extent = xlim + ylim
lims = [xlim, ylim]
values = list(range(0, 601))
values[:] = [x / 100 for x in values]
#iterate through a series of values for the power value
for vi, v in enumerate(values):
#change the value of the power we are using. This is why we use a class
calcer.powerLevel = v
#generate the data for the image
plane = jig.generate_image(resolution, lims, calcer.calc_explosion)
#generate the image notice I lock in the colour range
plt.figure(figsize=(1080 / 100, 1920 / 100), dpi=300)
plt.imshow(plane, extent=extent, cmap='hot', vmin=0, vmax=25)
plt.axis('off')
#generate the filename
frameNo = pad_number(vi)
save_name = os.path.join(save_folder, frameNo + '.png')
plt.savefig(save_name, bbox_inches='tight', pad_inches=0, dpi=300)
#plt.imshow(plane, cmap='hot')
#cmap='copper')
plt.close('all')
#plt.show()
#1080p resolution
resolution = (1080, 1920)
#increase to check plotting isnt f*****g up
resolution = tuple([i*2 for i in resolution])
#set the limits in x and y
xlims = [-2.2, 1.2]
ylims = [-1.2, 1.2]
#set up the class so we can tune parameters being used if we so wish
calcer = explosionCalculator()
#generate our image
plane = jig.generate_image(resolution, [xlims, ylims], explosion_function=calcer.calc_explosion, stableZero = True)
#set the limits of the image
extent = xlims + ylims
#generate the image
plt.figure(figsize=(16, 14))
plt.imshow(plane, extent=extent, cmap='hot', interpolation='spline16')
plt.axis('off')
#plt.colorbar()
#plt.savefig('./mandelbrot_hot_noAxis_spline16__res.png', bbox_inches='tight')
plt.imsave('mandelbrot_bone_noAxis_high_res_test.png', plane, cmap='viridis')
#hot is the red colourmap
values[:] = [((2 * math.pi) / 361) * x for x in values]
#values = [math.pi]
order = 25
calcer.powerLevel = 15
calcer.order = order
for vi, v in enumerate(values):
calcer.theta = v
plane = jig.generate_image(resolution,
lims,
calcer.calc_explosion,
stableZero=False)
plt.figure()
plt.imshow(plane, extent=extent, cmap='seismic', vmin=0, vmax=order)
plt.axis('off')
frameNo = pad_number(vi)
save_name = os.path.join(save_folder, frameNo + '.png')
#break
plt.savefig(save_name, bbox_inches='tight', pad_inches=0, dpi=150)
plt.close('all')