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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( |
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<?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> |
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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: |
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<?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> |
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<?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> |
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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) |
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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'} | |
) |
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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'} | |
) |
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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()] |
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