We used the contourf() function of matplotlib to plot the figures. Next, we created the axes objected using the axes() function and specified the projection of the plot to “polar”. We specified the plot’s size using the function’s figsize attribute. Under the function, we first created the figure object using the plt.figure() function. The function is again a void function, and it takes 6 parameters, called theta1, r1, theta2, r2, values1, and values2. Next we created the contour_plot() function.First, we imported the numpy library and the matplotlib.pyplot module in our code using the import statement of python.We can use all the other attributes associated with the function.ĭef contour_polar(theta1, r1, theta2, r2, values1, values2): As we have seen for other plots, we need to call the contour() function multiple times to plot multiple plots in the figure. Plotting multiple contour plots in the exact figure is quite an easy task. Finally, we called the main() function with the help of the following lines of codes: if _name_ = “ main“: main()Ĭheck This: I have wrote a full guide on Matplotlib Contour Plot if you want to know more about contour plot in python matplotlib library (What it is and how to plot a contour plot using different functions and techniques). ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |