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import streamlit as st
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.patches import Circle, Rectangle, Arc
import matplotlib.colors
def seasons_of_player( playerId ):
df = pd.read_html('https://www.basketball-reference.com/players/%s.html' % (playerId) )
try:
seasons = df[0]['Season']
games_played = pd.to_numeric(df[0]['G'], errors='coerce')
except:
seasons = df[1]['Season']
games_played = pd.to_numeric(df[1]['G'], errors='coerce')
seasons_played = seasons[ games_played>0 ]
seasons_with_shots = [s for s in seasons_played if '-' in s and (int(s.split('-')[0])>=1996)]
return seasons_with_shots
st.set_page_config(page_title='NBA shots', page_icon=":basketball:")
st.sidebar.title('Mapping NBA shots')
if False:
playerId = {
'Ray Allen':'a/allenra02',
'Kobe Bryant':'b/bryanko01',
'Stephen Curry':'c/curryst01',
'James Harden':'h/hardeja01',
'Allen Iverson':'i/iversal01',
'Michael Jordan':'j/jordami01',
'Damian Lillard':'l/lillada01',
'Karl Malone':'m/malonka01',
'Reggie Miller':'m/millere01',
'Dirk Nowitzki':'n/nowitdi01',
"Shaquille O'Neal":'o/onealsh01',
'Trae Young':'y/youngtr01',
'Victor Wembanyama':'w/wembavi01',
}
else:
import json
playerId = json.load(open("all_player_names.txt"))
selected = st.sidebar.selectbox('Select or type a player name:', ['']+list(playerId.keys()), format_func=lambda x: '...' if x == '' else x)
if selected:
#st.success('Yay! 🎉')
seasons_with_shots = seasons_of_player( playerId[selected] )
season = st.sidebar.selectbox('Season:',seasons_with_shots)
if season:
seasonYearEnd = str(int(season.split('-')[0]) + 1)
urlShots = 'https://www.basketball-reference.com/players/%s/shooting/%s' % (playerId[selected],seasonYearEnd)
else:
st.warning('No player selected')
urlShots = ''
# Checkboxes:
left, right = st.sidebar.columns(2)
# Range slider:
valuesRange = st.sidebar.slider(
'Percentage limits for "bad" and "good" shots:',
0.0, 100.0, (10.0, 50.0))
colorBAD = left.color_picker('bad', '#ff0000')
colorGOOD = right.color_picker('good', '#97ff33')
with left:
draw_court_box = st.sidebar.checkbox('Draw court',value=True)
with right:
draw_title_box = st.sidebar.checkbox('Add title',value=True)
def draw_court(ax=None, color='black', lw=2, outer_lines=False):
# If an axes object isn't provided to plot onto, just get current one
if ax is None:
ax = plt.gca()
# Create the various parts of an NBA basketball court
# Create the basketball hoop
# Diameter of a hoop is 18" so it has a radius of 9", which is a value
# 7.5 in our coordinate system
hoop = Circle((0, 0), radius=7.5, linewidth=lw, color=color, fill=False)
# Create backboard
backboard = Rectangle((-30, -7.5), 60, -1, linewidth=lw, color=color)
# The paint
# Create the outer box 0f the paint, width=16ft, height=19ft
outer_box = Rectangle((-80, -47.5), 160, 190, linewidth=lw, color=color,
fill=False)
# Create the inner box of the paint, widt=12ft, height=19ft
inner_box = Rectangle((-60, -47.5), 120, 190, linewidth=lw, color=color,
fill=False)
# Create free throw top arc
top_free_throw = Arc((0, 142.5), 120, 120, theta1=0, theta2=180,
linewidth=lw, color=color, fill=False)
# Create free throw bottom arc
bottom_free_throw = Arc((0, 142.5), 120, 120, theta1=180, theta2=0,
linewidth=lw, color=color, linestyle='dashed')
# Restricted Zone, it is an arc with 4ft radius from center of the hoop
restricted = Arc((0, 0), 80, 80, theta1=0, theta2=180, linewidth=lw,
color=color)
# Three point line
# Create the side 3pt lines, they are 14ft long before they begin to arc
corner_three_a = Rectangle((-220, -47.5), 0, 140, linewidth=lw,
color=color)
corner_three_b = Rectangle((220, -47.5), 0, 140, linewidth=lw, color=color)
# 3pt arc - center of arc will be the hoop, arc is 23'9" away from hoop
# I just played around with the theta values until they lined up with the
# threes
three_arc = Arc((0, 0), 475, 475, theta1=22, theta2=158, linewidth=lw,
color=color)
# Center Court
center_outer_arc = Arc((0, 422.5), 120, 120, theta1=180, theta2=0,
linewidth=lw, color=color)
center_inner_arc = Arc((0, 422.5), 40, 40, theta1=180, theta2=0,
linewidth=lw, color=color)
# List of the court elements to be plotted onto the axes
court_elements = [hoop, backboard, outer_box, inner_box, top_free_throw,
bottom_free_throw, restricted, corner_three_a,
corner_three_b, three_arc, center_outer_arc,
center_inner_arc]
if outer_lines:
# Draw the half court line, baseline and side out bound lines
outer_lines = Rectangle((-250, -47.5), 500, 470, linewidth=lw,
color=color, fill=False)
court_elements.append(outer_lines)
# Add the court elements onto the axes
for element in court_elements:
ax.add_patch(element)
return ax
def html_to_shot_table( html ):
full_table = []
for line in str(html).split('<div class="shot-area">')[1].split('<div'):
if 'style="top:' in line:
top = int(line.split('top:')[1].split('px')[0])
left = int(line.split('left:')[1].split('px')[0])
game = line.split('tip="')[1].split('<br>')[0]
clock = line.split('<br>')[1].split('<br>')[0]
description = line.split('<br>')[2]
score = line.split('<br>')[3].split('"')[0]
made = 1
if 'tooltip miss' in line:
made = 0
#print(line)
#print(top,left,game,clock,description,score)
full_table.append( [top,left,game,clock,description,score,made] )
return full_table
# get the html:
from urllib.request import urlopen
try:
if 'http' in urlShots:
html = urlopen(urlShots).read()
full_table = html_to_shot_table( html )
import pandas as pd
df = pd.DataFrame(full_table,
columns='top,left,game,clock,description,score,made'.split(','))
X = -1*df['left'] + 240
Y = df['top'] - 45
hbMade = plt.hexbin(X[ df['made']==1 ], Y[ df['made']==1 ], gridsize=(40,20), cmap='cool',
extent=(-250,250,-50,420) )
hbMissed = plt.hexbin(X[ df['made']==0 ], Y[ df['made']==0 ], gridsize=(40,20), cmap='cool',
extent=(-250,250,-50,420) )
plt.clf() # to flush the two plots we just made: we only wanted to catch the output
pctMade = hbMade.get_array() / (hbMade.get_array() + hbMissed.get_array())
# Now convert these numbers to colours:
import numpy as np
pctMade[ np.isnan(pctMade) ] = 0
plt.figure(figsize=(9,8.5))
plt.subplot(111,facecolor='k')
draw_court(outer_lines=True, color="#444444")
plt.xlim(-251,251)
plt.ylim(-47,423)
plt.gca().set_facecolor('k')
hb = plt.hexbin(X, Y, gridsize=(40,20), cmap='turbo',
extent=(-250,250,-50,420))
total_count = hb.get_array()
# convert the number to size:
new_size = 0.005*total_count
new_size[ new_size>0.1 ] = 0.1
plt.clf()
# Replot:
plt.figure(figsize=(9,8.5),facecolor='#111111')
plt.subplot(111,facecolor='#111111')
if draw_court_box:
draw_court(outer_lines=True, color="#444444")
plt.xlim(-252,252)
plt.ylim(-50,425)
plt.xticks([]); plt.yticks([])
plt.gca().set_facecolor('k')
hb = plt.hexbin(X, Y, gridsize=(40,20), cmap='cool',
extent=(-250,250,-50,420),
sizes=new_size)
ax = plt.gca()
ax.figure.canvas.draw()
# Now iterate over bins to change their colours:
fcolors = hb.get_facecolors()
for iii in range(len(fcolors)):
if pctMade[iii] < valuesRange[0]/100.:
fcolors[iii] = list(matplotlib.colors.to_rgb(colorBAD))+[1] #[1., 0., 0., 1.]
elif pctMade[iii] > valuesRange[1]/100.:
fcolors[iii] = list(matplotlib.colors.to_rgb(colorGOOD))+[1] #[0.6, 1., 0.2, 1.]
else:
fcolors[iii] = [0.9, 0.9, 0.9, 1.]
hb.set(array=None, facecolors=fcolors)
if draw_title_box:
plt.text(-230,390,selected,color='w',fontsize=20,fontweight='bold')
plt.text(-230,360,season,color='w',fontsize=18,fontweight='bold')
st.pyplot(plt.gcf())
st.write('Data from:',urlShots)
except:
st.warning(f'It looks like there is no available shot data for {selected}. Detailed shot locations are typically not available before the 1996-97 season.')
st.write(f'You can check his stats at:\nhttps://www.basketball-reference.com/players/{playerId[selected]}.html')
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