Use python to draw a heart. Use python to draw a heart.

Use python to draw a heart. Use python to draw a heart.

Preface

Python generally uses Matplotlib to create statistical graphs. In its own statement, 'Make simple things simple and make complex thes '. You can use it to create line charts, histograms, bar charts, scatter plots, pie charts, and spectral charts, these images can be exported to multiple formats with publishing quality. In addition, it can be used in combination with ipython, which is really convenient. Who knows it! This article describes how to use matplotlib in python to draw a heart. If you are interested, let's take a look.

Install matplotlib

First install matplotlib

pip install matplotlib

Windows users can download and install the SDK on the official website. John Hunter (1968-2012), creator of matpltlib, just died on the official website. Thank you for creating such a powerful drawing tool.

Code on

#!/usr/bin/env python3from mpl_toolkits.mplot3d import Axes3Dfrom matplotlib import cmfrom matplotlib.ticker import LinearLocator, FormatStrFormatterimport matplotlib.pyplot as pltimport numpy as npdef heart_3d(x,y,z): return (x**2+(9/4)*y**2+z**2-1)**3-x**2*z**3-(9/80)*y**2*z**3def plot_implicit(fn, bbox=(-1.5, 1.5)): ''' create a plot of an implicit function fn ...implicit function (plot where fn==0) bbox ..the x,y,and z limits of plotted interval''' xmin, xmax, ymin, ymax, zmin, zmax = bbox*3 fig = plt.figure() ax = fig.add_subplot(111, projection='3d') A = np.linspace(xmin, xmax, 100) # resolution of the contour B = np.linspace(xmin, xmax, 40) # number of slices A1, A2 = np.meshgrid(A, A) # grid on which the contour is plotted for z in B: # plot contours in the XY plane  X, Y = A1, A2  Z = fn(X, Y, z)  cset = ax.contour(X, Y, Z+z, [z], zdir='z', colors=('r',))  # [z] defines the only level to plot  # for this contour for this value of z for y in B: # plot contours in the XZ plane  X, Z = A1, A2  Y = fn(X, y, Z)  cset = ax.contour(X, Y+y, Z, [y], zdir='y', colors=('red',)) for x in B: # plot contours in the YZ plane  Y, Z = A1, A2  X = fn(x, Y, Z)  cset = ax.contour(X+x, Y, Z, [x], zdir='x',colors=('red',)) # must set plot limits because the contour will likely extend # way beyond the displayed level. Otherwise matplotlib extends the plot limits # to encompass all values in the contour. ax.set_zlim3d(zmin, zmax) ax.set_xlim3d(xmin, xmax) ax.set_ylim3d(ymin, ymax) plt.show()if __name__ == '__main__': plot_implicit(heart_3d) 

The effect is like this, which is interesting:

Summary

The above is all about this article. I hope this article will help you learn or use python. If you have any questions, please leave a message.