This code creates an oblique cone by adding an x-component to the z-coordinate calculation. 3D Double Cone You can create a double cone by extending the z-axis in both positive and negative directions: import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes...
We use linspace to create 50 intervals between -5 and 5 forxandy. We need to create a grid instead of having just x and y values. We can create it using themeshgrid()function. We need to pass itxandyvalues so that it will repeat them. ...
h=2# Height # Create the mesh grid for the frustum theta=np.linspace(0,2*np.pi,30)z=np.linspace(0,h,30)theta,z=np.meshgrid(theta,z)x=(r2+(r1-r2)*(h-z)/h)*np.cos(theta)y=(r2+(r1-r2)*(h-z)/h)*np.sin(theta)# Plotting the frustum fig=plt.figure()ax=...
The solution to the problem of create the figure is in givingmeshgridthe correct vectors. One vector is continuous from-2to+2, the other goes from-2to+2, with a ‘gap’ value at the position in the vector where you want the discontinuity in the surface. ...
For example, let’s convert the polar coordinates of a polar plot to Cartesian and create a 3D plot using thesurf()function. See the code below. clc clear My_theta=0:0.1:2*pi;My_rho=sin(My_theta);t=meshgrid(linspace(0,2*pi,63));[x,y,z]=pol2cart(My_theta,My_rho,t);surf(x...
Let’s create a visualization of a simple 3D function – parabola. First, we calculate function values on a grid (x,y) withnumpy.meshgrid. Then we useplotlyto plot the surface and save it as HTML file. Below is a code for that (based ondocumentation). ...
But, I want to compare the soft cosines for all documents against each other. So, create the soft cosine similarity matrix. import numpy as np import pandas as pd def create_soft_cossim_matrix(sentences): len_array = np.arange(len(sentences)) xx, yy = np.meshgrid(len_array, len_array...
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importnumpyasnpimportmatplotlib.pyplotaspltfrommpl_toolkits.mplotdimportAxes3D x = np.linspace(-,3,100) y = np.linspace(-,3,100) x, y = np.meshgrid(x, y) w =1gaussian = np.exp(-((pow(x,) +pow(y,2)) /pow(w0,2)))
from mpl_toolkits.mplot3d import Axes3D # Parameters for the frustum r1=1# Radius at the bottom r2=0.5# Radius at the top h=2# Height # Create the mesh grid for the frustum theta=np.linspace(0,2*np.pi,30)z=np.linspace(0,h,30)theta,z=np.meshgrid(theta,z)x=(r2+(r1-r2...