python读取excel自动化生成sql建表语句和java实体类字段

1、首先准备一个excel文件：

 

id	type	name
id	int	学号
name	string	姓名
age	int	年龄
sex	string	性别
weight	decimal(20,4)	体重
score	decimal(20,4)	分数

2、直接生成java字段和注释：

import pandas as pddf = pd.read_excel('test.xlsx', sheet_name='Sheet1')for i in range(len(df.values)):data_type = ''if df['type'][i] == 'bigint':data_type = "Long"elif df['type'][i] == 'int':data_type = "Integer"elif df['type'][i] == 'string':data_type = "String"elif df['type'][i] == 'decimal(20,4)':data_type = "Double"strs = "/**\n* " + df['name'][i] + "\n*/\n"str_entity = strs + 'private' + ' ' + data_type + ' ' + df['id'][i] + ';'print(str_entity)

3、生成建表语句：

import pandas as pddf = pd.read_excel('test.xlsx', sheet_name='Sheet1')str1 = 'create table student' + ' ' + '(' + '\n'
str2 = ")"
for i in range(len(df.values)):data_type = ''if df['type'][i] == 'bigint':data_type = "bigint(20)"elif df['type'][i] == 'int':data_type = "int(11)"elif df['type'][i] == 'string':data_type = "varchar(20)"elif df['type'][i] == 'decimal(20,4)':data_type = "decimal(20,4)"str = '`' + df['id'][i] + '`' + ' ' + data_type + ' ' + 'NOT NULL COMMENT' + ' ' + "'" + df['name'][i] + "'" + ','str1 = str1 + str + '\n'
# 删除末尾换行符和","
str1 = str1[:-2]
str1 = str1 + str2 + ';'
print(str1)

结果：

可以根据实际需求增加主键或其它约束。