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Statistical inference and how it enables the ideas of surveys and the scientific method to work.Simulating risk models or estimating areas using the Monte Carlo Method.It is a main component of modern cryptographic systems that power the digital age, see pseudorandom number generators.= Randomness: the lack of pattern or predictability in events. save( 'ticker_animation_test.mp4', fps = 20, dpi = 400, bitrate = - 1, FuncAnimation( fig, build_tickers, init_func = init, frames = lineCount,Īnim. # For y-value # go a random direction n = np. # Create list of various colors to cycle through for each line below #cycol = cycle('RGBA') def build_tickers( lineCount = 3, steps = steps): Title = str( lineCount) + ' random chart movements, static range (-5,5)')
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#plt.title('50 random chart movements, static range (-5,5)') ax = plt. animation as animation from itertools import cycle # How many total lines to model (frames in the video) lineCount = 1000 # Length of travel (total steps) steps = 2000 # First set up the figure, the axis, and the plot element we want to animate fig = plt. """ Video animation of stock ticker charts to represent randomness By: David Rose Date : """ import numpy as np import matplotlib.