Created
January 26, 2021 11:22
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This snippet will parse NBA player statistics from www.basketball-reference.com website using pandas
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# sample Url https://www.basketball-reference.com/leagues/NBA_2021_per_game.html | |
import pandas as pd | |
def parse_data(year: str): | |
url = "https://www.basketball-reference.com/leagues/NBA_" + year + "_per_game.html" | |
parsed_df = pd.read_html(url, header=0)[0] | |
parsed_df = parsed_df.drop(parsed_df[parsed_df['Age'] == 'Age'].index) # to remove duplicate headers | |
parsed_df = parsed_df.fillna(0) | |
parsed_df = parsed_df.drop(['Rk'], axis=1) # to index(Rk column) | |
return parsed_df | |
selected_year = 2011 | |
df_player_stat_dataset = parse_data(str(selected_year)) |
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