I have x and y coordinates in a df from LoL matches and i want to create a contour plot or heat map to show where the player normally moves in a match.
Does any one know how can I do it?
2 Answers
A contour plot or heat map needs 3 values. You have to provide x, y and z values in order to plot a contour since x and y give the position and z gives the value of the variable you want to show the contour of as a variable of x and y.
If you want to show the movement of the players as a function of time you should look at matplotlib's animations. Or if you want to show the "players density field" you have to calculate it.
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import numpy as np
import scipy
from scipy.stats.kde import gaussian_kde
from scipy import ndimage
from matplotlib import cm
#select the x and y coordinates
x = df['x']
y = df['y']
nbins= 512
k = gaussian_kde(np.vstack([x,y]))
xi, yi = np.mgrid[0:512, 0:512] #size of the image/map in px
zi = k(np.vstack([xi.flatten(), yi.flatten()]))
im = mpimg.imread("map.png")#Put he background image
fig = plt.figure(figsize=(9,9))
ax2 = fig.add_subplot()
ax2.contourf(xi, yi, zi.reshape(xi.shape), alpha=0.5, cmap=cm.jet, extent=[1, -1, 1, -1])
ax2.set_xlim(0, 512)
ax2.set_ylim(0, 512)
ax2.axis('off')
plt.imshow(im, extent=[0, 512, 0, 512])
plt.savefig(f'Enemies/Clausura/{team}/{team} Stats/{summoner[1]} Early.png', dpi=None, bbox_inches='tight', pad_inches=0)
