ourport.blogg.se - Cant get conways game of life working python

CANT GET CONWAYS GAME OF LIFE WORKING PYTHON UPDATE

CANT GET CONWAYS GAME OF LIFE WORKING PYTHON UPDATE

Update the color and transparency of the scatter markers:.Apply Conway’s rules to generate the new state.

Calculate the number of neighbours using convolution - very fast.

apply conways rules based on the current system state:.

Update the board using matplotlibs FuncAnimation tool, by passing an update function.

Plot the board using matplotlibs scatter plot.

Instantiate the board at random using numpy’s random() function and specifying an initial probability of life (1 - all cells alive, 0 - no live cells).

Represent the status “live” or “dead” of each “square” on the board as True and False.

Represent the “board” in our game using a numpy array, which can be constructed using numpy’s meshgrid function.

We can pass the “wrap” option to scipy’s 2D convolution tool to facilitate this. Represented in 3D space this shape would be toroid specifically a torus. A most sophisticated solution is to wrap the universe edges in a circular fashion. When calculating the number of neighbours we have a few options when we reach the edge of the universe, the most simplistic implementation is that the game “universe” has distinct edges.

Any dead cell with exactly three live neighbors becomes a live cell, as if by reproduction.Ī single cell has a total of 8 neighbouring cells i.e.

Any live cell with more than three live neighbors dies, as if by overpopulation.

Any live cell with two or three live neighbors lives on to the next generation.

Any live cell with fewer than two live neighbors dies, as if by underpopulation.From matplotlib.animation import FuncAnimation