Mandelbrot set: Difference between revisions

Content added Content deleted
(→‎{{header|TeX}}: Separated solutions by language and minimalised.)
(→‎Python with and without NumPy (no optimizations): Heading changed: Escape time and normalized iteration count (Basic))
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plt.show()</lang>
 
===Basic: Escape time and normalized iteration count===
===Python with and without NumPy (no optimizations)===
Actually the same, but without optimizations and therefore better suited for teaching. At first without NumPy, but already with complex numbers.
<lang python>import mathmatplotlib.pyplot as mtplt
import matplotlib.pyplot as plt
 
 
Line 7,183 ⟶ 7,182:
z = z ** 2 + c
T[i][j] = k + 1
if abs(z) >= r: # normalized iteration count (smooth coloring)
T[i][j] = T[i][j] - mt.log2(mt.log(abs(z)) / mt.log(r))
 
plt.imshow(T, cmap=plt.cm.twilight_shifted)
plt.savefig("Mandelbrot.png", dpi=250)</lang>
At second with NumPy and complex matrices. The ''normalized iteration count'' algorithm is used, which provides a smooth transition of colors between iterations (cf. Wikipedia: [https://en.wikipedia.org/wiki/Plotting_algorithms_for_the_Mandelbrot_set#Continuous_(smooth)_coloring ''Plotting algorithms for the Mandelbrot set: Continuous (smooth) coloring'']).
At second with NumPy and complex matrices.
<lang python>import numpy as np
import matplotlib.pyplot as plt