I have a x,y distribution of points for which I obtain the KDE through scipy.stats.gaussian_kde.
Both kms and mins are a list with float values representing the time needed to cover the amount of kilometres.
The values are distributed between:
mins: [3.48996296296 - 317.678638298]kms: [0.180707205317 - 8086.94362983]
In the result I will get a high and narrow line -- the y values are shown normally, but the x-axis is very narrow and shrunken (the ticks are overlapping). Can somebody point out how the x axis can be more stretched?
Here is my code to generate the plot:
xmin = min(mins)
xmax = max(mins)
ymin = min(kms)
ymax = max(kms)
X, Y = np.mgrid[xmin:xmax:1000j, ymin:ymax:100j]
positions = np.vstack([X.ravel(), Y.ravel()])
values = np.vstack([mins, kms])
kernel = stats.gaussian_kde(values)
Z = np.reshape(kernel(positions).T, X.shape)
fig = plt.figure()
ax = fig.add_subplot(111)
ax.imshow(np.rot90(Z), cmap=plt.cm.gist_earth_r, extent=[xmin, xmax, ymin, ymax])
ax.plot(mins, kms, 'k.', markersize=2)
ax.set_xlim([xmin, 200])
ax.set_ylim([ymin, ymax])
plt.show()
And here is the plot itself:
