In this context, the animate function plays a central role, where the input argument is the frame number, startingįrom 0. Milliseconds defines the delay between the frames. The figure on which we draw a predefined number of consecutive frames. We make animations in Matplotlib using the FuncAnimation function from the Animation API. save( ' mandelbrot.gif ',writer = ' imagemagick ') FuncAnimation(fig, animate, frames = 45, interval = 120, blit =True)Īnim. T, interpolation = " bicubic ", cmap = ' magma ')Īnim = animation. # associate colors to the iterations with an iterpolation Threshold = round( 1.15 * *(i + 1)) # calculate the current threshold # iterations for the current threshold for i in range(len(re)): empty((len(re), len(im))) # re-initialize the array-like image axes() # create an axes object def animate(i):Īx. figure(figsize =( 10, 10)) # instantiate a figure to drawĪx = plt. linspace(y_start, y_start + height, height * density_per_unit)įig = plt. linspace(x_start, x_start + width, width * density_per_unit ) Width, height = 3, 3 # for 3 units up and rightĭensity_per_unit = 250 # how many pixles per unit # real and imaginary axis X_start, y_start = - 2, - 1.5 # an interesting region starts here This is easily achieved using the Matplotlib's Animation API, as shown with the following code: We can observe the process of convergence as the number of allowed iterations increases. One particular and interesting area is the 3x3 lattice starting at position -2 and -1.5 for the real and Thus, for all complex numbersĬ in some lattice of the complex plane, we can make a nice animation of the convergence process as a function Is to associate this number to a color relative to the maximum number of loops. We can use the information about the number of iterations before the sequence diverges. If this never happens ( c belongs to the set), we return the maximum Sequence at some iteration exceeds 4, we consider it as diverged ( c does not belong to the set) and return the :param float x: the x component of the initial complex number :param float y: the y component of the initial complex number :param int threshold: the number of iterations to considered it converged """ # initial conditionsĪs we can see, we set the maximum number of iterations encoded in the variable threshold. The sequence diverges if the absolute value of z is greater than 4. In order to belong, the sequence z = z**2 + c must not diverge after ' threshold ' number of steps. """ Calculates whether the number c = x + i*y belongs to the Mandelbrot set. The Python implementation is quite straightforward, as given in the code snippet below: Seem odd and simple, but in fact, it has some mind-blowing properties. Number of iterations the absolute value must not exceed a given limit. Of all complex numbers c, such that the sequence zᵢ₊ᵢ = zᵢ² + c, z₀ = 0 is bounded. Mandelbrot Set is defined over the set of complex numbers. We can infinitely magnify some part of it and the same pattern will repeat over and over again. Koch Snowflake as shown in the image below: It meansĪ given object is similar (completely or to some extent) to some smaller part of itself. In mathematics, this phenomenon is known as self-similarity. We know very well that the left side matches exactly the right side, i.e. We can also compare different parts of the This notion is not only limited to a comparison of two different objects. We say two objects are similar to each other if they share We all have a common sense of the concept of similarity. In the second part, we will analyze one interesting property of the Julia Set. First, we will demonstrate the convergence of the Mandelbrot Set with anĮnticing animation. In this tutorial blog post, we will see how to construct fractals in Python and animate them using the amazing You crank the formulas several times andĪt the end, you get things like this (pointing to a stunning plot) One of the founding fathers of the fractal geometry said in his legendaryĪ surprising aspect is that the rules of this geometry are extremely short. The fractals may seem difficult to understand due to their peculiarity, but that's not the case. Strange geometry exhibits the same or similar patterns irrespectively of the scale. It may sound bizarre but the mathematicalĬoncept of fractals opens the realm towards this intricating infinity. Imagine zooming an image over and over and never go out of finer details. Animate Your Own Fractals in Python with Matplotlib
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