All Questions

I have a multi-dimension array generated using NumPy. array = np.random.rand(63, 4, 4) Now I want to generate images using the imshow() function from matplotlib, using a rolling/moving window manner ...

I will be glad if someone can help me. I have 3 x 3 x 3 = 27 data points. I could make into 3 x 3 x 3 numpy array in python by using In>>a = np.array([1,2,3,-4,5,6,-2,5,7,-5,0,9,2,-3,4,5,-1,1,2,...

I'm completely new to Numpy, and I have not used Python in almost 8 years [so it's best to assume I'm completely new to Python, too]. I am trying to display a 2-dimensional array as a colorful image....

I have a 2d numpy array that consists of blocks of contiguous values. Here's an example. I would like to plot lines around the values. Is there a simple way to do this?

I got a xml file with this data structure: <TurnOnLoss> <ComputationMethod>Table and formula</ComputationMethod> <Formula>E/(5.3e-5*6.8+1.167e-3)...

I would like to represent a set of 3D points as a surface. The points are in an array format for x, y, z. I managed to plot the points in 3D in a sub-optimal solution by adding an array c which just ...

I am trying to develop a random tetrahedron generator that can take a list of four coordinates and produce a tetrahedron. Currently, I am only able to plot a tetrahedron using four pre-determined ...

I'm trying to create a vector field using numpy and quiver. Unfortunately, the functions I use for the components of each vector require dividing by the values in the mesh field, so quiver won't show ...

I have set of data (values from 0 to 1) with corresponding coordinates, and I want to plot those data on map with matplotlib's contourf. The problem is that I have 30-40 data points and a coordinate ...

I have the following code where A is a 2D array that represents a plane grid in space. The values it contains are the values of a field that change with time. I want to show this variation in time as ...

I am trying to solve the wave equation using the central finite difference method. I started with a basic 2 dimensional Gaussian function as my initial condition u[x,y,t] = u[:,:,0] = init_fn(x,y) ...