#! /usr/bin/env python3 # def grid_fill_contour ( ): #*****************************************************************************80 # ## grid_fill_contour draws a filled color contour plot from a table Z(X,Y). # # Discussion: # # Here, the grid is a 41x41 array of equally spaced points in [-2,2]x[-2,2]. # # x = linspace ( -2.0, +2.0, 41 ); # y = linspace ( -2.0, +2.0, 41 ); # [ X, Y ] = meshgrid ( x, y ); # # and Z(X,Y) is a function which could be evaluated by: # # Z = exp ( - ( X^2 + Y^2 ) ) ... # * cos ( 0.25 * X ) ... # * sin ( Y ) ... # * cos ( 2 * (X^2 + Y^2 ) ); # # Licensing: # # This code is distributed under the GNU LGPL license. # # Modified: # # 03 May 2019 # # Author: # # John Burkardt # import matplotlib.pyplot as plt import numpy as np import platform from matplotlib import cm print ( '' ) print ( 'grid_fill_contour:' ) print ( ' Python version: %s' % ( platform.python_version ( ) ) ) print ( ' Make a contour plot Z(X,Y) for a 41x41 table.' ) # # Read the data from the file. # x = [] y = [] z = [] file = open ( 'grid_data.txt', 'r' ) for line in file: line = line.strip ( ) columns = line.split ( ) x.append ( float ( columns[0] ) ) y.append ( float ( columns[1] ) ) z.append ( float ( columns[2] ) ) file.close ( ) # # The data was stored as a vector. # Reshape it to 41x41 arrays. # x = np.reshape ( x, ( 41, 41 ) ) y = np.reshape ( y, ( 41, 41 ) ) z = np.reshape ( z, ( 41, 41 ) ) # # Form the figure. # levels = 15 ax = plt.figure ( ) plt.contourf ( x, y, z, levels, cmap = cm.coolwarm ) plt.title ( 'Filled contour plot of 41x41 table Z(X,Y)', fontsize = 16 ) plt.xlabel ( '<--- X --->', fontsize = 16 ) plt.ylabel ( '<--- Y --->', fontsize = 16 ) filename = 'grid_fill_contour.png' plt.savefig ( filename ) print ( '' ) print ( ' Graphics saved as "%s"' % ( filename ) ) plt.show ( ) # # Terminate. # print ( '' ) print ( 'grid_fill_contour:' ) print ( ' Normal end of execution.' ) return if ( __name__ == '__main__' ): from timestamp import timestamp timestamp ( ) grid_fill_contour ( ) timestamp ( )