使用openpyxl从内存中读取文件
我下载了一个谷歌电子表格作为对象在Python中。
我怎样才能使用openpyxl使用工作簿，而不必先保存到磁盘？
我知道xlrd可以做到这一点：
book = xlrd.open_workbook(file_contents=downloaded_spreadsheet.read()) 将“downloaded_spreadsheet”作为我下载的xlsx文件作为对象。
而不是xlrd，我想使用openpyxl，因为更好的xlsx-support（我读过）。
我使用这个到目前为止…
#!/usr/bin/python import openpyxl import xlrd # which to use..? import re, urllib, urllib2 class Spreadsheet(object): def __init__(self, key): super(Spreadsheet, self).__init__() self.key = key class Client(object): def __init__(self, email, password): super(Client, self).__init__() self.email = email self.password = password def _get_auth_token(self, email, password, source, service): url = "https://www.google.com/accounts/ClientLogin" params = { "Email": email, "Passwd": password, "service": service, "accountType": "HOSTED_OR_GOOGLE", "source": source } req = urllib2.Request(url, urllib.urlencode(params)) return re.findall(r"Auth=(.*)", urllib2.urlopen(req).read())[0] def get_auth_token(self): source = type(self).__name__ return self._get_auth_token(self.email, self.password, source, service="wise") def download(self, spreadsheet, gid=0, format="xls"): url_format = "https://spreadsheets.google.com/feeds/download/spreadsheets/Export?key=%s&exportFormat=%s&gid=%i" headers = { "Authorization": "GoogleLogin auth=" + self.get_auth_token(), "GData-Version": "3.0" } req = urllib2.Request(url_format % (spreadsheet.key, format, gid), headers=headers) return urllib2.urlopen(req) if __name__ == "__main__": email = "........@gmail.com" # (your email here) password = '.....' spreadsheet_id = "......" # (spreadsheet id here) # Create client and spreadsheet objects gs = Client(email, password) ss = Spreadsheet(spreadsheet_id) # Request a file-like object containing the spreadsheet's contents downloaded_spreadsheet = gs.download(ss) # book = xlrd.open_workbook(file_contents=downloaded_spreadsheet.read(), formatting_info=True) #It works.. alas xlrd doesn't support the xlsx-funcionality that i want... #ie being able to read the cell-colordata..
我希望任何人都可以提供帮助，因为我一直在努力从谷歌电子表格中获得给定单元格的颜色数据。 （我知道谷歌的API不支持它..）
在load_workbook文档中说：
#:param filename: the path to open or a file-like object
所以它一直都是有能力的。 它读取一个path或采取类似文件的对象。 我只需要将由urlopen返回的类文件对象转换为具有以下内容的bytestream ：
from io import BytesIO wb = load_workbook(filename=BytesIO(input_excel.read()))
我可以阅读Google电子表格中的每一条数据。
实际上就是：
file = open('path/to/file.xlsx', 'rb') wb = openpyxl.load_workbook(filename=file)
它会工作。 不需要BytesIO和东西。