Python实现将字典内容保存到Excel文件的四种方法

import pandas as pd
dct = {'Name': ['Li', 'Wang', 'Zhang'],
        'Age': [17, 16, 18],
     'Origin': ['BeiJing', 'TianJin', 'ShangHai']}

# 字典转 DataFrame
df = pd.DataFrame(dct)

# DataFrame 写入 Excel
df.to_excel('output.xlsx', index=False)

from openpyxl import Workbook
dct = {'Name': ['Li', 'Wang', 'Zhang'],
        'Age': [17, 16, 18],
     'Origin': ['BeiJing', 'TianJin', 'ShangHai']}

wb = Workbook()
ws = wb.active

# 将字典的键作为标题行
ws.append(list(dct.keys()))

# 将字典的值作为数据行添加
for row in zip(*dct.values()):
    ws.append(row)

wb.save('output.xlsx')

import xlsxwriter
dct = {'Name': ['Li', 'Wang', 'Zhang'],
        'Age': [17, 16, 18],
     'Origin': ['BeiJing', 'TianJin', 'ShangHai']}

# 创建 Excel 文件，并添加一个工作表
workbook = xlsxwriter.Workbook('output.xlsx')
worksheet = workbook.add_worksheet()

# 起始位置
row, col = 0, 0

# 写入键值
for key in dct.keys():
    worksheet.write(row, col, key)
    col += 1

for i, key in enumerate(dct.keys()):
    for j, item in enumerate(dct[key]):
        worksheet.write(j+1, i, item)

workbook.close()

import csv
dct = {'Name': ['Li', 'Wang', 'Zhang'],
        'Age': [17, 16, 18],
     'Origin': ['BeiJing', 'TianJin', 'ShangHai']}

with open('output.csv', 'w', newline='') as csvfile:
    writer = csv.DictWriter(csvfile, fieldnames=dct.keys(), dialect='excel')
    writer.writeheader()
    writer.writerows([{'Name': name, 'Age': age, 'Origin': origin} for name, age, origin in zip(dct['Name'], dct['Age'], dct['Origin'])])