NBA | Network Balancing Act : A High-performance packet | GPU library
kandi X-RAY | NBA Summary
kandi X-RAY | NBA Summary
"A High-performance packet processing framework for heterogeneous processors" (EuroSys 2015 paper).
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QUESTION
I'm trying to write a python file in json within a Docker container. I'm using Jupyter Notebook in the container to load some urls from the NBA API, and eventually I want to write it to a NoSql database somewhere but for now I want the files to be saved inside the volume of the Docker container.. Unfortunately, when I run this Python code, I get the error
...ANSWER
Answered 2022-Apr-10 at 03:09Based on the error look's you don't have the directory called “nba-matches” and the function save_nba_matches needs it; You could add directory validation, e.g.
QUESTION
I am trying to fix this NBA game detail table. Every two rows are the same game(GAME_ID) in the table. I want the two rows to be in one row so that the home team and the away team's data will be on the same row.
...ANSWER
Answered 2022-Mar-26 at 10:53You can use set_index and unstack, then flatten headers.
Here is some code I did for baseball games, I had to create my own Game No:
QUESTION
I've got this DataFrame, which is a description of sports and their leagues:
...ANSWER
Answered 2022-Mar-10 at 17:49You can use Series.str.findall
:
QUESTION
I am trying to find the average of certain NBA data points over the last 5 and last 10 days. I want to know, for example, how many FG an opponent allowed over the last 5 days. I also want to calculate how many FG an opponent allowed over that time frame to a specific position. How could I go about doing that? I have attached the raw data in a googlesheet below.
https://docs.google.com/spreadsheets/d/1HYliF8kjfTsf9ursxo0yi5SDF02ZruZXeK-WRdxDhmg/edit?usp=sharing
I want to be able to average the data in column M, based on the opponent in column H as well as the date in column A. Eventually I would like to also average that data based on the position, which is in column AB. I appreciate the guidance!
...ANSWER
Answered 2022-Mar-07 at 18:56average of last 10 days of FG values per each OPP:
QUESTION
I am new to scraping and have successfully scraped tables from these websites:-
...ANSWER
Answered 2022-Mar-05 at 14:28Using RSelenium
QUESTION
First off, I am aware that there are many questions out there with .get() not properly working and I have read through many of them. My issue is that my program has a button that every time it is pressed, it adds a new entry box for a new Player to be added, then I then want to create a Player object (I have the player class defined in another file) and add the Player object to a list. Here is the function for the "Add Player" button:
...ANSWER
Answered 2022-Feb-21 at 22:00Once your program reaches the team_wind.mainloop()
command nothing under it will execute because python will continute running mainloop() forever. This means that the function will never get to running player_list.append(Player(new_player_entry.get()))
.
QUESTION
I am trying to create a Google Sheet that tracks the live data from any NBA game (given the ur) on ESPN using
...ANSWER
Answered 2022-Feb-04 at 18:10try:
QUESTION
I recently created this post trying to figure out how to reference GitHub Secrets in a GitHub action. I believe I got that solved & figured out and I'm onto a different issue.
Below is a sample of the workflow code as of right now, the issue I need help with is the Create and populate .Renviron file
part.
ANSWER
Answered 2021-Sep-01 at 09:23The file is there where you expect to be
QUESTION
I'm doing some NBA analysis and have a "Minutes Played" column for players in a mm:ss format. What dtype should this column be to perform aggregate functions (mean, min, max, etc...) on it? The df has over 20,000 rows, so here is a sample of the column in question:
...ANSWER
Answered 2022-Jan-21 at 21:30import pandas as pd
data = {
'Minutes': ['18:30', '24:50', '33:21', '28:39', '27:30'],
'Team': ['team1', 'team2', 'team1', 'team1', 'team2']
}
df = pd.DataFrame(data)
df['Minutes'] = pd.to_timedelta('00:' + df['Minutes'].replace('',np.NaN)))
df.groupby('Team')['Minutes'].mean()
QUESTION
I know this has had to have been asked before, I can't seem to figure out the correct terminology to search to find what this is called or how to do it. I have a dynamic table that one day may have 5 items and the next 10 items (pulled from a DB), I am going to create hyperlinks within the table that would then open another HTML page specifically about that list object. I can't seem to figure out how to make this work? The way my mind works with Django right now is that I create a HTML file and URL view for each specific page, but if I one day want to create 3 and the next day 5 how can I do that, right now my mind can't understand how to dynamically create that HTML file for each thing in the list by using only one template? Just looking for someone to tell me what this is called if anything or what I can search in Django documentation to find examples? Edit after initial answer
Here is my app URL file:
URL
...ANSWER
Answered 2022-Jan-19 at 22:17What I think you want is called a detail page. I'm going to call the model Item. You can create detail views for each item easily by doing something like the following on your urls.py:
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