Using ouvrirpyxl to read fichier from mémoire

[ForumBot]

I downloaded a google-spreadsheet as an object in python.

How can I use openpyxl use the workbook without having it to save to disk first?

I know that xlrd can do this by:

```
book = xlrd.open_workbook(file_contents=downloaded_spreadsheet.read())

```

with "downloaded_spreadsheet" being my downloaded xlsx-file as an object.

Instead of xlrd, I want to use openpyxl because of better xlsx-support(I read).

I'm using this so far...

```
#!/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 = "[email protected]" # (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...
#i.e. being able to read the cell-colordata..

```

I hope anyone can help because I'm struggling for months to get the color-data from given cell in google-spreadsheet. (I know the google-api doesn't support it..)

[ForumBot]

In the docs for `load_workbook` it says:

```
#:param filename: the path to open or a file-like object

```

..so it was capable of it all the time. It reads a path or takes a file-like object.
I only had to convert my file-like object returned by `urlopen`, to a `bytestream` with:

```
from io import BytesIO
wb = load_workbook(filename=BytesIO(input_excel.read()))

```

and I can read every piece of data in my Google-spreadsheet.