import pandas as pd
 
dic1 = {'學(xué)號(hào)': [6812, 6952, 6905], '姓名': ['一', '二', '三'], '排名': [1, 6, 9]}
df = pd.DataFrame(dic1, index=range(0, 3))
df.to_csv('last.csv', index=False, encoding='gbk')

week1 = ['一', '二', '三', '四', '五', '六', '七']
weekSpend = [50, 40, 30, 60, 45, 55, 67]
day1 = ['m', 't', 'w', 'tu', 'f', 's', 'su']
daySpend = [10, 20, 30, 40, 10, 20, 22]
DF = {'weekName': week1, 'weekSpend': weekSpend, 'dayName': day1, 'daySpend': daySpend}
trydf = pd.DataFrame(DF)
trydf.to_csv('df1.csv', index=False, encoding='gbk', mode='a')

week1 = ['一', '二', '三', '四', '五', '六', '七']
weekSpend = [50, 40, 30, 60, 45, 55, 67]
day1 = ['m', 't', 'w', 'tu', 'f', 's', 'su']
daySpend = [10, 20, 30, 40, 10, 20, 22]
try2df1 = pd.DataFrame(week1)
try2df2 = pd.DataFrame(weekSpend)
try2df3 = pd.DataFrame(day1)
try2df4 = pd.DataFrame(daySpend)
try2df1.to_csv('df2.csv', index=False, encoding='gbk', mode='a')
try2df2.to_csv('df2.csv', index=False, encoding='gbk', mode='a')
try2df3.to_csv('df2.csv', index=False, encoding='gbk', mode='a')
try2df4.to_csv('df2.csv', index=False, encoding='gbk', mode='a')

pd1.to_csv('save.csv', encoding='gbk', index=False, header=None) # 里面有中文就用gbk

import re
import pandas as pd
 
with open('李連jie.txt', 'r', encoding='utf-8') as f:
    data_ = f.readlines()
save_list = []
 
 
def to_scv_():
    print(data_)
    temp_tup = []
    for i in data_:
        find_name_1 = re.findall('([a-zA-Z]+-\d+)\n', i)  # 匹配編號(hào)的行(只有編號(hào))
        if len(find_name_1):
            print(find_name_1)
            temp_tup.append(find_name_1[0])
            temp_tup.append('')  # 無名
        else:
            find_name_2 = re.findall('([a-zA-Z]+-\d+) (.*?)\n', i)  # 匹配名稱的行(匹配中文)(只有名稱)
            if len(find_name_2):
                print(find_name_2)
                temp_tup.append(find_name_2[0][0])
                temp_tup.append(find_name_2[0][1])
                # 順序不能反，因?yàn)?中也有中文，還有編號(hào)，所以2查詢在前
            else:
                find_name_3 = re.findall('([\u4e00-\u9fa5]+)\n', i)  # 匹配編號(hào) 名稱的行(編號(hào)，名稱都有)
                if len(find_name_3):
                    print(find_name_3)
                    temp_tup.append('')  # 無編號(hào)
                    temp_tup.append(find_name_3[0])
 
        magnet_ = re.findall('(magnet:.*?)\n', i)  # 匹配磁力
        if len(magnet_):
            temp_tup.append(magnet_[0])
            save_list.append(temp_tup)
            temp_tup = []  # 只有在追加完名稱，現(xiàn)在加完磁力才是一個(gè)完整的list，這時(shí)才清空
 
    print(save_list)
    for i in save_list:
        print(i)
 
    save_dic = ({'編號(hào)': row[0], '名稱': row[1], '磁力鏈接': row[2]} for row in save_list)
    pd1 = pd.DataFrame(save_dic)
    pd1.to_csv('mysave.csv', encoding='gbk', index=False, header=None)
 
 
to_scv_()