python中常见关于Excel表格读写操作

import csv
import codecs
# 创建一个csv文件，并填入内容
def load_csv():
  with open('a.csv','a') as file:
     f=csv.reader(file)
     print(list(f))   # 直接打印f，是一个object对象
  file.close()  # 关闭文件

def load_csv():
    header = {'title', 'content'} # 表头数据
    data1 = ['test1', 'test2']  # 单行数据
    data2 = [['test1', 'one'], ['test2', 'two']] # list数据
  with open('b.csv', 'w', newline='') as file:
      writer = csv.writer(file)
      writer.writerow(header)
      writer.writerow(data1)  # 写入单行
      writer.writerows(data2) # 写入多行

# 打印出来的数据是字典类型，表格的表头为键、每一行的值为值，值有几行就打印几个字典
def read_csv():
    with open('b.csv', 'r') as file:
        f = csv.DictReader(file)
        for i in f:
            print(i['title'], i['content'])

def load_csv():
    datas = {'title': '1', 'content': '测试test1'}
    f = codecs.open('b.csv', 'w', 'gbk')
    writer = csv.DictWriter(f, fieldnames=['title', 'content'])
    writer.writeheader()
    writer.writerow(datas)  # 写入一行
    writer.writerows(datas)  # 写入多行

# 创建一个excel表格
wb = openpyxl.Workbook()
# 给表格添加sheet名称
wb.create_sheet(index=0, title='test1')
# 保存表格
wb.save('test_openpyxl.xlsx')

# 获取微博热搜内容
def get_text():
    list_n = ['排行']
    list_r = ['热搜名']
    url = 'https://s.weibo.com/top/summary'
    header = {
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 '
                      '(KHTML, like Gecko) Chrome/81.0.4044.138 Safari/537.36'
    }
    response = requests.get(url=url, headers=header)
    if response.status_code == 200: #判断接口请求是否正确
        html = etree.HTML(requests.get(url, headers=header).text) # 构造XPath解析对象
        hot_search_name = html.xpath('//td[@class="td-02"]/a/text()')  # 热搜名 字符串列表
        hot_search_rank = html.xpath('//td[@class="td-01 ranktop"]/text()')  # 热搜排行
        hot_search_name_true = hot_search_name[1:]  # 只取热搜排行，不取置顶热搜
        for i in range(0, 10):
            s = hot_search_rank[i]  # 排行和热搜组合
            r = hot_search_name_true[i]
            list_n.append(s)
            list_r.append(r)
    else:
        print('wrong')
    return zip(list_n, list_r)

# 将微博文件内容到表格
def get_website_to_excel():
    result = get_text() # 微博内容结果
    wb = openpyxl.Workbook()
    sheet = wb.active  #获取初始的sheet
    count = 1
    for inner in result:
        sheet.cell(row=count, column=1).value = inner[0]
        sheet.cell(row=count, column=2).value = inner[1]
        count += 1
    wb.save('微博.xlsx') # 保存到当前目录下

def get_excel_content():
    # 打开工作簿
    lw = openpyxl.load_workbook('test_openpyxl.xlsx')
    # 选取表单
    sheet_name = lw.active
    # 获取第一行第一列的数据 A1
    #  ce = sheet_name.cell(row=1, column=1)
    #  print(ce.value)
    # 按行读取数据 去表头
    print(list(sheet_name.rows)[1:])
    for cases in list(sheet_name.rows)[1:]:
        rank = cases[0].value
        name = cases[1].value
        print(rank, name)

import xlrd
import xlwt

def get_excel():
    # 获取数据
    data = xlrd.open_workbook('微博.xlsx')
    # 获取sheet
    # table = data.sheet_by_name('test') # 通过sheet名称获取数据
    table = data.sheet_by_index(0)   # 通过sheet索引获取数据
    # 获取总行数
    rows = table.nrows
    # 获取总列数
    cols = table.ncols
    # 获取某个单元格的数据
    cell_value = table.cell(0, 1).value
    print(cell_value)
    # 获取excel表格所有数据
    for i in range(rows):
        for j in range(cols):
            print(table.cell(i, j).value)

def write_excel():
    data = [['title', 'content'], ['test1', 'test2']]
    # 创建excel
    wb = xlwt.Workbook()
    # 创建excel中的sheet
    ws = wb.add_sheet('test')
    for i in range(len(data)):
        for j in range(len(data[i])):
           ws.write(i, j, data[i][j])
    # ws.write(0, 0, 'hahah')
    wb.save('test.xls')