# draw
fig, ax = pitch.draw(
figsize=(16, 9),
ncols=3,
nrows=1,
)
# heatmap specified by (nx, ny) for horizontal pitch
bins = [(6, 5), (1, 5), (6, 1)]
for i, bin_dimension in enumerate(bins):
bin_statistic = pitch.bin_statistic(df.x,
df.y,
statistic='count',
bins=bin_dimension)
# draw
pitch.heatmap(bin_statistic,
ax=ax[i],
cmap='coolwarm',
edgecolors='#22312b')
pitch.scatter(df.x, df.y, c='white', s=2, ax=ax[i])
# replace raw counts with percentages and add percentage sign
# (note immutable named tuple so used _replace)
bin_statistic['statistic'] = ((pd.DataFrame(
(bin_statistic['statistic'] / bin_statistic['statistic'].sum()
))).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)
axes[i, 1].text(0,
0.5,
cmap.name,
va='center',
fontsize=20,
fontproperties=fm.prop)
##############################################################################
# Cyan colormap heatmap
pitch = VerticalPitch(line_color='#cfcfcf',
line_zorder=2,
pitch_color='#122c3d')
fig, ax = pitch.draw(figsize=(4.4, 6.4))
bs = pitch.bin_statistic(df.x, df.y, bins=(12, 8))
heatmap = pitch.heatmap(bs,
edgecolors='#122c3d',
ax=ax,
cmap=pearl_earring_cmap)
##############################################################################
# Cyan colormap hexbin
fig, ax = pitch.draw()
hexmap = pitch.hexbin(df.x,
df.y,
ax=ax,
edgecolors='#122c3d',
gridsize=(8, 8),
cmap=pearl_earring_cmap)
##############################################################################
# Cyan colormap kdeplot
pitch = VerticalPitch(line_color='#cfcfcf',