nfl-stats | getting NFL team , player and game data | Analytics library
kandi X-RAY | nfl-stats Summary
kandi X-RAY | nfl-stats Summary
A suite of tools for getting NFL team, player and game data, as well as real-time statistics.
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Top functions reviewed by kandi - BETA
- Get the data for the week
- Set fields of this object
- Read file contents
- Write the game data to disk
nfl-stats Key Features
nfl-stats Examples and Code Snippets
Community Discussions
Trending Discussions on nfl-stats
QUESTION
I've successfully been able to use beautiful soup in the past (I'm still learning how to use it), but I'm getting stuck on how to get this one specific table here:
https://fantasydata.com/nfl-stats/point-spreads-and-odds?season=2017&seasontype=1&week=1
In the past, it's as simple as doing:
...ANSWER
Answered 2018-Aug-09 at 22:46You don't need BeautifulSoup or Selenium for this. Data is available as python dictionary on POSTing
query to https://fantasydata.com/NFLTeamStats/Odds_Read
.
QUESTION
I'm still leaning how to utilize beautifulsoup. I've managed to use tags and what not to pull the data from Depth Chart table at https://fantasydata.com/nfl-stats/team-details/CHI
But now I'm try to pull the Full Roster table. I can't quite seem to figure out the tags for that. I do notice in the source though that the info is in a list with dictionaries, as seen:
...ANSWER
Answered 2018-Aug-18 at 12:46One possible solution is to use a regular expression to extract the raw JSON object which then can be loaded using the json library.
QUESTION
So I'm pulling statistics of NFL players. The table only shows max 50 rows, so I have to filter it down to make sure I don't miss any stats, which means I'm iterating through the pages to collect all the data by Season, by Position, by Team, by Week.
I figured out how the url changes to cycle through these, but the iteration process takes so long, and was thinking: we're able to open multiple webpages at one time, couldn't I be able to run these processes parallel, where each process simultaneously collects the data from each page, stores it in its temp_df, then merge them all at the end...instead of collecting one url, by one url, then merge, then next url, then merge, then next,......at a time. Meaning this iterates through 6,144 times (if I'm not iterating through the positions), but with the positions, over 36,000 iteration through.
But I'm stuck on how to implement it, or if it's even possible.
Here's the code I'm currently using. I eliminated the cycle through position to just give an idea of how its working, which for quarterbacks, the p = 2.
So it starts at season 2005 = 1, team 1 = 1, week 1 =0, then iterates all those to the last season 2016 = 12, team 32 = 33, and week 16 = 17:
...ANSWER
Answered 2017-Sep-11 at 11:031/ Create a dict of season, team, weeks and urls.
2/ Use multiprocessing pool to call urls and get data.
Or use a dedicated scraping tool like Scrapy.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install nfl-stats
You can use nfl-stats 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.
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