databyjp

import weaviate
from weaviate.collections import Collection
from weaviate.collections.classes.types import GeoCoordinate
from tqdm import tqdm
from typing import List
import os
import json
from datetime import date, datetime

client = weaviate.connect_to_wcs(

databyjp

databyjp

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
	<key>EnvironmentVariables</key>
	<dict>
		<key>PATH</key>
		<string>/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/sbin</string>
	</dict>
	<key>ExitTimeOut</key>

databyjp

    yr_ranges = None
    if len(sys.argv) < 3:
        logger.info(f'Season year arguments not provided')
    else:
        try:
            if 2040 > int(sys.argv[1]) > 1980 and 2040 > int(sys.argv[2]) > 1980:
                yr_ranges = [int(sys.argv[1]), int(sys.argv[2])]
            else:
                logger.error(f'The arguments should season years (e.g. 2021 2020) when data is available')
        except:

databyjp

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
	<key>EnvironmentVariables</key>
	<dict>
		<key>PATH</key>
		<string>/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/sbin</string>
	</dict>
	<key>KeepAlive</key>

databyjp

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
	<key>EnvironmentVariables</key>
	<dict>
		<key>PATH</key>
		<string>/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/sbin</string>
	</dict>
	<key>Label</key>

databyjp

for gm_id in gm_ids:
    shot_blot_dfs = list()
    gm_df = playoffs_df[playoffs_df.GAME_ID == gm_id]
    game_date = gm_df["realtime_dt"].min().date()
    game_date_str = f"{game_date.day}_{game_date.strftime('%b')}_{game_date.strftime('%Y')}"
    tm_ids = gm_df.teamId.unique()
    tm_abvs = [teams.find_team_name_by_id(tm_id)['abbreviation'] for tm_id in tm_ids]
    for tm_id in tm_ids:
        tmp_dfs = list()
        tm = teams.find_team_name_by_id(tm_id)

databyjp

fig = px.scatter(shot_blot_df,
                 title=f'{latest_day_str} - Playoff game shot profiles',
                 x="filt_avg", y="segment", size="pts_pct_x",
                 color="shot_ev", color_continuous_scale=px.colors.sequential.Blues,
                 facet_row="group", facet_col="shot_type",
                 template="plotly_white", width=1200, height=750,
                 range_color=[0.7, 1.7],
                 labels={'filt_avg': 'Distance from the rim', 'segment': 'Sample size',
                         'pts_pct_x': 'Proportion of points', 'shot_ev': 'Expected<BR>points<BR>per shot'}
                 )

databyjp

import plotly.express as px
fig = px.scatter(shot_blot_df,
                 title=f'{latest_day_str} - Playoff game shot profiles',
                 x="filt_avg", y="segment", size="shot_freq_x",
                 color="shot_acc_x", color_continuous_scale=px.colors.sequential.Blues,
                 facet_row="group",
                 template="plotly_white", width=1200, height=750,
                 labels={'filt_avg': 'Distance from the rim', 'segment': 'Sample size',
                         'pts_pct_x': 'Proportion of points', 'shot_ev': 'Expected<BR>points<BR>per shot'}
                 )

databyjp

import pandas as pd
import utils
from scipy.spatial.distance import cosine
from nba_api.stats.static import teams

shots_df = utils.load_shots_df()
gdf = utils.get_shot_dist_df(shots_df)

# FILTER GAMES FOR THE LATEST DAY
day_df = shots_df[shots_df["timeActual"].dt.date == shots_df["timeActual"].dt.date.max()]