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.
pitch = VerticalPitch(pitch_type='statsbomb',
line_zorder=2,
pitch_color='#1e4259')
fig, axs = pitch.grid(
endnote_height=0.03,
endnote_space=0,
title_height=0.08,
title_space=0,
# Turn off the endnote/title axis. I usually do this after
# I am happy with the chart layout and text placement
axis=False,
grid_height=0.84)
fig.set_facecolor('#1e4259')
# heatmap and labels
bin_statistic = pitch.bin_statistic_positional(df.x,
df.y,
statistic='count',
positional='full',
normalize=True)
pitch.heatmap_positional(bin_statistic,
ax=axs['pitch'],
cmap=pearl_earring_cmap,
all_cmap_dict[key] = cmap
##############################################################################
# Cmasher kdeplot
# ---------------
# Here's all the cmasher colormaps plotted as a grid so you can find your
# favorite.
pitch = VerticalPitch(line_color='#cfcfcf',
line_zorder=2,
pitch_color='#122c3d')
fig, axs = pitch.grid(
nrows=11,
ncols=4,
space=0.1,
figheight=40,
title_height=0,
endnote_height=0, # no title/ endnote
grid_width=0.9,
grid_height=0.98,
bottom=0.01,
left=0.05)
cmap_names = list(all_cmap_dict.keys())
for idx, ax in enumerate(axs['pitch'].flat):
cmap_name = f'cmr.{cmap_names[idx]}'
cmap = all_cmap_dict[cmap_names[idx]]
kdeplot = pitch.kdeplot(df.x,
df.y,
ax=ax,
cmap=cmap,
shade=True,
levels=100)
