Groups | Search | Server Info | Keyboard shortcuts | Login | Register [http] [https] [nntp] [nntps]

Groups > comp.lang.javascript > #82759

Download Gspread

Show all headers | View raw

I am trying to export my Dataframe to Google sheets and came across a package called gspread. While installing this package it asks for a module named gspread.v4 but when i try to do a pip install get



download gspread

Download File https://t.co/LmDzeZsNXf 






We decided we needed to connect to Google Sheets for a particular part of the project. I came across the python project gspread when I was googling around, and found this well written article about using gspread to read and write to google spreadsheets.


So we implemented this project, and it worked well, except it was extremely slow to write (reading was fast, but writing was slow.) I did some research, and found that the google API version 4 (the most recent one) is much faster than v3, which is what gspread is based on.


If you have different client credentials, you could load them passing in conf_dir and/orfile_name to gspread_pandas.conf.get_config. Alternatively, you could pull these fromelsewhere, like a database. Once you have the config, you could then pass that to aClient or Spread instance, or you could get credentials by passing it togspread_pandas.conf.get_creds.






(The workaround for now is, complied the script that use gspread to an .exe file. Then use .py in nuke to os.system() to call the .exe and with a lot of sys.argu coding. I know it is a stupid way, but it at least working.)


Have you tried using pip to install gspread and oauth2 - it may be doing additional hooks (additional package installs, registry settings etc) than just coping the folder to your lib/site folder - on both site it describes it being the process to follow:


We have chosen gspread for this tutorial as it is one of the most popular and widely used libraries. So the first step in our gspread Python Tutorial is to install the gspread library that is needed to achieve Google Sheets automation using Python.


Google Sheets API will now appear in your Enabled APIs & Services tab. You will see 3 sections namely Metrics, Quotas, and Credentials under it. So the next step in our gspread Python Tutorial would be to see how to create the required credentials to access the Google Sheet API.


This package allows easy data flow between a worksheet in a Google spreadsheetand a Pandas DataFrame. Any worksheet you can obtain using the gspread packagecan be retrieved as a DataFrame with get_as_dataframe; DataFrame objects canbe written to a worksheet using set_with_dataframe:


This module contains functions to retrieve a gspread worksheet as apandas.DataFrame, and to set the contents of a worksheetusing a pandas.DataFrame. To use these functions, havePandas 0.14.0 or greater installed.


There are two ways that you can authenticate to Google Sheets.You can setup a Project and give gspread access to your entire account with OAuth Client ID, or you can set up a Bot using a Service Account.


Download the JSON file and rename it to "credentials.json". Create a folder named gspread in your %APPDATA% and move the file to the folder. %APPDATA% is a variable used in Windows that goes to your accounts appdata folder. For example, on my computer it is C:\Users\Conny\AppData\Roaming.


Rename the downloaded key to "service_account.json". Create a folder named gspread in your %APPDATA% and move the file to the folder. %APPDATA% is a variable used in Windows that goes to your accounts appdata folder. For example, on my computer it is C:\Users\Conny\AppData\Roaming.


The first time that you run the script, a browser window will open and prompt you to sign in with your google account. The config directory is where gspread stores authorized credentials, along with credentials.json. You only need to authorize the browser once, and it will remember your credentials.


When we create a spreadsheet with the service account, we need to share the spreadsheet to our account. Remember that the Service Account is a separate account. Just as you would share the spreadsheet with another person, you have to do this as well with gspread using the share() method.


Adding or removing permission for a particular Google Sheet file can be also super easy with gspread. Before adding/removing permission, you shall check who are the users currently have access to your file. You can use list_permission function to retrieve the list of users with their roles:


In this article, we have reviewed though the gspread package which provides the high level APIs for working with Google Sheets to serve for this purpose. With gspread, you are able to open existing sheet or create new Google Sheet file, read/write the data as well as do simply formatting. In fact, there are a few other libraries such as gspread-formatting and gspread-pandas which offer extensive functionalities for sheet formatting and interacting sheets with pandas dataframe, you may take a look in case you need something more complicated than what we have covered here.


Now, finally comes the good part!

we are ready to use the gspread Python library to access and manipulate the data in Google Sheets.How to read a Google Sheet in Python?First, you must import the required libraries at the top of your script, as shown below:import gspreadfrom oauth2client.service_account import ServiceAccountCredentialsNext, you need to add scopes for the Google Drive API and Google Sheet API. This is a mandatory requirement for interacting with required APIs. Also, specify the path to the credentials JSON file that we saved earlier.


How to run Python script in Google Sheets?You must use the Google Apps script to run the Python script from Google Sheets. Please remember that the Python script has to be available as a web service or through an API. Here are some code examples.ConclusionAs you can see, the gspreads module offers a wide range of functionality, which makes it an excellent choice for those looking for a reliable and feature-rich solution to automate Google Sheets using Python and Google Cloud Platform APIs. All the functionalities are well documented in their official documentation here.

 35fe9a5643

Back to comp.lang.javascript | Previous | Next | Find similar | Unroll thread

Thread

Download Gspread Jocelyn Kahler <kahlerjocelyn@gmail.com> - 2023-12-31 02:33 -0800

csiph-web