nflfastR-data | Data scraped from nflfastR package | Scraper library

by nflverse R Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | nflfastR-data Summary

nflfastR-data is a R library typically used in Automation, Scraper applications. nflfastR-data has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Data scraped from nflfastR package

Support

Quality

Security

License

Reuse

Support

nflfastR-data has a low active ecosystem.

It has 150 star(s) with 32 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 40 have been closed. On average issues are closed in 17 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of nflfastR-data is current.

Quality

nflfastR-data has no bugs reported.

Security

nflfastR-data has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

nflfastR-data does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

nflfastR-data releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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nflfastR-data Key Features

No Key Features are available at this moment for nflfastR-data.

nflfastR-data Examples and Code Snippets

No Code Snippets are available at this moment for nflfastR-data.

Community Discussions

Trending Discussions on nflfastR-data

Trouble reading multiple rds files at the same time and saving them to a single data frame

How to read a (.RDS) file from a URL in python?

QUESTION

Trouble reading multiple rds files at the same time and saving them to a single data frame

Asked 2021-Jan-11 at 00:41

I have a for loop set up for some rds files and I need to find a way to read said files. I could manually merge them with rbind as well, but it would be preferable if I could have them already together.

...

ANSWER

Answered 2021-Jan-11 at 00:41

You have a couple of issues here. First, an apply function such as lapply will work better than a loop. Second, you cannot read RDS directly from a github URL - you need to specify a connection using url.

So you can read into a list of data frames like this:

Source https://stackoverflow.com/questions/65659767

QUESTION

How to read a (.RDS) file from a URL in python?

Asked 2020-Nov-14 at 16:14

So I am trying to get data from NFLfastR and my R equivalent code is:

...

ANSWER

Answered 2020-Nov-14 at 14:02

Rds and Rdata files are difficult to read in other languages than R as the format although open is undocumented. Therefore there are not many options on how to read them in python. One is what you propose. Another is to use pyreadr, but you have to download the file to disk first as pyreadr cannot read directly from an url:

Source https://stackoverflow.com/questions/64178038

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

Vulnerabilities

No vulnerabilities reported

Install nflfastR-data

You can download it from GitHub.

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 .

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