Files
2025-08-05 09:19:34 +08:00

53 lines
1.6 KiB
Python

from file_define import FileReader, TextFileReader, JsonFileReader
from data_define import Record
from pyecharts.charts import Bar
from pyecharts.options import *
from pyecharts.globals import ThemeType
from pymysql import Connection
text_file_reader = TextFileReader("2011年1月销售数据.txt")
text_file_reader1 = JsonFileReader("2011年2月销售数据JSON.txt")
jan_data: list[Record] = text_file_reader.read_data()
feb_data: list[Record] = text_file_reader1.read_data()
# 将2个月数据合并为1个list存储
all_data: list[Record] = jan_data + feb_data
# # 开始进行数据计算
# data_dict = {}
# for record in all_data:
# if record.data in data_dict.keys():
# # 当前已有记录,与旧记录累加
# data_dict[record.data] += record.money
# else:
# data_dict[record.data] = record.money
#
# # 可视化图彪开发
# bar = Bar(init_opts=InitOpts(theme=ThemeType.LIGHT)) # 柱状图
# bar.add_xaxis(list(data_dict.keys()))
# bar.add_yaxis("销售额",list(data_dict.values()),label_opts=LabelOpts(is_show=False))
# bar.set_global_opts(
# title_opts=TitleOpts(title="每日销售额")
# )
# bar.render("每日销售额.html")
# 将数据写入到数据库中
conn = Connection(
host="localhost",
port=3306,
user="root",
password="123123",
autocommit=True
)
cursur = conn.cursor()
conn.select_db("py_sql")
for record in all_data:
sql=f"insert into orders(order_date,order_id,money,province) " \
f"values('{record.data}','{record.order_id}',{record.money},'{record.province}')"
cursur.execute(sql)
conn.close()