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import polars as pl |
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import numpy as np |
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import pandas as pd |
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import api_scraper |
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scrape = api_scraper.MLB_Scrape() |
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from functions import df_update |
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from functions import pitch_summary_functions |
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update = df_update.df_update() |
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from stuff_model import feature_engineering as fe |
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from stuff_model import stuff_apply |
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import requests |
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import joblib |
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from matplotlib.gridspec import GridSpec |
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from shiny import App, reactive, ui, render |
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from shiny.ui import h2, tags |
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import matplotlib.pyplot as plt |
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import matplotlib.gridspec as gridspec |
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import seaborn as sns |
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from functions.pitch_summary_functions import * |
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from shiny import App, reactive, ui, render |
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from shiny.ui import h2, tags |
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colour_palette = ['#FFB000','#648FFF','#785EF0', |
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'#DC267F','#FE6100','#3D1EB2','#894D80','#16AA02','#B5592B','#A3C1ED'] |
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year_list = [2017,2018,2019,2020,2021,2022,2023,2024,2025] |
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level_dict = {'1':'MLB', |
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'11':'AAA', |
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'14':'A', |
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'16':'ROK', |
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'17':'AFL', |
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'22':'College', |
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'21':'Prospects', |
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'51':'International' } |
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function_dict={ |
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'velocity_kdes':'Velocity Distributions', |
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'break_plot':'Pitch Movement', |
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'tj_stuff_roling':'Rolling tjStuff+ by Pitch', |
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'tj_stuff_roling_game':'Rolling tjStuff+ by Game', |
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'location_plot_lhb':'Locations vs LHB', |
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'location_plot_rhb':'Locations vs RHB', |
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'pitch_usage':'Pitch Usage', |
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} |
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split_dict = {'all':'All', |
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'left':'LHH', |
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'right':'RHH'} |
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split_dict_hand = {'all':['L','R'], |
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'left':['L'], |
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'right':['R']} |
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type_dict = {'R':'Regular Season', |
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'S':'Spring', |
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'P':'Playoffs' } |
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mlb_teams = [ |
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{"team": "AZ", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/ari.png&h=500&w=500"}, |
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{"team": "ATH", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/oak.png&h=500&w=500"}, |
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{"team": "ATL", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/atl.png&h=500&w=500"}, |
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{"team": "BAL", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/bal.png&h=500&w=500"}, |
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{"team": "BOS", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/bos.png&h=500&w=500"}, |
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{"team": "CHC", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/chc.png&h=500&w=500"}, |
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{"team": "CWS", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/chw.png&h=500&w=500"}, |
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{"team": "CIN", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/cin.png&h=500&w=500"}, |
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{"team": "CLE", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/cle.png&h=500&w=500"}, |
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{"team": "COL", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/col.png&h=500&w=500"}, |
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{"team": "DET", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/det.png&h=500&w=500"}, |
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{"team": "HOU", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/hou.png&h=500&w=500"}, |
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{"team": "KC", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/kc.png&h=500&w=500"}, |
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{"team": "LAA", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/laa.png&h=500&w=500"}, |
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{"team": "LAD", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/lad.png&h=500&w=500"}, |
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{"team": "MIA", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/mia.png&h=500&w=500"}, |
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{"team": "MIL", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/mil.png&h=500&w=500"}, |
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{"team": "MIN", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/min.png&h=500&w=500"}, |
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{"team": "NYM", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/nym.png&h=500&w=500"}, |
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{"team": "NYY", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/nyy.png&h=500&w=500"}, |
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{"team": "PHI", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/phi.png&h=500&w=500"}, |
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{"team": "PIT", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/pit.png&h=500&w=500"}, |
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{"team": "SD", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/sd.png&h=500&w=500"}, |
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{"team": "SF", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/sf.png&h=500&w=500"}, |
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{"team": "SEA", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/sea.png&h=500&w=500"}, |
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{"team": "STL", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/stl.png&h=500&w=500"}, |
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{"team": "TB", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/tb.png&h=500&w=500"}, |
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{"team": "TEX", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/tex.png&h=500&w=500"}, |
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{"team": "TOR", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/tor.png&h=500&w=500"}, |
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{"team": "WSH", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/wsh.png&h=500&w=500"}, |
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{"team": "ZZZ", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/leagues/500/mlb.png&w=500&h=500"} |
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] |
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df_image = pd.DataFrame(mlb_teams) |
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image_dict = df_image.set_index('team')['logo_url'].to_dict() |
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image_dict_flip = df_image.set_index('logo_url')['team'].to_dict() |
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import requests |
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import os |
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CAMPAIGN_ID = os.getenv("CAMPAIGN_ID") |
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ACCESS_TOKEN = os.getenv("ACCESS_TOKEN") |
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BACKUP_PW = os.getenv("BACKUP_PW") |
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ADMIN_PW = os.getenv("ADMIN_PW") |
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url = f"https://www.patreon.com/api/oauth2/v2/campaigns/{CAMPAIGN_ID}/members" |
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headers = { |
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"Authorization": f"Bearer {ACCESS_TOKEN}" |
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} |
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params = { |
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"fields[member]": "full_name,email", |
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"include": "currently_entitled_tiers", |
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"page[size]": 10000 |
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} |
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response = requests.get(url, headers=headers, params=params) |
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VALID_PASSWORDS = [] |
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if response.status_code == 200: |
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data = response.json() |
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for patron in data['data']: |
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try: |
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tiers = patron['relationships']['currently_entitled_tiers']['data'] |
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if any(tier['id'] == '9078921' for tier in tiers): |
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full_name = patron['attributes']['email'] |
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VALID_PASSWORDS.append(full_name) |
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except KeyError: |
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continue |
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VALID_PASSWORDS.append(BACKUP_PW) |
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VALID_PASSWORDS.append(ADMIN_PW) |
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from shiny import App, reactive, ui, render |
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from shiny.ui import h2, tags |
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from datetime import datetime |
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def is_valid_date(date_str): |
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try: |
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datetime.strptime(date_str, "%Y-%m-%d") |
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return True |
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except ValueError: |
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return False |
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login_ui = ui.page_fluid( |
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ui.card( |
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ui.h2([ |
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"TJStats Pitching Summary App ", |
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ui.tags.a("(@TJStats)", href="https://twitter.com/TJStats", target="_blank") |
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]), |
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ui.p( |
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"This App is available to Superstar Patrons. Please enter your Patreon email address in the box below. If you're having trouble, please refer to the ", |
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ui.tags.a("Patreon post", href="https://www.patreon.com/posts/116064432", target="_blank"), |
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"." |
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), |
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ui.input_password("password", "Enter Patreon Email (or Password from Link):", width="50%"), |
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ui.tags.input( |
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type="checkbox", |
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id="authenticated", |
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value=False, |
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disabled=True |
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), |
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ui.input_action_button("login", "Login", class_="btn-primary"), |
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ui.output_text("login_message"), |
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) |
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) |
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main_ui = ui.page_sidebar( |
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ui.sidebar( |
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ui.row( |
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ui.column(4, ui.input_select('year_input', 'Select Season', year_list, selected=2025)), |
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ui.column(4, ui.input_select('level_input', 'Select Level', level_dict)), |
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ui.column(4, ui.input_select('type_input', 'Select Type', type_dict,selected='R')) |
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), |
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ui.row(ui.input_action_button("player_button", "Get Player List", class_="btn-primary")), |
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ui.row(ui.column(12, ui.output_ui('player_select_ui', 'Select Player'))), |
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ui.row(ui.column(12, ui.output_ui('date_id', 'Select Date'))), |
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ui.row( |
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ui.column(4, ui.input_select('plot_id_1', 'Plot Left', function_dict, multiple=False, selected='velocity_kdes')), |
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ui.column(4, ui.input_select('plot_id_2', 'Plot Middle', function_dict, multiple=False, selected='break_plot')), |
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ui.column(4, ui.input_select('plot_id_3', 'Plot Right', function_dict, multiple=False, selected='pitch_usage')) |
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), |
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ui.row( |
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ui.column(6, ui.input_select('split_id', 'Select Split', split_dict, multiple=False)), |
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ui.column(6, ui.input_numeric('rolling_window', 'Rolling Window (for tjStuff+ Plot)', min=1, value=50)) |
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), |
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ui.row( |
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ui.column(6, ui.input_switch("switch", "Custom Team?", False)), |
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ui.column(6, ui.input_select('logo_select', 'Select Custom Logo', image_dict_flip, multiple=False)) |
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), |
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ui.row(ui.input_action_button("generate_plot", "Generate Plot", class_="btn-primary")), |
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width="400px" |
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), |
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ui.navset_tab( |
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ui.nav_panel("Pitching Summary", |
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ui.output_text("status"), |
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ui.output_plot('plot', width='2100px', height='2100px') |
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), |
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ui.nav_panel("Game Summary", |
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ui.output_text("status2"), |
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ui.output_plot('game_plot', width='2100px', height='2100px') |
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), |
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ui.nav_panel("Table Range", |
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ui.output_data_frame("grid")), |
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ui.nav_panel("Table Game", |
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ui.output_data_frame("grid_game")), |
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id="tabset" |
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) |
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) |
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app_ui = ui.page_fluid( |
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ui.tags.head( |
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ui.tags.script(src="script.js") |
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), |
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ui.panel_conditional( |
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"!input.authenticated", |
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login_ui |
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), |
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ui.panel_conditional( |
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"input.authenticated", |
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main_ui |
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) |
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) |
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def server(input, output, session): |
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@reactive.Effect |
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@reactive.event(input.login) |
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def check_password(): |
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if input.password() in VALID_PASSWORDS: |
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ui.update_checkbox("authenticated", value=True) |
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ui.update_text("login_message", value="") |
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else: |
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ui.update_text("login_message", value="Invalid password!") |
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ui.update_text("password", value="") |
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@output |
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@render.text |
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def login_message(): |
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return "" |
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@reactive.calc |
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@reactive.event(input.pitcher_id, input.date_id,input.split_id) |
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def cached_data(): |
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year_input = int(input.year_input()) |
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sport_id = int(input.level_input()) |
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player_input = int(input.pitcher_id()) |
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start_date = str(input.date_id()[0]) |
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end_date = str(input.date_id()[1]) |
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game_list = scrape.get_player_games_list(sport_id = sport_id, |
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season = year_input, |
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player_id = player_input, |
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start_date = start_date, |
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end_date = end_date, |
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game_type = [input.type_input()]) |
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data_list = scrape.get_data(game_list_input = game_list[:]) |
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try: |
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df = (stuff_apply.stuff_apply(fe.feature_engineering(update.update(scrape.get_data_df(data_list = data_list).filter( |
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(pl.col("pitcher_id") == player_input)& |
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(pl.col("is_pitch") == True)& |
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(pl.col("start_speed") >= 50)& |
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(pl.col('batter_hand').is_in(split_dict_hand[input.split_id()])) |
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)))).with_columns( |
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pl.col('pitch_type').count().over('pitch_type').alias('pitch_count') |
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)) |
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return df |
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except TypeError: |
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print("NONE") |
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return None |
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@reactive.calc |
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@reactive.event(input.pitcher_id, input.date_id,input.split_id,input.tabset) |
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def cached_data_daily(): |
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year_input = int(input.year_input()) |
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sport_id = int(input.level_input()) |
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player_input = int(input.pitcher_id()) |
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game_list = [int(input.date_id())] |
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print(game_list) |
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data_list = scrape.get_data(game_list_input = game_list[:]) |
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try: |
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df = (stuff_apply.stuff_apply(fe.feature_engineering(update.update(scrape.get_data_df(data_list = data_list).filter( |
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(pl.col("pitcher_id") == player_input)& |
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(pl.col("is_pitch") == True)& |
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(pl.col("start_speed") >= 50)& |
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(pl.col('batter_hand').is_in(split_dict_hand[input.split_id()])) |
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)))).with_columns( |
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pl.col('pitch_type').count().over('pitch_type').alias('pitch_count') |
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)) |
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return df |
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except TypeError: |
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print("NONE") |
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return None |
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@render.ui |
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@reactive.event(input.player_button, input.year_input, input.level_input, input.type_input,input.tabset,ignore_none=False) |
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def player_select_ui(): |
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df_pitcher_info = scrape.get_players(sport_id=int(input.level_input()), season=int(input.year_input()), game_type = [input.type_input()]).filter( |
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(pl.col("position").is_in(['P','TWP']))| |
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(pl.col("player_id").is_in([686846,806823])) |
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).sort("name") |
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pitcher_dict = dict(zip(df_pitcher_info['player_id'], df_pitcher_info['name'])) |
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return ui.input_select("pitcher_id", "Select Pitcher", pitcher_dict, selectize=True) |
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@render.ui |
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@reactive.event(input.player_button, input.pitcher_id,input.year_input, input.level_input, input.type_input,input.tabset,ignore_none=False) |
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def date_id(): |
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if input.tabset() == 'Pitching Summary' or input.tabset() == 'Table Range': |
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return ui.input_date_range("date_id", "Select Date Range", |
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start=f"{int(input.year_input())}-01-01", |
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end=f"{int(input.year_input())}-12-31", |
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min=f"{int(input.year_input())}-01-01", |
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max=f"{int(input.year_input())}-12-31") |
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if input.tabset() == 'Game Summary' or input.tabset() == 'Table Game': |
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year_input = int(input.year_input()) |
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sport_id = int(input.level_input()) |
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player_input = int(input.pitcher_id()) |
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print('game summary') |
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game_list = scrape.get_player_games_list(player_id = player_input, |
|
|
season = year_input, |
|
|
sport_id=sport_id, |
|
|
game_type=[input.type_input()], |
|
|
pitching = True) |
|
|
|
|
|
schedule_df = scrape.get_schedule(year_input=[year_input], |
|
|
sport_id= [sport_id], |
|
|
game_type = [input.type_input()]) |
|
|
|
|
|
player_schedule_df = schedule_df.filter(pl.col('game_id').is_in(game_list)).to_pandas().sort_values('date') |
|
|
|
|
|
player_schedule_df['def'] = player_schedule_df['date'].astype(str) + ' - ' + player_schedule_df['away'] + ' @ ' + player_schedule_df['home'] + ' ' |
|
|
|
|
|
|
|
|
game_dict = dict(zip(player_schedule_df['game_id'], player_schedule_df['def'])) |
|
|
|
|
|
|
|
|
return ui.input_select("date_id", "Select Game", game_dict) |
|
|
|
|
|
@output |
|
|
@render.text |
|
|
def status(): |
|
|
|
|
|
if input.generate == 0: |
|
|
return "" |
|
|
return "" |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
@output |
|
|
@render.plot |
|
|
@reactive.event(input.generate_plot, ignore_none=False) |
|
|
def plot(): |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
with ui.Progress(min=0, max=1) as p: |
|
|
p.set(message="Generating plot", detail="This may take a while...") |
|
|
|
|
|
|
|
|
p.set(0.3, "Gathering data...") |
|
|
year_input = int(input.year_input()) |
|
|
sport_id = int(input.level_input()) |
|
|
player_input = int(input.pitcher_id()) |
|
|
start_date = str(input.date_id()[0]) |
|
|
end_date = str(input.date_id()[1]) |
|
|
if not is_valid_date(start_date): |
|
|
fig = plt.figure(figsize=(26,26)) |
|
|
fig.text(x=0.1,y=0.9,s='Select Date Range and Generate Plot',fontsize=36,ha='left') |
|
|
return fig |
|
|
print(year_input, sport_id, player_input, start_date, end_date) |
|
|
|
|
|
df = cached_data() |
|
|
|
|
|
if df is None: |
|
|
fig = plt.figure(figsize=(26,26)) |
|
|
fig.text(x=0.1,y=0.9,s='No Statcast Data For This Pitcher',fontsize=36,ha='left') |
|
|
return fig |
|
|
|
|
|
df = df.clone() |
|
|
|
|
|
|
|
|
p.set(0.6, "Creating plot...") |
|
|
|
|
|
|
|
|
|
|
|
fig = plt.figure(figsize=(26,26)) |
|
|
plt.rcParams.update({'figure.autolayout': True}) |
|
|
fig.set_facecolor('white') |
|
|
sns.set_theme(style="whitegrid", palette=colour_palette) |
|
|
print('this is the one plot') |
|
|
|
|
|
gs = gridspec.GridSpec(6, 8, |
|
|
height_ratios=[6,20,12,36,36,6], |
|
|
width_ratios=[4,18,18,18,18,18,18,4]) |
|
|
|
|
|
|
|
|
gs.update(hspace=0.2, wspace=0.5) |
|
|
|
|
|
|
|
|
ax_headshot = fig.add_subplot(gs[1,1:3]) |
|
|
ax_bio = fig.add_subplot(gs[1,3:5]) |
|
|
ax_logo = fig.add_subplot(gs[1,5:7]) |
|
|
|
|
|
ax_season_table = fig.add_subplot(gs[2,1:7]) |
|
|
|
|
|
ax_plot_1 = fig.add_subplot(gs[3,1:3]) |
|
|
ax_plot_2 = fig.add_subplot(gs[3,3:5]) |
|
|
ax_plot_3 = fig.add_subplot(gs[3,5:7]) |
|
|
|
|
|
ax_table = fig.add_subplot(gs[4,1:7]) |
|
|
|
|
|
ax_footer = fig.add_subplot(gs[-1,1:7]) |
|
|
ax_header = fig.add_subplot(gs[0,1:7]) |
|
|
ax_left = fig.add_subplot(gs[:,0]) |
|
|
ax_right = fig.add_subplot(gs[:,-1]) |
|
|
|
|
|
|
|
|
ax_footer.axis('off') |
|
|
ax_header.axis('off') |
|
|
ax_left.axis('off') |
|
|
ax_right.axis('off') |
|
|
|
|
|
sns.set_theme(style="whitegrid", palette=colour_palette) |
|
|
fig.set_facecolor('white') |
|
|
|
|
|
df_teams = scrape.get_teams() |
|
|
|
|
|
player_headshot(player_input=player_input, ax=ax_headshot,sport_id=sport_id,season=year_input) |
|
|
player_bio(pitcher_id=player_input, ax=ax_bio,sport_id=sport_id,year_input=year_input) |
|
|
|
|
|
if input.switch(): |
|
|
|
|
|
|
|
|
logo_url = input.logo_select() |
|
|
|
|
|
|
|
|
response = requests.get(logo_url) |
|
|
|
|
|
|
|
|
img = Image.open(BytesIO(response.content)) |
|
|
|
|
|
|
|
|
ax_logo.set_xlim(0, 1.3) |
|
|
ax_logo.set_ylim(0, 1) |
|
|
ax_logo.imshow(img, extent=[0.3, 1.3, 0, 1], origin='upper') |
|
|
|
|
|
|
|
|
ax_logo.axis('off') |
|
|
|
|
|
else: |
|
|
plot_logo(pitcher_id=player_input, ax=ax_logo, df_team=df_teams,df_players=scrape.get_players(sport_id,year_input)) |
|
|
|
|
|
stat_summary_table(df=df, |
|
|
ax=ax_season_table, |
|
|
player_input=player_input, |
|
|
split=input.split_id(), |
|
|
sport_id=sport_id, |
|
|
game_type=[input.type_input()], |
|
|
start_date_input= str(input.date_id()[0]), |
|
|
end_date_input=str(input.date_id()[1])) |
|
|
|
|
|
|
|
|
for x,y,z in zip([input.plot_id_1(),input.plot_id_2(),input.plot_id_3()],[ax_plot_1,ax_plot_2,ax_plot_3],[1,3,5]): |
|
|
if x == 'velocity_kdes': |
|
|
velocity_kdes(df, |
|
|
ax=y, |
|
|
gs=gs, |
|
|
gs_x=[3,4], |
|
|
gs_y=[z,z+2], |
|
|
fig=fig) |
|
|
if x == 'tj_stuff_roling': |
|
|
tj_stuff_roling(df=df, |
|
|
window=int(input.rolling_window()), |
|
|
ax=y) |
|
|
|
|
|
if x == 'tj_stuff_roling_game': |
|
|
tj_stuff_roling_game(df=df, |
|
|
window=int(input.rolling_window()), |
|
|
ax=y) |
|
|
|
|
|
if x == 'break_plot': |
|
|
break_plot(df = df,ax=y) |
|
|
|
|
|
if x == 'location_plot_lhb': |
|
|
location_plot(df = df,ax=y,hand='L') |
|
|
|
|
|
if x == 'location_plot_rhb': |
|
|
location_plot(df = df,ax=y,hand='R') |
|
|
|
|
|
if x == 'pitch_usage': |
|
|
pitch_usage(df = df,ax=y) |
|
|
|
|
|
summary_table(df=df, |
|
|
ax=ax_table) |
|
|
|
|
|
plot_footer(ax_footer) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
ax_watermark2 = fig.add_subplot(gs[-2:,1:4],zorder=1) |
|
|
ax_watermark2.set_xlim(0,1) |
|
|
ax_watermark2.set_ylim(0,1) |
|
|
|
|
|
ax_watermark2.set_xticks([]) |
|
|
ax_watermark2.set_yticks([]) |
|
|
ax_watermark2.set_frame_on(False) |
|
|
|
|
|
|
|
|
img = Image.open('tj stats circle-01_new.jpg') |
|
|
|
|
|
width, height = img.size |
|
|
|
|
|
new_width = int(width * 0.5) |
|
|
new_height = int(height * 0.5) |
|
|
|
|
|
img_resized = img.resize((new_width, new_height)) |
|
|
|
|
|
ax_watermark2.imshow(img, extent=[0.26, 0.46, 0.0,0.2], origin='upper',zorder=-1, alpha=1) |
|
|
|
|
|
fig.subplots_adjust(left=0.01, right=0.99, top=0.99, bottom=0.01) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
@output |
|
|
@render.plot |
|
|
@reactive.event(input.generate_plot, ignore_none=False) |
|
|
def game_plot(): |
|
|
|
|
|
with ui.Progress(min=0, max=1) as p: |
|
|
print(input.date_id(),'TEST') |
|
|
|
|
|
if isinstance(input.date_id(), tuple): |
|
|
fig = plt.figure(figsize=(26,26)) |
|
|
fig.text(x=0.1,y=0.9,s='Select Game and Generate Plot',fontsize=36,ha='left') |
|
|
return fig |
|
|
|
|
|
|
|
|
p.set(message="Generating plot", detail="This may take a while...") |
|
|
|
|
|
|
|
|
p.set(0.3, "Gathering data...") |
|
|
year_input = int(input.year_input()) |
|
|
sport_id = int(input.level_input()) |
|
|
player_input = int(input.pitcher_id()) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
df = cached_data_daily() |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
if df is None: |
|
|
fig = plt.figure(figsize=(26,26)) |
|
|
fig.text(x=0.1,y=0.9,s='No Statcast Data For This Pitcher',fontsize=36,ha='left') |
|
|
return fig |
|
|
|
|
|
df = df.clone() |
|
|
|
|
|
|
|
|
p.set(0.6, "Creating plot...") |
|
|
|
|
|
|
|
|
|
|
|
fig = plt.figure(figsize=(26,26)) |
|
|
plt.rcParams.update({'figure.autolayout': True}) |
|
|
fig.set_facecolor('white') |
|
|
sns.set_theme(style="whitegrid", palette=colour_palette) |
|
|
print('this is the one plot') |
|
|
|
|
|
gs = gridspec.GridSpec(6, 8, |
|
|
height_ratios=[6,20,12,36,36,6], |
|
|
width_ratios=[4,18,18,18,18,18,18,4]) |
|
|
|
|
|
|
|
|
gs.update(hspace=0.2, wspace=0.5) |
|
|
|
|
|
|
|
|
ax_headshot = fig.add_subplot(gs[1,1:3]) |
|
|
ax_bio = fig.add_subplot(gs[1,3:5]) |
|
|
ax_logo = fig.add_subplot(gs[1,5:7]) |
|
|
|
|
|
ax_season_table = fig.add_subplot(gs[2,1:7]) |
|
|
|
|
|
ax_plot_1 = fig.add_subplot(gs[3,1:3]) |
|
|
ax_plot_2 = fig.add_subplot(gs[3,3:5]) |
|
|
ax_plot_3 = fig.add_subplot(gs[3,5:7]) |
|
|
|
|
|
ax_table = fig.add_subplot(gs[4,1:7]) |
|
|
|
|
|
ax_footer = fig.add_subplot(gs[-1,1:7]) |
|
|
ax_header = fig.add_subplot(gs[0,1:7]) |
|
|
ax_left = fig.add_subplot(gs[:,0]) |
|
|
ax_right = fig.add_subplot(gs[:,-1]) |
|
|
|
|
|
|
|
|
ax_footer.axis('off') |
|
|
ax_header.axis('off') |
|
|
ax_left.axis('off') |
|
|
ax_right.axis('off') |
|
|
|
|
|
sns.set_theme(style="whitegrid", palette=colour_palette) |
|
|
fig.set_facecolor('white') |
|
|
|
|
|
df_teams = scrape.get_teams() |
|
|
|
|
|
player_headshot(player_input=player_input, ax=ax_headshot,sport_id=sport_id,season=year_input) |
|
|
player_bio(pitcher_id=player_input, ax=ax_bio,sport_id=sport_id,year_input=year_input) |
|
|
|
|
|
if input.switch(): |
|
|
|
|
|
|
|
|
logo_url = input.logo_select() |
|
|
|
|
|
|
|
|
response = requests.get(logo_url) |
|
|
|
|
|
|
|
|
img = Image.open(BytesIO(response.content)) |
|
|
|
|
|
|
|
|
ax_logo.set_xlim(0, 1.3) |
|
|
ax_logo.set_ylim(0, 1) |
|
|
ax_logo.imshow(img, extent=[0.3, 1.3, 0, 1], origin='upper') |
|
|
|
|
|
|
|
|
ax_logo.axis('off') |
|
|
|
|
|
else: |
|
|
plot_logo(pitcher_id=player_input, ax=ax_logo, df_team=df_teams,df_players=scrape.get_players(sport_id,year_input)) |
|
|
|
|
|
stat_summary_table(df=df, |
|
|
ax=ax_season_table, |
|
|
player_input=player_input, |
|
|
split=input.split_id(), |
|
|
sport_id=sport_id, |
|
|
game_type=[input.type_input()], |
|
|
start_date_input=None, |
|
|
end_date_input=None) |
|
|
|
|
|
|
|
|
for x,y,z in zip([input.plot_id_1(),input.plot_id_2(),input.plot_id_3()],[ax_plot_1,ax_plot_2,ax_plot_3],[1,3,5]): |
|
|
if x == 'velocity_kdes': |
|
|
velocity_kdes(df, |
|
|
ax=y, |
|
|
gs=gs, |
|
|
gs_x=[3,4], |
|
|
gs_y=[z,z+2], |
|
|
fig=fig) |
|
|
if x == 'tj_stuff_roling': |
|
|
tj_stuff_roling(df=df, |
|
|
window=int(input.rolling_window()), |
|
|
ax=y) |
|
|
|
|
|
if x == 'tj_stuff_roling_game': |
|
|
tj_stuff_roling_game(df=df, |
|
|
window=int(input.rolling_window()), |
|
|
ax=y) |
|
|
|
|
|
if x == 'break_plot': |
|
|
break_plot(df = df,ax=y) |
|
|
|
|
|
if x == 'location_plot_lhb': |
|
|
location_plot(df = df,ax=y,hand='L') |
|
|
|
|
|
if x == 'location_plot_rhb': |
|
|
location_plot(df = df,ax=y,hand='R') |
|
|
|
|
|
if x == 'pitch_usage': |
|
|
pitch_usage(df = df,ax=y) |
|
|
|
|
|
summary_table(df=df, |
|
|
ax=ax_table) |
|
|
|
|
|
plot_footer(ax_footer) |
|
|
|
|
|
ax_watermark = fig.add_subplot(gs[1:-1,1:-1],zorder=-1) |
|
|
|
|
|
ax_watermark.set_xticks([]) |
|
|
ax_watermark.set_yticks([]) |
|
|
ax_watermark.set_frame_on(False) |
|
|
|
|
|
img = Image.open('tj stats circle-01_new.jpg') |
|
|
|
|
|
ax_watermark.imshow(img, extent=[0, 1, 0, 1], origin='upper',zorder=-1, alpha=0.1) |
|
|
|
|
|
|
|
|
ax_watermark2 = fig.add_subplot(gs[-2:,1:4],zorder=1) |
|
|
ax_watermark2.set_xlim(0,1) |
|
|
ax_watermark2.set_ylim(0,1) |
|
|
|
|
|
ax_watermark2.set_xticks([]) |
|
|
ax_watermark2.set_yticks([]) |
|
|
ax_watermark2.set_frame_on(False) |
|
|
|
|
|
|
|
|
img = Image.open('tj stats circle-01_new.jpg') |
|
|
|
|
|
width, height = img.size |
|
|
|
|
|
new_width = int(width * 0.5) |
|
|
new_height = int(height * 0.5) |
|
|
|
|
|
img_resized = img.resize((new_width, new_height)) |
|
|
|
|
|
ax_watermark2.imshow(img, extent=[0.26, 0.46, 0.0,0.2], origin='upper',zorder=-1, alpha=1) |
|
|
|
|
|
fig.subplots_adjust(left=0.01, right=0.99, top=0.99, bottom=0.01) |
|
|
|
|
|
|
|
|
|
|
|
@output |
|
|
@render.data_frame |
|
|
@reactive.event(input.generate_plot, ignore_none=False) |
|
|
def grid(): |
|
|
|
|
|
start_date = str(input.date_id()[0]) |
|
|
if not is_valid_date(start_date): |
|
|
return pd.DataFrame({"Message": ["Select range to generate table"]}) |
|
|
df = cached_data() |
|
|
df = df.clone() |
|
|
features_table = ['start_speed', |
|
|
'spin_rate', |
|
|
'extension', |
|
|
'ivb', |
|
|
'hb', |
|
|
'x0', |
|
|
'z0'] |
|
|
|
|
|
|
|
|
|
|
|
selection = ['game_id','pitcher_id','pitcher_name','batter_id','batter_name','pitcher_hand', |
|
|
'batter_hand','balls','strikes','play_code','event_type','pitch_type','vaa','haa']+features_table+['tj_stuff_plus','pitch_grade'] |
|
|
|
|
|
|
|
|
|
|
|
return render.DataGrid( |
|
|
df.select(selection).to_pandas().round(1), |
|
|
row_selection_mode='multiple', |
|
|
height='700px', |
|
|
width='fit-content', |
|
|
filters=True, |
|
|
) |
|
|
|
|
|
|
|
|
@output |
|
|
@render.data_frame |
|
|
@reactive.event(input.generate_plot, ignore_none=False) |
|
|
def grid_game(): |
|
|
if isinstance(input.date_id(), tuple): |
|
|
return pd.DataFrame({"Message": ["Select game to generate table"]}) |
|
|
|
|
|
df = cached_data_daily() |
|
|
df = df.clone() |
|
|
features_table = ['start_speed', |
|
|
'spin_rate', |
|
|
'extension', |
|
|
'ivb', |
|
|
'hb', |
|
|
'x0', |
|
|
'z0'] |
|
|
|
|
|
|
|
|
|
|
|
selection = ['game_id','pitcher_id','pitcher_name','batter_id','batter_name','pitcher_hand', |
|
|
'batter_hand','balls','strikes','play_code','event_type','pitch_type','vaa','haa']+features_table+['tj_stuff_plus','pitch_grade'] |
|
|
|
|
|
|
|
|
|
|
|
return render.DataGrid( |
|
|
df.select(selection).to_pandas().round(1), |
|
|
row_selection_mode='multiple', |
|
|
height='700px', |
|
|
width='fit-content', |
|
|
filters=True, |
|
|
) |
|
|
|
|
|
|
|
|
app = App(app_ui, server) |
