robotIdentificationTopic/text_analysis/linshi.py

#coding:utf8
import json
import pymysql
import traceback
import pandas as pd

# content_db = pymysql.connect(host='172.26.28.30', user='crawl', passwd='crawl123', db='test', port=3306,
#                              charset='utf8mb4', cursorclass=pymysql.cursors.DictCursor)
# def to_mysql(sql,values):
#     content_db.ping(reconnect=True)
#     cursor = content_db.cursor()
#     cursor.execute(sql,values)
#     content_db.commit()
#     cursor.close()
#
#
# def write_data_mysql():
#     data=pd.read_csv('reply_file.csv',keep_default_na=False)
#     for i in data.index:
#         # line_key=list(data.loc[i].keys())
#         line_value=data.loc[i].values
#         # line_str=([str(x) for x in line_value])
#         line_str=[]
#         for index,x in enumerate(line_value):
#             line_str.append(x)
#         line_str=[0]+line_str
#         sql = "insert into reply_file "+"values ("+ ','.join(['%s'] * len(line_str)) + ")"
#         # print(line_str)
#         # print(sql)
#         values=tuple(line_str)
#         # print(values)
#         to_mysql(sql,values)
#         print('第%s条数据写入mysql'%(i+1))
#
# write_data_mysql()
# content_db.close()

# a=[{"name":"ll","age":23},{"name":"ii","age":21}]
# b=pd.DataFrame(a)
# 创建示例 DataFrame
df = pd.DataFrame({'id': [1, 2, 3], 'name': ['John', 'Alice', 'Bob'],'age':['23','34','45']})

# df1={1:['John','23'],2:['Alice','34'],3:['Bob','45']}
# result_dict = df.set_index('id')['name'].to_dict()
df1 = df.set_index('id')[['name', 'age']].T.to_dict()

print(df1)