google-spreadsheet-csv | google spreadsheet by using a CSV file | GCP library

by lpenz Python Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | google-spreadsheet-csv Summary

google-spreadsheet-csv is a Python library typically used in Cloud, GCP applications. google-spreadsheet-csv has no bugs, it has no vulnerabilities and it has low support. However google-spreadsheet-csv build file is not available and it has a Non-SPDX License. You can download it from GitHub.

Sends or receives from a google spreadsheet by using a CSV file.

Support

Quality

Security

License

Reuse

Support

google-spreadsheet-csv has a low active ecosystem.

It has 17 star(s) with 5 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 141 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of google-spreadsheet-csv is current.

Quality

google-spreadsheet-csv has 0 bugs and 0 code smells.

Security

google-spreadsheet-csv has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

google-spreadsheet-csv code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

google-spreadsheet-csv has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

google-spreadsheet-csv releases are not available. You will need to build from source code and install.

google-spreadsheet-csv has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of google-spreadsheet-csv

Get all kandi verified functions for this library.

google-spreadsheet-csv Key Features

No Key Features are available at this moment for google-spreadsheet-csv.

google-spreadsheet-csv Examples and Code Snippets

No Code Snippets are available at this moment for google-spreadsheet-csv.

Community Discussions

Trending Discussions on google-spreadsheet-csv

Google spreadsheet to Pandas dataframe via Pydrive without download

QUESTION

Google spreadsheet to Pandas dataframe via Pydrive without download

Asked 2022-Feb-27 at 00:37

How do I read the content of a Google spreadsheet into a Pandas dataframe without downloading the file?

I think gspread or df2gspread may be good shots, but I've been working with pydrive so far and got close to the solution.

With Pydrive I managed to get the export link of my spreadsheet, either as .csv or .xlsx file. After the authentication process, this looks like

...

ANSWER

Answered 2022-Feb-27 at 00:36

In your situation, how about the following modification? In this case, by retrieving the access token from gauth, the Spreadsheet is exported as XLSX data, and the XLSX data is put into the dataframe.

Modified script:

Source https://stackoverflow.com/questions/71278523

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install google-spreadsheet-csv

You can download it from GitHub.
You can use google-spreadsheet-csv like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: