plotting.py

import matplotlib as mpl
import matplotlib.pyplot as plt
from matplotlib import transforms
from matplotlib.colors import LinearSegmentedColormap
import polars as pl
from pyfonts import load_google_font
from scipy.stats import gaussian_kde
import numpy as np
from PIL import Image

from types import SimpleNamespace
import datetime
from datetime import date
import os

from convert import ball_kind_code_to_color, get_text_color_from_color, team_names_short_to_color, get_text_color_from_team
from stats import get_pitcher_stats, filter_data_by_date_and_game_kind


def get_card_data(id, **kwargs):
  both, left, right = get_pitcher_stats(id, **kwargs), get_pitcher_stats(id, 'l', **kwargs), get_pitcher_stats(id, 'r', **kwargs)
  pitcher_stats = both.pitcher_stats.join(left.pitcher_stats, on='pitId', suffix='_left').join(right.pitcher_stats, on='pitId', suffix='_right')
  pitch_stats = both.pitch_stats.join(left.pitch_stats, on='ballKind_code', how='full', suffix='_left').join(right.pitch_stats, on='ballKind_code', how='full', suffix='_right').fill_null(0)
  return SimpleNamespace(
      pitcher_stats=pitcher_stats,
      pitch_stats=pitch_stats,
      both_pitch_shapes=both.pitch_shapes,
      left_pitch_shapes=left.pitch_shapes,
      right_pitch_shapes=right.pitch_shapes
  )


def plot_arsenal(ax, pitches):
  ax.set_xlim(0, 11)
  x = np.arange(len(pitches)) + 0.5
  y = np.zeros(len(pitches))
  ax.scatter(x, y, c=[ball_kind_code_to_color.get(pitch, 'C0') for pitch in pitches], s=170)
  for i, pitch in enumerate(pitches):
    color = ball_kind_code_to_color.get(pitch, 'C0')
    ax.text(x=i+0.5, y=0, s=pitch, horizontalalignment='center', verticalalignment='center', font=font, color=get_text_color_from_color(color))


def plot_usage(ax, usages):
  left = 0
  height = 0.8
  for pitch, usage in usages.iter_rows():
    color = ball_kind_code_to_color[pitch]
    ax.barh(0, usage, height=height, left=left, color=color)
    if usage > 0.1:
      ax.text(left+usage/2, 0, f'{usage:.0%}', horizontalalignment='center', verticalalignment='center', size=8, font=font, color=get_text_color_from_color(color))
    left += usage
  ax.set_xlim(0, 1)
  ax.set_ylim(-height/2, height/2*2.75)


x_range = np.arange(-100, 100+1)
y_range = np.arange(0, 250+1)
X, Y = np.meshgrid(x_range, y_range)


def fit_pred_kde(data):
  kde = gaussian_kde(data)
  Z = kde(np.concat((X, Y)).reshape(2, -1)).reshape(*X.shape)
  return Z


def plot_loc(ax, locs):
  ax.set_aspect('equal', adjustable='datalim')
  ax.set_ylim(-52, 252)
  ax.add_patch(plt.Rectangle((-100, 0), width=200, height=250, facecolor='darkgray', edgecolor='dimgray'))
  ax.add_patch(plt.Rectangle((-80, 25), width=160, height=200, facecolor='gainsboro', edgecolor='dimgray'))
  ax.add_patch(plt.Rectangle((-60, 50), width=120, height=150, fill=False, edgecolor='yellowgreen', linestyle=':'))
  ax.add_patch(plt.Rectangle((-40, 75), width=80, height=100, facecolor='ivory', edgecolor='darkgray'))
  ax.add_patch(plt.Polygon([(0, -10), (45, -30), (51, -50), (-51, -50), (-45, -30), (0, -10)], facecolor='snow', edgecolor='darkgray'))

  for (pitch,), _locs in locs.sort(pl.len().over('general_ballKind_code'), descending=True).group_by('general_ballKind_code', maintain_order=True):
    if len(_locs) <= 2:
      continue
    
    Z = fit_pred_kde(_locs[['x', 'y']].to_numpy().T)
    Z = Z / Z.sum()

    Z_flat = Z.ravel()
    sorted_Z = np.sort(Z_flat)
    sorted_Z_idxs = np.argsort(Z_flat)
    Z_cumsum = (sorted_Z).cumsum()
    t = Z_flat[sorted_Z_idxs[np.argmin(np.abs(Z_cumsum - (1-0.68)))]]

    ax.contourf(X, Y, Z, levels=[t, 1], colors=ball_kind_code_to_color[pitch], alpha=0.5)
    ax.contour(X, Y, Z, levels=t.reshape(1), colors=ball_kind_code_to_color[pitch], alpha=0.75)


def plot_velo(ax, velos):
  trans = transforms.blended_transform_factory(ax.transData, ax.transAxes)
  for (pitch,), _velos in velos.group_by('general_ballKind_code'):
    if len(_velos) <= 1:
      continue

    violin = ax.violinplot(_velos['ballSpeed'], orientation='horizontal', side='high', showextrema=False)
    for _violin in violin['bodies']:
      _violin.set_facecolor(ball_kind_code_to_color[pitch])
    mean = _velos['ballSpeed'].mean()
    ax.text(mean, 0.5, round(mean), horizontalalignment='center', verticalalignment='center', color='gray', alpha=0.75, font=font, transform=trans)


stat_cmap = LinearSegmentedColormap.from_list('stat', colors=['dodgerblue', 'snow', 'crimson'])


def plot_pitch_stats(ax, stats, stat_names):

  ax.set_aspect('equal', adjustable='datalim')

  # axis_to_data = lambda coords: ax.transData.inverted().transform(ax.transAxes.transform(coords))

  table = mpl.table.Table(ax)
  rows = len(stat_names) + 1
  cols = len(stats) + 1

  cell_height = 1/rows
  cell_width = 1/cols


  for row, stat in enumerate(stat_names, start=1):
    cell = table.add_cell(row=row, col=0, width=cell_width, height=cell_height, text=stat, loc='center', fontproperties=font, edgecolor='white')

  for col, pitch in enumerate(stats['ballKind_code'], start=1):

    color = ball_kind_code_to_color.get(pitch, 'C0')
    cell = table.add_cell(row=0, col=col, width=cell_width, height=cell_height, text=pitch, loc='center', fontproperties=font, facecolor=color, edgecolor='white')
    cell.get_text().set_color(get_text_color_from_color(color))

    _stats = stats.filter(pl.col('ballKind_code') == pitch)
    qualified = _stats['qualified'].item()
    for row, stat_name in enumerate(stat_names, start=1):
      stat = _stats[stat_name].item()
      stat_pctl = _stats[f'{stat_name}_pctl'].item()
      cell = table.add_cell(row=row, col=col, width=cell_width, height=cell_height, text=f'{stat:.0%}', loc='center', fontproperties=font, facecolor=(stat_cmap([0, stat_pctl, 1])[1] if qualified else 'gainsboro'), edgecolor='white')
      if not qualified:
        cell.get_text().set_color('gray')
  ax.add_artist(table)


def plot_pitcher_stats(ax, stats, stat_names):

  ax.set_aspect('equal', adjustable='datalim')

  table = mpl.table.Table(ax)

  cell_height = 1
  cell_width = 1/(len(stat_names)*2)

  qualified = stats['qualified'].item()

  for i, stat_name in enumerate(stat_names):
    stat = stats[stat_name].item()
    stat_pctl = stats[f'{stat_name}_pctl'].item()

    table.add_cell(row=0, col=i*2, width=cell_width, height=cell_height, text=stat_name, loc='center', fontproperties=font, edgecolor='white')
    cell = table.add_cell(row=0, col=i*2+1, width=cell_width, height=cell_height, text=f'{stat:.0%}', loc='center', fontproperties=font, facecolor=(stat_cmap([0, stat_pctl, 1])[1] if qualified else 'gainsboro'), edgecolor='white')
    if not qualified:
      cell.get_text().set_color('gray')
  ax.add_artist(table)


font = load_google_font('Saira Extra Condensed', weight='medium')


def create_pitcher_overview_card(id, season, dpi=300):
  data = get_card_data(id, start_date=date(season, 1, 1), end_date=date(season, 12, 31), game_kind='Regular Season', min_pitches=100, pitch_class_type='general')

  fig = plt.figure(figsize=(1080/300, 1350/300), dpi=dpi)
  gs = fig.add_gridspec(8, 6, height_ratios=[1, 1, 1.5, 6, 1, 3, 1, 0.5])
  title_ax = fig.add_subplot(gs[0, :])
  title_ax.text(x=0, y=0, s=data.pitcher_stats['pitcher_name'].item().upper(), verticalalignment='baseline', font=font, size=20)
  # title_ax.text(x=1, y=1, s='2021\n-2023', horizontalalignment='right', verticalalignment='top', font=font, size=8)
  title_ax.text(x=0.95, y=0, s=season, horizontalalignment='right', verticalalignment='baseline', font=font, size=20)
  title_ax.text(x=1, y=0.5, s='REG', horizontalalignment='right', verticalalignment='center', font=font, size=10, rotation='vertical')

  arsenal_ax = fig.add_subplot(gs[1, :])
  plot_arsenal(arsenal_ax, data.pitch_stats['ballKind_code'])


  usage_l_ax = fig.add_subplot(gs[2, :3])
  plot_usage(usage_l_ax, data.pitch_stats[['ballKind_code', 'usage_left']])
  usage_l_ax.text(0, 1, 'LHH usage', horizontalalignment='left', verticalalignment='top', linespacing=0.5, color='gray', font=font, size=10, transform=usage_l_ax.transAxes)

  usage_r_ax = fig.add_subplot(gs[2, 3:])
  plot_usage(usage_r_ax, data.pitch_stats[['ballKind_code', 'usage_right']])
  usage_r_ax.text(0, 1, 'RHH usage', horizontalalignment='left', verticalalignment='top', linespacing=0.5, color='gray', font=font, size=10, transform=usage_r_ax.transAxes)

  loc_l_ax = fig.add_subplot(gs[3, :3])
  loc_l_ax.text(0, 1, 'LHH\nloc', verticalalignment='top', horizontalalignment='left', color='gray', font=font, size=10, transform=loc_l_ax.transAxes)
  plot_loc(loc_l_ax, data.left_pitch_shapes)

  loc_r_ax = fig.add_subplot(gs[3, 3:])
  loc_r_ax.text(0, 1, 'RHH\nloc', verticalalignment='top', horizontalalignment='left', color='gray', font=font, size=10, transform=loc_r_ax.transAxes)
  plot_loc(loc_r_ax, data.right_pitch_shapes)

  velo_ax = fig.add_subplot(gs[4, :])
  plot_velo(velo_ax, data.both_pitch_shapes)
  velo_ax.text(0, 1, 'Velo', verticalalignment='top', horizontalalignment='left', color='gray', font=font, size=10, transform=velo_ax.transAxes)

  pitch_stats_ax = fig.add_subplot(gs[5, :])
  plot_pitch_stats(pitch_stats_ax, data.pitch_stats, ['CSW%', 'GB%'])

  pitcher_stats_ax = fig.add_subplot(gs[6, :])
  plot_pitcher_stats(pitcher_stats_ax, data.pitcher_stats, ['CSW%', 'K%', 'BB%', 'GB%'])


  # k_ax = fig.add_subplot(gs[5, :2])
  # plot_stat(k_ax, data.pitcher_stats, 'K%')

  # bb_ax = fig.add_subplot(gs[5, 2:4])
  # plot_stat(bb_ax, data.pitcher_s`tats, 'BB%')

  # gb_ax = fig.add_subplot(gs[5, 4:])
  # plot_stat(gb_ax, data.pitcher_stats, 'GB%')

  credits_ax = fig.add_subplot(gs[7, :])
  credits_ax.text(x=0, y=0.5, s='Data: SPAIA, Sanspo', verticalalignment='center', font=font, size=7)
  credits_ax.text(x=1, y=0.5, s='@yakyucosmo', horizontalalignment='right', verticalalignment='center', font=font, size=7)

  for ax in [
      title_ax,
      arsenal_ax,
      usage_l_ax, usage_r_ax,
      loc_l_ax, loc_r_ax,
      velo_ax,
      # k_ax, bb_ax, gb_ax,
      pitch_stats_ax,
      pitcher_stats_ax,
      credits_ax
  ]:
    ax.axis('off')
    ax.tick_params(
        axis='both',
        which='both',
        length=0,
        labelbottom=False,
        labelleft=False
    )

  return fig
# fig = create_card('1600153', season=2023, dpi=300)
# plt.show()

# DAILY/WEEKLY LEADERBOARDS

def get_whiff_leaderboard_data(data, leaders, include_date):
  data = (
      data
      .group_by('pitId', 'pitcher_team_name_short', 'date')
      .agg(
          pl.col('pitcher_name').first(),
          pl.col('whiff').sum().alias('Whiffs')
      )
      .sort(['Whiffs', 'pitcher_name'], descending=[True, False])
  )
  # if len(data) > 0:
    # data = data.filter(pl.col('Whiffs') >= data['Whiffs'][min(leaders, len(data)-1)])
  data = (
      data  
      .rename({'pitcher_name': 'Player', 'pitcher_team_name_short': 'Team'})
      .with_columns(
          pl.col('date').dt.to_string('%m.%d').alias('Date'),
          pl.col('Whiffs').rank(descending=True, method='min').alias('Rank')
      )
      [['Rank', 'Team', 'Player'] + (['Date'] if include_date else []) + ['Whiffs']]
      # .with_row_index('Rank', 1)
  )
  # data = data.filter(pl.col('Rank') <= leaders)
  data = data.filter(pl.col('Rank') <= data.group_by('Rank').agg(pl.len()).sort('Rank').filter(pl.col('len').cum_sum()>=leaders)['Rank'].min())
  return data

  
def get_velo_leaderboard_data(data, leaders):
  data = data.sort(['ballSpeed', 'pitcher_name'], descending=[True, False])
  # if len(data) > 0:
    # data = data.filter(pl.col('ballSpeed') >= data['ballSpeed'][min(leaders, len(data)-1)])
  data = (
      data
      .rename({'ballSpeed': 'KPH', 'pitcher_name': 'Player', 'pitcher_team_name_short': 'Team'})
      # .with_row_index('Rank', 1)
      .with_columns(
          (pl.col('KPH') / 1.609).round(1).alias('MPH'),
          pl.col('KPH').rank(descending=True, method='min').alias('Rank')
      )
      [['Rank', 'Team', 'Player', 'KPH', 'MPH']]
      
  )
  # data = data.filter(pl.col('Rank') <= leaders)
  data = data.filter(pl.col('Rank') <= data.group_by('Rank').agg(pl.len()).sort('Rank').filter(pl.col('len').cum_sum()>=leaders)['Rank'].min())
  return data


def create_daily_weekly_leaderboard(stat, leaderboard_date, time_type, leaders, data):

  font = load_google_font('Saira Extra Condensed', weight='medium')
  bold_font = load_google_font('Saira Extra Condensed', weight='bold')
  date_font = load_google_font('Lekton', weight='bold')

  assert stat in ('velo', 'whiff')
  assert time_type in ('daily', 'weekly')

  if time_type == 'daily':
    data = filter_data_by_date_and_game_kind(data, start_date=leaderboard_date, end_date=leaderboard_date)
  else:
    monday = leaderboard_date - datetime.timedelta(days=leaderboard_date.weekday())
    sunday = leaderboard_date + datetime.timedelta(days=6-leaderboard_date.weekday())
    data = filter_data_by_date_and_game_kind(data, start_date=monday, end_date=sunday)
  
  leaderboard = get_velo_leaderboard_data(data, leaders) if stat == 'velo' else get_whiff_leaderboard_data(data, leaders, include_date=time_type=='weekly')
  stats = [col for col in leaderboard.columns if col not in ['Rank', 'Team', 'Player']]
  stat_col_lens = [1 if max(leaderboard[stat].cast(pl.String).str.len_chars().max() or 0, len(stat)) < 5 else 1.5 for stat in stats]

  dpi = 300

  fig = plt.figure(figsize=(1080/300, 1350/300), dpi=dpi)
  gs = fig.add_gridspec(
    max(len(leaderboard), 1)+2, 
    3+len(stats), 
    height_ratios=[1] + ([9/(len(leaderboard)+1)] * (len(leaderboard)+1) if len(leaderboard) else [1, 8]),
    width_ratios=[1, 1, 8-sum(stat_col_lens)] + stat_col_lens
  )

  data_offset = 2

  axs = []
  def create_and_add_subplot(indexed_gs):
    ax = fig.add_subplot(indexed_gs)
    axs.append(ax)
    return ax

  title_ax = create_and_add_subplot(gs[0, :])
  title_ax.text(0, 0.1, f'{time_type.upper()} {stat.upper()} LEADERBOARD', verticalalignment='baseline', font=bold_font, size=15)
  
  if time_type == 'daily':
    title_ax.text(1, 0.1, leaderboard_date.strftime('%Y.%m.%d (%a)'), verticalalignment='baseline', horizontalalignment='right', font=date_font, size=7)
  else:

    title_ax.text(1, 0.1, monday.strftime('%Y.%m.%d (%a)')+'\n-'+sunday.strftime('%Y.%m.%d (%a)'), verticalalignment='baseline', horizontalalignment='right', font=date_font, size=7)

  rank_ax = create_and_add_subplot(gs[data_offset-1, 0])
  rank_ax.text(0.5, 0, 'RANK', verticalalignment='bottom', horizontalalignment='center', font=bold_font)

  team_ax = create_and_add_subplot(gs[data_offset-1, 1])
  team_ax.text(0.5, 0, 'TEAM', verticalalignment='bottom', horizontalalignment='center', font=bold_font)

  player_ax = create_and_add_subplot(gs[data_offset-1, 2])
  player_ax.text(0, 0, 'PLAYER', verticalalignment='bottom', font=bold_font)

  for col, stat in enumerate(stats, start=3):
    stat_ax = create_and_add_subplot(gs[data_offset-1, col])
    stat_ax.text(0.5, 0, stat.upper(), verticalalignment='bottom', horizontalalignment='center', font=bold_font)

  midline_ax = create_and_add_subplot(gs[data_offset-1, :])
  midline_ax.add_patch(plt.Rectangle((0, 0), 1, 0.01, color='black'))

  if len(leaderboard) == 0:
    blank_ax = create_and_add_subplot(gs[data_offset:])

  for i, row in enumerate(leaderboard.iter_rows()):
    rank, team, player, *stats = row
    rank_ax = create_and_add_subplot(gs[i+data_offset, 0])
    rank_ax.text(0.5, 0.5, rank, verticalalignment='center_baseline', horizontalalignment='center', font=font)

    team_ax = create_and_add_subplot(gs[i+data_offset, 1])
    image = Image.open(os.path.join('assets', 'white_insignias', f'{team.lower()}.png'))

    w, h = image.size
    new_longer_side = 512
    if w > h:
      w, h = (new_longer_side, round(h*new_longer_side/w))
    else:
      w, h = (round(w*new_longer_side/h), new_longer_side)
    image = image.resize((w, h))
    ax_s = 512*1.5
    team_ax.set_xlim(0, ax_s)
    team_ax.set_ylim(0, ax_s)
    image = np.array(image)
    circle = plt.Circle((ax_s/2, ax_s/2), radius=ax_s/2, color=team_names_short_to_color[team], clip_on=False, zorder=1)
    team_ax.add_patch(circle)
    team_ax.imshow(
        image[..., -1],
        cmap=LinearSegmentedColormap.from_list('tmp', [team_names_short_to_color[team], 'black' if team in ('Lotte', 'Hanshin') else 'white']),
        extent=((ax_s-w)/2, ax_s-(ax_s-w)/2, (ax_s-h)/2, ax_s-(ax_s-h)/2),
        zorder=2
    )

    player_ax = create_and_add_subplot(gs[i+data_offset, 2])
    player_ax.text(0.02, 0.5, player.upper(), verticalalignment='center_baseline', font=font, color=get_text_color_from_team(team))
    player_ax.add_patch(plt.Polygon([(0, 0), (0.98, 0), (1, 0.5), (1, 1), (0, 1)], color=team_names_short_to_color[team], clip_on=False))

    for col, stat in enumerate(stats, start=3):
      stat_ax = create_and_add_subplot(gs[i+data_offset, col])
      stat_ax.text(0.5, 0.5, stat, verticalalignment='center_baseline', horizontalalignment='center', font=font)
    
  for ax in axs:
    ax.axis('off')
    ax.tick_params(
        axis='both',
        which='both',
        length=0,
        labelbottom=False,
        labelleft=False
    )
  return fig