Heatmap attacks

Code

from datavolley import read_dv
import datavolley.pycourt as pycourt
import datavolley.pycourt as half_pycourt 
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import seaborn as sns
import warnings
warnings.filterwarnings("ignore", "is_categorical_dtype")
warnings.filterwarnings("ignore", "use_inf_as_na")

Data reading

In this case, we will use the sample data that PyDataVolley is built upon and extract the actions using the get_plays() method.

Code

dvf = read_dv.DataVolley()
plays = dvf.get_plays()

Visualize the arrival of attacks

From the game actions we extract the information the x and y coordinates of the point of arrival of the attack. Our goal is to visualize the points where the ball arrives: where most of the play therefore takes place.

Code

attacks_data= plays[(plays['skill'] == 'Attack') & (plays.home_team==dvf.home_team)] 
coordinate_df = attacks_data[['end_coordinate_x','end_coordinate_y']]

def plot_coordinates(coordinates):
    pycourt.pycourt()
    # Plot the coordinates
    plt.scatter(coordinates['end_coordinate_x'], coordinates['end_coordinate_y'], color='red')
    plt.show(block=True)

plot_coordinates(coordinate_df)

Visualize the heatmap of attacks

Using the same data we create the kernel density with seaborn and draw it on the field

Code

# heatmap of the end direction of attacks
fig, ax = plt.subplots()
pycourt.pycourt(ax)
sns.kdeplot(x=coordinate_df['end_coordinate_x'], y=coordinate_df['end_coordinate_y'], ax=ax, cmap="YlOrRd", fill=True, alpha=0.5)
plt.show()

Half a field

Among the functions available in pydatavolley is the ability to display half a court. Here we show how to use it

Code

# Creating the volleyball court
fig, ax = plt.subplots()
pycourt.half_pycourt(ax)
# Creating the heatmap
sns.kdeplot(x=coordinate_df['end_coordinate_x'], y=coordinate_df['end_coordinate_y'], ax=ax, cmap="YlOrRd", fill=True, alpha=0.5)
plt.show()

Code

df = plays[(plays['skill'] == 'Attack')]
total_attacks = df.groupby(['player_name', 'team']).size().reset_index(name='total')
print(total_attacks)

           player_name                      team  total
0           Aiko Jones  University of Louisville      9
1      Alexa Hendricks  University of Louisville      8
2          Alli Papesh      University of Dayton     15
3        Amaya Tillman  University of Louisville      8
4         Amelia Moore      University of Dayton      9
5       Anna Stevenson  University of Louisville     11
6      Bridget Doherty      University of Dayton      3
7      Brooke Westbeld      University of Dayton      6
8      Claire Chaussee  University of Louisville     12
9          Emily Scott  University of Louisville     10
10      Jamie Peterson      University of Dayton     31
11     Jordan Albarran      University of Dayton      1
12         Mel McHenry  University of Louisville     23
13  Mikaylah Van Lanen      University of Dayton      2
14         Molly Asmus      University of Dayton      2
15        Olivia Dubay      University of Dayton     13
16     Player2 player2  University of Louisville     10
17        Rachael Fara      University of Dayton     10
18     Shannon Shields  University of Louisville      2
19          Sierra Pla      University of Dayton      5