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import requests import pandas as pd APIURL url = headers = User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3 params = LeagueID: 00, NBA Season: 2022-23, SeasonType: Regular Season, PlayerID: 1629662 ID GET response = requests.get(url, headers=headers, params=params) if response.status_code == 200: JSON data = response.json() result_set = data[resultSets][0] headers = result_set[headers] rows = result_set[rowSet] pandasDataFrame df = pd.DataFrame(rows, columns=headers) print(df.head()) else: print(, response.status_code)

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game_dataDataFrame

import math def calculate_distance(row): player1_x, player1_y = row[LOC_X_PLAYER1], row[LOC_Y_PLAYER1] player2_x, player2_y = row[LOC_X_PLAYER2], row[LOC_Y_PLAYER2] return math.sqrt((player1_x – player2_x)**2 + (player1_y – player2_y)**2) game_data game_data[DISTANCE] = game_data.apply(calculate_distance, axis=1) print(game_data[[PLAYER1_NAME, PLAYER2_NAME, DISTANCE]].head())

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