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October 1, 2020 11:03
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import numpy as np | |
import matplotlib.pyplot as plt | |
from scipy import ndimage | |
import matplotlib.animation as animation | |
from IPython.display import HTML | |
from mpl_toolkits.axes_grid1 import make_axes_locatable | |
cmaps = ['turbo','viridis', 'plasma', 'inferno', 'magma', 'cividis','Greys', 'Purples', | |
'Blues', 'Greens', 'Oranges', 'Reds','YlOrBr', 'YlOrRd', 'OrRd', 'PuRd', 'RdPu', | |
'BuPu','GnBu', 'PuBu', 'YlGnBu', 'PuBuGn', 'BuGn', 'YlGn','binary', 'gist_yarg', | |
'gist_gray', 'gray', 'bone', 'pink','spring', 'summer', 'autumn', 'winter', 'cool', | |
'Wistia','hot', 'afmhot', 'gist_heat', 'copper', 'PiYG', 'PRGn', 'BrBG', 'PuOr', 'RdGy', 'RdBu', | |
'RdYlBu', 'RdYlGn', 'Spectral', 'coolwarm', 'bwr', 'seismic','twilight', 'twilight_shifted', | |
'hsv','Pastel1','Pastel2', 'Paired', 'Accent','Dark2', 'Set1', 'Set2', 'Set3','tab10', 'tab20', 'tab20b', | |
'tab20c','flag', 'prism', 'ocean', 'gist_earth', 'terrain', 'gist_stern','gnuplot', 'gnuplot2', | |
'CMRmap', 'cubehelix', 'brg','gist_rainbow', 'rainbow', 'jet', 'nipy_spectral', 'gist_ncar'] | |
#make data | |
n = 6 | |
s = 512 | |
im = np.zeros((s, s)) | |
points = (s*np.random.random((2, n**2))).astype(int) | |
im[points[0], points[1]] = 10**5 | |
points = (s*np.random.random((2, n**2))).astype(int) | |
im[points[0], points[1]] = -10**5 | |
im = ndimage.gaussian_filter(im, sigma=s/(5.*n)) | |
#animation | |
fig, ax = plt.subplots(figsize=(8,8)) | |
img = ax.imshow(im,interpolation="None") | |
divider = make_axes_locatable(ax) | |
cax = divider.append_axes("right", size="5%", pad=0.02) | |
plt.colorbar(img, cax=cax) | |
ax.axis("off") | |
def update(i): | |
img.set_cmap(cmaps[i]) | |
ax.set_title(cmaps[i],fontsize=30) | |
return fig, | |
ani = animation.FuncAnimation(fig, update, len(cmaps),interval=250) | |
ani.save('cmapanim.mp4', writer="ffmpeg",dpi=100) | |
HTML(ani.to_html5_video()) | |
#version | |
import scipy | |
print(scipy.__version__) | |
1.5.2 | |
print(np.__version__) | |
1.19.1 | |
import matplotlib | |
print(matplotlib.__version__) | |
3.3.2 | |
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