axis=False,
title_height=0.08, grid_height=0.84)
# cycle through the grid axes and plot the player pass maps
for idx, ax in enumerate(axs['pitch'].flat):
# only plot the pass maps up to the total number of players
if idx < num_players:
# filter the complete/incomplete passes for each player (excudes throw-ins)
lineup_player = lineup_team.iloc[idx]
player_id = lineup_player.player_id
player_pass = passes_excl_throw[passes_excl_throw.player_id == player_id]
complete_pass = player_pass[player_pass.outcome_name.isnull()]
incomplete_pass = player_pass[player_pass.outcome_name.notnull()]
# plot the arrows
pitch.arrows(complete_pass.x, complete_pass.y,
complete_pass.end_x, complete_pass.end_y,
color='#56ae6c', width=2, headwidth=4, headlength=6, ax=ax)
pitch.arrows(incomplete_pass.x, incomplete_pass.y,
incomplete_pass.end_x, incomplete_pass.end_y,
color='#7065bb', width=2, headwidth=4, headlength=6, ax=ax)
# plot the title for each player axis
# here we use f-strings to combine the variables from the dataframe and text
# we plot the title at x=0, y=-5
# this is the left hand-side of the pitch (x=0) and between
# top of the y-axis (y=0) and the top of the padding (y=-10, remember pad_top = 10)
# note that the StatsBomb y-axis is inverted, so you may need
# to change this if you use another pitch_type (e.g. 'uefa').
# We also use the highlight-text package to highlight complete_pass green
# so put <> around the number of completed passes.
total_pass = len(complete_pass) + len(incomplete_pass)
##############################################################################
# View the pass dataframe.
df_pass.head()
##############################################################################
# Plotting
# Setup the pitch
pitch = Pitch(pitch_type='statsbomb', pitch_color='#22312b', line_color='#c7d5cc')
fig, ax = pitch.draw(figsize=(16, 11), constrained_layout=True, tight_layout=False)
# Plot the completed passes
pitch.arrows(df_pass[mask_complete].x, df_pass[mask_complete].y,
df_pass[mask_complete].end_x, df_pass[mask_complete].end_y, width=2,
headwidth=10, headlength=10, color='#ad993c', ax=ax, label='completed passes')
# Plot the other passes
pitch.arrows(df_pass[~mask_complete].x, df_pass[~mask_complete].y,
df_pass[~mask_complete].end_x, df_pass[~mask_complete].end_y, width=2,
headwidth=6, headlength=5, headaxislength=12,
color='#ba4f45', ax=ax, label='other passes')
# setup the legend
ax.legend(facecolor='#22312b', handlelength=5, edgecolor='None', fontsize=20, loc='upper left')
# Set the title
ax.set_title(f'{team1} passes vs {team2}', fontsize=30)
# Set the figure facecolor