pandas写入文件

• 通过list写入excel

list1 = [['张三','男','未婚',20],['李四','男','已婚',28],['小红','女','未婚',18],['小芳','女','已婚',25]]
output = open('data.xls','w',encoding='gbk')
output.write('name	gender	status	age
')
for i in range(len(list1)):
    for j in range(len(list1[i])):
        output.write(str(list1[i][j]))    #write函数不能写int类型的参数，所以使用str()转化
        output.write('	')   #相当于Tab一下，换一个单元格
    output.write('
')       #写完一行立马换行
output.close()

• 通过list写入txt

list1 = [['张三','男','未婚',20],['李四','男','已婚',28],['小红','女','未婚',18],['小芳','女','已婚',25]]
output = open('data.txt','w',encoding='gbk')
output.write('name,gender,status,age
')
for row in list1:
    rowtxt = '{},	{},	{},	{}'.format(row[0],row[1],row[2],row[3])
    output.write(rowtxt)
    output.write('
')
output.close()

• 写入csv

            with open('file.csv', 'w', newline='', ) as csvfile:
                writer = csv.writer(csvfile)
                for row in result_list:
                    writer.writerow(row)

• 使用pandas写入excel

df_data = pd.DataFrame(result_list)
df_data.to_excel("flie.xls")  指定第几页

writer = pd.ExcelWriter(config.analysis_dir)      #多页
df1 = pd.DataFrame(result_list)
df2 = pd.DataFrame(label_data_detail)
df1.to_excel(writer, 'df1')
df2.to_excel(writer, 'df2')
writer.save()