https://github.com/pyexcel/django-excel

http://pythonhosted.org/Flask-Excel/

CSV:

http://www.cnblogs.com/haoshine/p/5695760.html

excel:

http://www.cnblogs.com/junyiningyuan/p/4680998.html

####下载模块

def file_download(request):

cols = ['日期','总点击现金']

##    cols = request.GET['cols_select']

cols_str = ','.join(cols)

select_sql = "select top 10 %s from original_DG.dbo.消费信息 where 日期>='20170730'"%cols_str

conn = pymssql.connect(server='localhost',database='ZZ_DG',charset="utf8")

cur = conn.cursor()

cur.execute(select_sql)

temp_data = pd.DataFrame(cur.fetchall(),columns=cols)

conn.commit()

conn.close()

data = temp_data.values.tolist()

data.insert(0,temp_data.columns.tolist())

print(data)

##    sheet = excel.pe.Sheet(data)

sheet = excel.pe.Sheet(temp_data.values.tolist(),colnames=cols)

return excel.make_response(pyexcel_instance=sheet,file_type="csv",file_name="test")

####下载模块2

def file_download_test(request):

cols = ['日期','总点击现金']

cols_str = ','.join(cols)

select_sql = "select top 10 %s from original_DG.dbo.消费信息 where 日期>='20170730'"%cols_str

conn = pymssql.connect(server='localhost',database='ZZ_DG',charset="utf8")

cur = conn.cursor()

cur.execute(select_sql)

temp_data = pd.DataFrame(cur.fetchall(),columns=cols)##将list[tuple]转化为df

descriptions = cur.description

description_list = []

for description in descriptions:

description_list.append(description[0])

conn.commit()

conn.close()

data = temp_data.values.tolist()##将df转化为list[list]

response = HttpResponse(content_type='text/csv')

# 声明一个csv的响应

response['Content-Disposition'] = "attachment; filename='myname.csv'"

# csv的响应的编码格式声明

response.write(codecs.BOM_UTF8)

writer = csv.writer(response)

writer.writerow(description_list)##写入列名

for result in data:

writer.writerow(result)

response.close()

return response