Advanced Visualizations

Advanced Visualizations#

Density plots, heatmaps, and joint distributions for in-depth shot pattern analysis.

KDE (Kernel Density Estimation)#

Smooth contour plots showing shot concentration.

Green

Red

Blue

Green

Red

Blue

 
court.kdeplot(ax, x, y, cmap='bsu_green', levels=50, alpha=0.6)

Colormaps: bsu_green, bsu_red, bsu_blue

Heatmap (Grid)#

Frequency distribution across grid cells.

Counts

Frequency (%)

Counts

Frequency

 
court.heatmap(ax, x, y, gridsize=8, statistic='frequency', half=True)

Hexbin#

Honeycomb-style density visualization.

Full Court

Half Court

Full

Half

 
court.hexbin(ax, x, y, gridsize=20, cmap='bsu_green', half=True)

Sonar Chart#

Shot direction distribution from court zones.

6-Direction

8-Direction

Custom

6-Dir

8-Dir

Custom

 
from BsuTennis import sonar_from_shots

sonar_from_shots(ax, shot_x, shot_y, shot_dx, shot_dy,
                 n_zones_x=3, n_zones_y=2, n_directions=6)

Joint Plots#

Court visualization with marginal distributions.

Full Court (Two Players)#

Joint KDE

from BsuTennis import joint_plot

fig, ax = joint_plot(p1_x, p1_y, p2_x, p2_y, kind='kde', half=False)

Half Court#

Scatter

Grid

Scatter

Grid

 
fig, ax = joint_plot(x, y, kind='scatter', half=True)
fig, ax = joint_plot(x, y, kind='grid', half=True)

Types: scatter, kde, grid

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