Python 3.x学习四 之 将Excel导出为json

1. 目标Excel表

【注】
1. 工作表名字将作为json中每个工作表数据的根对象名称
2. 工作表第一列将作为每行的根名字
3. 工作表第一行将作为每行对应值的key

 2. 实现代码excel2json

# -*- coding:utf-8 -*-

import xlrd
import json
import codecs

file_name = "data"
# 读取 Excel
wk = xlrd.open_workbook(file_name + ".xlsx")
# 获取所有工作表名称
sheet_names = wk.sheet_names()
# 拿到所有工作表
sheets = wk.sheets()
# 存储Excel中的所有数据
excel_data = {}


def run(sheet):
    sheet_data = {}
    # 第一列：id
    ids = sheet.col_values(0)
    # 第一行：键
    keys = sheet.row_values(0)
    # 行长度
    row_len = sheet.row_len(0)

    # 遍历行
    for row_num in range(1, sheet.nrows):
        _id = int(ids[row_num])
        sheet_data[_id] = {}
        # 遍历列
        for col_num in range(1, row_len):
            key = keys[col_num]
            value = sheet.row_values(row_num)[col_num]
            # 存row_num行col_num列对应的值
            sheet_data[_id][key] = value
    # 存传入表的所有数据
    excel_data[sheet.name] = sheet_data


# 遍历表
for i in range(len(sheets)):
    run(sheets[i])

# 将excel_data数据转化成json字符串，缩进为4
data = json.dumps(excel_data, indent=4)

# 将json字符串写入dame.json文件
with codecs.open(file_name + '.json', 'w', 'utf-8') as fir:
    fir.write(data)

3.生成的json文件

{
    "nicks": {
        "1": {
            "age": 11.0, 
            "name": "nick1"
        }, 
        "2": {
            "age": 12.0, 
            "name": "nick2"
        }, 
        "3": {
            "age": 13.0, 
            "name": "nick3"
        }, 
        "4": {
            "age": 14.0, 
            "name": "nick4"
        }, 
        "5": {
            "age": 15.0, 
            "name": "nick5"
        }, 
        "6": {
            "age": 16.0, 
            "name": "nick6"
        }, 
        "7": {
            "age": 17.0, 
            "name": "nick7"
        }
    }, 
    "judys": {
        "1": {
            "age": 11.0, 
            "name": "judy1"
        }, 
        "2": {
            "age": 12.0, 
            "name": "judy2"
        }, 
        "3": {
            "age": 13.0, 
            "name": "judy3"
        }, 
        "4": {
            "age": 14.0, 
            "name": "judy4"
        }, 
        "5": {
            "age": 15.0, 
            "name": "judy5"
        }, 
        "6": {
            "age": 16.0, 
            "name": "judy6"
        }, 
        "7": {
            "age": 17.0, 
            "name": "judy7"
        }
    }
}