nba_api
ImportJSON
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nba_api | ImportJSON | |
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55 | 52 | |
2,238 | 1,943 | |
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7.1 | 0.0 | |
13 days ago | over 1 year ago | |
Python | HTML | |
MIT License | GNU Lesser General Public License v3.0 only |
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nba_api
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An Analysis of How Chris Paul Has Affected His Teams (And How It May Impact the Warriors)
Thanks to the people putting together the open source nba_api, as well as the people at Basketball Reference and the NBA stats page.
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Stat Changes from Regular Season to Playoffs: 2022 - 2023 Season
NBA Stats API
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Scott Foster gets cracked in the face by Lebron. And Foster has his whistle in his mouth when it happens.
Yea ref stuff is hard to acquire. NBA api could b helpful tho and this is prob a good place to start
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NBA Game IDs to Playoff Game Numbers
I think you'll find this useful: https://github.com/swar/nba_api.
- Experiences with the different nba.com APIs? Which one would you recommend for play-by-play data to calculate player-specific ORtg or DRtg in a game?
- Don't have much experience using APIs, I'm trying to use one but do not know how to get it set up properly
- Trying to use an API in Python but I don't know how to set it up properly. Can I get some help?
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[OC] How does playoff basketball differ from the regular season? Analyzing team stats over the past 40 seasons
All data were collected using the nba_api. The dataset consists of per-game stat averages for all teams starting from the 1983-84 season through the 2021-22 season. In total: 1103 regular season teams, 624 of which made the playoffs in their respective years. Traditional stats include: PTS, FGM, FGA, FG_PCT, FG3M, FG3A, FG3_PCT, FTM, FTA, FT_PCT, OREB, DREB, REB, AST, STL, BLK, TOV, PF, PLUS_MINUS. Advanced stats include: NET_RATING, OFF_RATING, DEF_RATING, EFG_PCT, TS_PCT, PACE, OREB_PCT, DREB_PCT, REB_PCT, AST_PCT, AST_TO, AST_RATIO, TM_TOV_PCT. Note: for plus/minus and all of the advanced stats, I could only get data beginning from the 1997-98 season onwards, which resulted in 743 total regular season teams, 400 of which made the playoffs.
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Downloading stats from nba.com/stats
Is it not on the nba api? https://github.com/swar/nba_api/tree/master/docs/nba_api/stats/endpoints
- [Highlight] Poole gets a tech for passing the ball to the ref
ImportJSON
- I'm just starting to learn coding and wanted to do a small profit spreadsheet with some API stuff as a project. Can someone link a spreadsheet or guide on how to actually use the TFT API?
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Reducing load with IMPORTXML
The following scripts leverage the UrlFetchApp library and are less likely to cross rate limits at the scale you're operating at. I'd start with importRegex but if that doesn't work try the much more powerful ImportJSON
- March Madness 2023 in Google Sheets!
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Software til afstemning af budget?
I use ImportJSON to put it the sheet: https://github.com/bradjasper/ImportJSON
- Help importing NBA data from the online api URL/file .json
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Get URL traffic from Google Search Console to Google Sheets
You may also be able to use something as simple as the import json custom function https://github.com/bradjasper/ImportJSON
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LongRun Solution to use with IMPORTJSON script
Here's a link to the GitHub repo: https://github.com/bradjasper/ImportJSON/blob/master/ImportJSON.gs
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Apps Script "Minutes" Trigger refreshes at 00:32 seconds not 00:00
Thanks for the tip, I'll try running just one script and see if that fixes it. As far as precision, I'm using a free script created by Brad Jasper and it works great. https://github.com/bradjasper/ImportJSON/blob/master/ImportJSON.gs
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Best way to use JSONImport
are you talking about Brad jasper's custom function?
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Impossible to fetch character list from third party website
I've been using the public api https://www.pathofexile.com/character-window/get-characters?&accountName=vindoq to get my characters on a google spread sheet and it doesn't work anymore since a little more than one month (using a third party script : https://github.com/bradjasper/ImportJSON). I've been trying to get around it using my own github project (https://github.com/antilogos/SimpleFiltre/blob/master/DataTranslate/characters.html) to try getting the content of the public api with an additional step, using github.io, but the fetch is receiving a null body in the response (https://antilogos.github.io/SimpleFiltre/DataTranslate/characters.html).
What are some alternatives?
nbastatR - NBA Stats API Wrapper and more for R
IMPORTJSONAPI - Use JSONPath to selectively extract data from any JSON or GraphQL API directly into Google Sheets.
nba-stats-analysis - Jupyter Notebooks with Applications of Data Science and Analysis with NBA data, using the information available through the NBA Stats API.
Luckysheet - Luckysheet is an online spreadsheet like excel that is powerful, simple to configure, and completely open source.
Python-NSE-Option-Chain-Analyzer - The NSE has a website which displays the option chain in near real-time. This program retrieves this data from the NSE site and then generates useful analysis of the Option Chain for the specified Index or Stock. It also continuously refreshes the Option Chain and visually displays the trend in various indicators useful for Technical Analysis.
Postwoman - 👽 Open source API development ecosystem - https://hoppscotch.io
NBA-attendance-prediction - Attendance prediction tool for NBA games using machine learning. Full pipeline implemented in Python from data ingestion to prediction. Attained mean absolute error of around 800 people (about 5% capacity) on test set.
dataconnector - Connect to any API, website or database in Google Sheets.
td-ameritrade-python-api - Unofficial Python API client library for TD Ameritrade. This library allows for easy access of the Standard API and allows users to build data pipelines for the Streaming API.
nano-docs - Documentation for the Nano protocol
nba-sql - :basketball: An application to build an NBA database backed by MySQL, Postgres, or SQLite
SpreadsheetView - Full configurable spreadsheet view user interfaces for iOS applications. With this framework, you can easily create complex layouts like schedule, gantt chart or timetable as if you are using Excel.