色

t.circle(x*20)

t.penup()

turtle.done()

获取方式有很多种，比如（1） 借助handler，是介绍最多的一种方法，但是用起来比较麻烦；（2）使用response headers的set_cookie；（3）使用response的cookies属性获取

在python3.6中安装openaxu;需要.下载numpy和opencv-python，根据已经安装的python版本号下载相对应的numpy和opencv_python。例如，python3.6是32位的，那么我就下载了相对应的opencv_python-3.4.1-cp36-cp36m-win32.whi和numpy-1.14.5+mkl-cp36-cp36m-win32.whl。如果python版本是64位的，就下载相对应的64位的numpy和opencv_python。下载完成后，按住win+R输入cmd进入命令行界面。将路径切换到已经下载的numpy和opencv_python的文件所在目录。然后输入pip install numpy-1.14.5+mK-cp36-cp36m-win32.whl和pip install opencv_进行安装