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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)...

This is the real function I am looking to represent in 3D: y = f(x) = x^2 + 1 The complex function would be as follows: w = f(z) = z^2 + 1 Where z = x + iy and w = u + iv. These are four dimentions (x,...

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 have Latitude and Depth, I want to seprate these two arrays in form of numpy array. [['Latitude' 'Depth'] ['28.00303425' '5067.9097'] ['28.00304059' '5068.656'] ... ['28.01996016' '5067.0303'] ['28....

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 was wondering if anyone could shed some light into how I can average this data: I have a .nc file with data (dimensions: 2029,64,32) which relates to time, latitude and longitude. Using these ...

I am attempting to generate a streamplot in Matplotlib using u-component & v-component winds from a gridded analysis, and am unsure how to compile these arrays into the Streamplot function. These ...

I'm plotting two surface plots in python obtained from np.meshgrid, which I want to append to create only one surface plot. For instance: fig = plt.figure(figsize=(8,4)) ax = fig.add_subplot(...

I found this fast script here in Stack Overflow for perform PCA with a given numpy array. I don't know how to plot this in 3D, and also plot in 3D the Cumulative Explained Variances and the Number of ...

I have a 3-dimensional plot and I am able to plot it with the code written below. Considering that my point distribution is represented by a 100x100 matrix, is it possible to plot a confidence ...

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 have a NumPy matrix of the form u(x,y) which represents the velocity of the fluid in the x-direction. For now, let us consider that u, x, and y as follows: nx,ny = 101,101 # no_of_points x = np....

I have a matrix of floats shaped (3000, 9). Across 1 line, there is 1 ''simulation''. Across columns, for a fixed line, there's the contents of the ''simulation''. I want that for each simulation, the ...

x = np.array[[[8, 7, 1, 0, 3], [2, 8, 5, 5, 2], [1, 1, 1, 1, 1]], [[8, 4, 1, 0, 0], [6, 8, 5, 5, 2], [1, 1, 1, 1, 1]], ...

I have 3 data files; wavelength/pixels, counts/pixels, and background/pixels. Each data files multiple order (total number of orders = 35). I have fitted a polynomial to each order and plotted the ...