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gdata.spreadsheet.service
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Data and other attributes inherited from gdata.service.Query: __dict__ = dictproxy object>: dictionary for instance variables (if defined). __weakref__ = attribute '__weakref__' of 'Query' objects>: list of weak references to the object (if defined). I knew I need to use oauth2 to be able to do that. I tried to modify my script to this post http://stackoverflow.com/questions/16026286/using-oauth2-with-service-account-on-gdata-in-python. Then I got this error. Traceback (most recent call last): File "/Applications/PyCharm.app/helpers/pydev/pydevd.py", line. So you've decided to use the Google Data Python client library to write an application using one of the many Google Data services... To do that, modify your PYTHONPATH environment variable to include a directory which contains the gdata and atom directories for the Google Data Python client library. Read and modify worksheets and cell data in Google Sheets. com.google.gdata.client.spreadsheet. Class SpreadsheetService. java.lang.Object extended by com.google.gdata.client.Service extended by com.google.gdata.client.GoogleService extended by com.google.gdata.client.spreadsheet.SpreadsheetService. All Implemented Interfaces: AuthTokenFactory.TokenListener. def gdata.spreadsheet.service.SpreadsheetsService.__init__, (, self,. email = None ,. password = None ,. source = None ,. server = 'spreadsheets.google.com' ,. additional_headers = None ,. kwargs. ). Hi, I am trying to connect to spreadsheet from python script but its giving some error as below. : No module named gdata.spreadsheet.service args = ('No module named gdata.spreadsheet.service',) message = 'No module named gdata.spreadsheet.service' Can anybody. Here's a variation that writes an OAuth 2.0 Bearer auth header directly to the request and allows you to continue to use the older gdata.spreadsheet.service.SpreadsheetsService style client code: import httplib2 # Do OAuth2 stuff to create credentials object from oauth2client.file import Storage from oauth2client.client import. Gets a spreadsheets feed or a specific entry if a key is defined Args: key: string (optional) The spreadsheet key defined in /ccc?key= query: DocumentQuery (optional) Query parameters Returns: If there is no key, then a SpreadsheetsSpreadsheetsFeed. If there is a key, then a SpreadsheetsSpreadsheet. Once you have the Python GData library installed, you can try some code samples, using the Python interpreter, to teach yourself how it works. First here are the obligatory imports: import gdata.spreadsheet.service. Let's then declare some convenience functions and variables: GoogleUser = "[your Google email address]". LabJack.com """ #general imports from google's spreadsheetExample.py program try: from xml.etree import ElementTree except ImportError: from elementtree import ElementTree import gdata.spreadsheet.service import gdata.service import atom.service import gdata.spreadsheet import atom import getopt. You can get a list of spreadsheets for a particular user by using the getSpreadsheetFeed() method of the Spreadsheets service. The service will return a. Users who want to provide Gdata feeds should not put any data other than column headers in the first row of a worksheet. The list feed contains all rows after the first row. Installation¶. Requirements: Python 2.5+. Install the latest version using pip or easy_install : pip install gdata. Or to upgrade, use: pip install -U gdata. Alternatively, visit our downloads page, and download the latest version, unpack, and in the source directory, run: python setup.py install. The reason for writing this is to provide insight into a few gotcha's along the way. 1. Go to https://code.google.com/p/gdata-python-client/downloads/list and unzip the client and install. python setup.py install. 2. Create your python script and import the python module. import gdata.spreadsheet.service. 3. Data descriptors inherited from gdata.service.Query: __dict__: dictionary for instance variables (if defined). __weakref__: list of weak references to the object (if defined). alt: The feed query's alt parameter. author: The feed query's author parameter. max_results: The feed query's max-results parameter. orderby: The feed. In this tutorial, we'll use Anton Burnashev's excellent gspread Python package to read, write, and delete data from a Google Spreadsheet with just a few lines of code. Google Drive API and Service Accounts. At the risk of being Captain Obvious, you're going to need a spreadsheet if you want to follow along. So here's an miniature example script to write to a Google Spreadsheet from a Python script: #!/usr/bin/python. import time import gdata.spreadsheet.service. email = 'youraccount@gmail.com' password = 'yourpassword' weight = '180' # Find this value in the url with 'key=XXX' and copy XXX below @Test public void getRowsForSpreadsheetEntry() throws Exception { //Given SpreadsheetService service = mock(SpreadsheetService.class); String url = "file://url"; GdataSpreadSheetReader spreadsheet = spy(new GdataSpreadSheetReader(service, url)); WorksheetEntry worksheetEntry = mock(WorksheetEntry.class);. First here are the obligatory imports: import gdata.spreadsheet.service Let's then declare some convenience functions and variables: GoogleUser = "[your Google email address]" GooglePW = "[your password]" Define the following convenience function: def GSheetService(user,pwd): gd_client = gdata.spreadsheet.service. The Google data Python client library makes it easy to interact with Google services through the Google Data APIs. This library provides data models and service modules for the the following Google data services: - Google Calendar data API - Google Contacts data API - Google Spreadsheets data API - Google Document. from __future__ import division from __future__ import print_function from __future__ import with_statement # import gdata.calendar.service email = 'alex.heger@gmail.com'. import gdata.service import atom.service import gdata.spreadsheet import atom import string def get_client(): gd_client = gdata.spreadsheet.service. ... usr/lib/python2.7/site-packages/gdata/spreadsheet/__init__.py; usr/lib/python2.7/site-packages/gdata/spreadsheet/__init__.pyc; usr/lib/python2.7/site-packages/gdata/spreadsheet/service.py; usr/lib/python2.7/site-packages/gdata/spreadsheet/service.pyc; usr/lib/python2.7/site-packages/gdata/spreadsheet/text_db.py. google-gdata - this library is used to talk to the older GData-based APIs such as the documents list API and the spreadsheet API; google-api-dotnet-client - this library is newer and can be used to talk to newer APIs such as the Google Drive API. The latter library has built-in support for using a service. ReplaceCellValue(rowIx, self.tracker_col_ix, ss_issue_val) File "/home/mtennant/trunk/chromite/lib/gdata_lib.py", line 553, in ReplaceCellValue self.gd_client.UpdateCell(rowIx, colIx, val, self.ss_key, self.ws_key) File "/usr/lib64/python2.6/site-packages/gdata/spreadsheet/service.py", line 270, in UpdateCell entry = self. Python code to import Google Spreadsheet objects. Save below text as GoogleSpreadsheet.py, then in your python code import GoogleSpreadsheet. try: from xml.etree import ElementTree except ImportError: from elementtree import ElementTree import gdata.spreadsheet.service import gdata.service. PIPE, shell="True") output = proc.stdout.read() output = output.replace("n","") #get rid of new line character (may not be necessary) return output def main(): spr_client = gdata.spreadsheet.service.SpreadsheetsService() spr_client.email = email spr_client.password = password spr_client.source = 'My IP. It appears to be an install question to which this is the answer: python setup.py uses distutils which doesn't support install_requires. setuptools does, but also distribute (its successor) and pip (which basically uses either setuptool/distribute) do. But you actually have to use them. I.e. call setuptools through. Google Spreadsheets Data API -- simple interface to read/write rows/cells, manage sheets. 6 min - Uploaded by Google DevelopersWatch Jeffrey Scudder demonstrate his GData Python Client Library extension that makes it easy. ... I/O Utilities · JDBC Extensions · JDBC Pools · JPA Implementations · JSON Libraries · JVM Languages · Logging Frameworks · Logging Bridges · Mail Clients · Maven Plugins · Mocking · Object/Relational Mapping · PDF Libraries · Top Categories · Home » com.google.gdata.client.spreadsheet » gdata-spreadsheet » 3.0. "Utility class for storing benchmarking results in Google spreadsheets." def __init__(self, email, spreadsheet_title):. '''Login to google docs and search for spreadsheet'''. self.token_file = os.path.expanduser("~/.dromaeo_bot_auth_token"). self.gd_client = gdata.spreadsheet.service.SpreadsheetsService(). authenticated =. A step-by-step guide to using Clojure to read Google spreadsheets via the GData Java API.. See Using OAuth 2.0 to Access Google APIs for full details, but here's a quick-start guide to creating credentials for a service account. Navigate to the Developers Console. Click on Enable and manage APIs and. GData.Client and Google.GData.Spreadsheets and replaced it with Google.Apis.Sheets.v4 services. Now Google has a very illustrative example on how to use and consume the Google.Apis.Sheets.v4 Services API, but we found it a bit unhelpful for beginners to understand. So, we thought of writing a blog. CellQuery.class com.google.gdata.client.spreadsheet.FeedURLFactory.class com.google.gdata.client.spreadsheet.ListQuery.class com.google.gdata.client.spreadsheet.RecordQuery.class com.google.gdata.client.spreadsheet.SpreadsheetQuery.class com.google.gdata.client.spreadsheet.SpreadsheetService.class. Hi, I'm trying to implement a Google Spreadsheet Connector for adding a row to a spreadsheet, but I'm having lots of problems. These are the steps I'm following:. Service.getFeed(Service.java:1135). at com.google.gdata.client.Service.getFeed(Service.java:998). at com.google.gdata.client.GoogleService. Статья о том, как напрямую из Python взаимодействовать с электронными таблицами Google: Write to a Google Spreadsheet from a Python script by MATT CUTTS on FEBRUARY 10, 2009 Статья не очень свежая, тем не менее, мне удалось установить на своем компе пакет gdata,. ... /usr/share/doc/python-gdata-doc/pydocs/gdata.sites.client.html /usr/share/doc/python-gdata-doc/pydocs/gdata.sites.data.html /usr/share/doc/python-gdata-doc/pydocs/gdata.sites.html /usr/share/doc/python-gdata-doc/pydocs/gdata.spreadsheet.html /usr/share/doc/python-gdata-doc/pydocs/gdata.spreadsheet.service.html. import gdata.docs.service import gdata.spreadsheet.service import os import tempfile import csv def get_spreadsheet(account, password, key, gid): gd_client = gdata.docs.service.DocsService() gd_client.email = account gd_client.password = password gd_client.source = "Private Spreadsheet Downloader". import gdata.spreadsheet.service username = 'prakhil.purchase@gmail.com' passwd = 'purchase' doc_name = 'googleapps_spreadsheet'... Google Spreadsheet from a Python script: #!/usr/bin/python. import time import gdata.spreadsheet.service. email = 'youraccount@gmail.com' password = 'yourpassword' weight = '180' # Find this value in the url with 'key=XXX' and copy XXX below spreadsheet_key = 'pRoiw3us3wh1FyEip46wYtW' # All spreadsheets have I have installed the gdata python client from http://code.google.com/p/gdata-python-client/ and installed it using 'sudo python setup.py install'. I can execute the following code without errors: #!/usr/bin/env python from xml.etree import ElementTree import gdata.service. print 'hello world'. From the above I. Configuring GData client. The simplest way to configure the GData client (the Java API from Google to use Google services, including Spreadsheets) to interact with spreadsheets is to use Maven and define the client as a dependency in the file pom.xml , as described below: <?xml version="1.0". GData.Client, .Extensions, and .Spreadsheets. Per their documentation, you have to walk and object model, traversing first to find the Spreadsheet with in your Google Drive, then the Worksheet within a single Spreadsheet, and then the Rows and Columns as Cells within the Worksheet. Sounds like moving. public APIResponse readSpreadsheetContents(@Named("spreadSheetKey") String gsKey, HttpServletRequest req, User user) { try { SpreadsheetService service = new SpreadsheetService("MySpreadsheetIntegration-v1"); URL metafeedUrl = new. private static List findAllSpreadsheets(SpreadsheetService service) throws Exception { System.out.println("findAllSpreadsheets in"); SpreadsheetFeed feed = service.getFeed(SPREADSHEET_FEED_URL, SpreadsheetFeed.class); List spreadsheets. import gdata.spreadsheet.service import gdata.service import atom.service import gdata.spreadsheet import atom import getpass import string from optparse import OptionParser parser = OptionParser() parser.add_option("-a", "--addrow", action="store_true", dest="addrow", default="False") (options, args) = parser.parse_args. ... Test Spreadsheet' WORKSHEET_NAME = "Sheet2" PATH_TO_JSON_KEYFILE = '/path/to/json/key/file.json' NAMESPACES = {'ns0': 'http://www.w3.org/2005/Atom'} SCOPES = ['https://spreadsheets.google.com/feeds'] # log in credentials = ServiceAccountCredentials.from_json_keyfile_name(PATH_TO_JSON_KEYFILE. import gdata.spreadsheet. import atom. import getpass. import string. from optparse import OptionParser. parser = OptionParser(). parser.add_option( "-a" , "--addrow" , action = "store_true" , dest = "addrow" , default = False ). (options, args) = parser.parse_args(). gd_client = gdata.spreadsheet.service. User authentication is achieved through gdata.spreadsheet.service.SpreadsheetsService and gdata.docs.service.DocsService clients provided by gdata python client library. BadAuthentication exception, as a result of providing invalid user name- password combination is handled by terminating the. #!/usr/bin/python. import gdata.spreadsheet.service. def _CellsUpdateAction(row,col,inputValue,key,wksht_id):. entry = spr_client.UpdateCell(row = row, col = col, inputValue = inputValue,. key = curr_key, wksht_id = curr_wksht_id). if isinstance (entry, gdata.spreadsheet.SpreadsheetsCell):. print 'Updated!'. ... /usr/share/doc/python-gdata-doc/pydocs/gdata.sites.client.html /usr/share/doc/python-gdata-doc/pydocs/gdata.sites.data.html /usr/share/doc/python-gdata-doc/pydocs/gdata.sites.html /usr/share/doc/python-gdata-doc/pydocs/gdata.spreadsheet.html /usr/share/doc/python-gdata-doc/pydocs/gdata.spreadsheet.service.html. Parameters: applicationName the name of the client application accessing the service. Application names should preferably have the format [company-id]-[app-name]-[app-version]. The name will be used by the Google servers to monitor the source of authentication. 89. 90. public SpreadsheetService(String. Using the gdata-python-client, you can change the value in multiple cells with one HTTP request. Here is an example: import gdata.spreadsheet import gdata.spreadsheet.service client = gdata.spreadsheet.service.SpreadsheetsService() client.email = 'your email address' client.password = 'your password'. This is a small Python module to demonstrate how to export a Googel spreadsheet using gdata-python-client.. 2011-10-10 Depends on http://code.google.com/p/gdata-python-client/ """ import gdata.docs.data import gdata.docs.client import gdata.spreadsheet.service def export_spreadsheet(username,. Contact. Got questions about NuGet or the NuGet Gallery? Status. Find out the service status of NuGet.org and its related services. FAQ. Read the Frequently Asked Questions about NuGet and see if your question made the list. © Microsoft 2018 - About - Terms of Use - Privacy Policy - Trademarks. from bs4 import BeautifulSoup from urllib2 import urlopen import gdata.spreadsheet.service import datetime rowdict = {} rowdict['date'] = str(datetime.date.today()) spread_sheet_id = '13mX6ALRRtGlfCzyDNCqY-G_AqYV4TpE7rq1ZNNOcD_Q' worksheet_id = 'od6' client = gdata.spreadsheet.service. Based on spreadsheetExample.py by Laura Beth Lincoln __author__ = 'wking@drexel.edu (W. Trevor King)' try: from xml.etree import ElementTree except ImportError: from elementtree import ElementTree import gdata.spreadsheet.service import gdata.service import atom.service import gdata.spreadsheet import atom. import gdata.docs.service. import gdata.spreadsheet.service. ''' get user information from the command line argument and. pass it to the download method. ''' def get_gdoc_information():. email = raw_input('Email address:'). password = getpass('Password:'). gdoc_id = raw_input('Google Doc Id:'). try:. GDataDocumentsService *service; GDataDocumentsSpreadsheet *spreadsheet; GFile *destination_file; guint gid; gchar *download_uri; GDataDownloadStream *download_stream; GFileOutputStream *output_stream; GError *error = NULL; /* Create a service and retrieve the spreadsheet and sheet index (GID) to. Version; import com.google.gdata.util.VersionRegistry; /** * Extends the basic {@link GoogleService} abstraction to define a service that * is preconfigured for access to the Google Spreadsheets data API. * * */ public class SpreadsheetService extends GoogleService { /** * The abbreviated name of Google Spreadsheets.
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