# -----------------------
# setup pitch
pitch = VerticalPitch(pitch_type='statsbomb',
line_zorder=2,
pitch_color='#22312b',
line_color='white')
# draw
fig, ax = pitch.draw(figsize=(4.125, 6))
bin_statistic = pitch.bin_statistic_positional(df.x,
df.y,
statistic='count',
positional='full',
normalize=True)
pitch.heatmap_positional(bin_statistic,
ax=ax,
cmap='coolwarm',
edgecolors='#22312b')
pitch.scatter(df.x, df.y, c='white', s=2, ax=ax)
labels = pitch.label_heatmap(bin_statistic,
color='#f4edf0',
fontsize=18,
ax=ax,
ha='center',
va='center',
str_format='{:.0%}',
path_effects=path_eff)
##############################################################################
# Plot the chart again with a title
# ---------------------------------
# We will use mplsoccer's grid function to plot a pitch with a title and endnote axes.
'tactics_lineup_df': False, 'warn': False}
df = pd.concat([read_event(f'{EVENT_SLUG}/{file}', **kwargs)['event'] for file in match_files])
# filter chelsea pressure events
mask_chelsea_pressure = (df.team_name == 'Chelsea FCW') & (df.type_name == 'Pressure')
df = df.loc[mask_chelsea_pressure, ['x', 'y']]
##############################################################################
# Plot the heatmaps
# setup pitch
pitch = VerticalPitch(pitch_type='statsbomb', line_zorder=2,
pitch_color='#22312b', line_color='white')
# draw
fig, ax = pitch.draw(figsize=(16, 9), ncols=3, nrows=1)
positions = ['full', 'horizontal', 'vertical']
for i, pos in enumerate(positions):
bin_statistic = pitch.bin_statistic_positional(df.x, df.y, statistic='count', positional=pos)
pitch.heatmap_positional(bin_statistic, ax=ax[i], cmap='coolwarm', edgecolors='#22312b')
pitch.scatter(df.x, df.y, c='white', s=2, ax=ax[i])
total = np.array([bs['statistic'].sum() for bs in bin_statistic]).sum()
# replace raw counts with percentages and add percentage
# sign (note immutable named tuple so used _replace)
for bs in bin_statistic:
bs['statistic'] = (pd.DataFrame(bs['statistic'] / total)
.applymap(lambda x: '{:.0%}'.format(x))
.values)
pitch.label_heatmap(bin_statistic, color='white', fontsize=18,
ax=ax[i], ha='center', va='bottom')
TITLE_STR = 'Location of pressure events - 3 home games for Chelsea FC Women'
title = fig.suptitle(TITLE_STR, x=0.5, y=0.98, fontsize=30,)