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August 31, 2017 18:29
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import math | |
import numpy as np | |
import sys | |
""" | |
Output a 2D gaussian: | |
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""" | |
shades = " ░▒▓█" | |
var1 = float(sys.argv[1]) | |
c12 = float(sys.argv[2]) | |
c21 = float(sys.argv[3]) | |
var2 = float(sys.argv[4]) | |
def shade(v, maxval=0.2): | |
s = shades[min(int(len(shades) * v / maxval), len(shades)-1)] | |
return s + s | |
def gaussian(x, y): | |
bfx = np.array([[x,y]]) | |
bfx_T = np.reshape(bfx, (2,1)) | |
cov = np.array([[var1, c12], [c21, var2]]) | |
return np.linalg.det(2 * 3.1415926 * cov) ** (-.5) * math.exp(-.5 * np.dot(np.dot(bfx, cov), bfx_T)) | |
lines = [] | |
for y in np.arange(-5,5,0.2): | |
vals = [] | |
for x in np.arange(-5,5,0.2): | |
vals.append(gaussian(x, y)) | |
lines.append(vals) | |
maxval = max([max(l) for l in lines]) | |
for line in lines: | |
print("".join([shade(v, maxval) for v in line])) |
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