Closed 12 days ago.

I tried to follow this example of scipy in peak analysis but when I imported the electrocardiogram dataset by from scipy.datasets import electrocardiogram , I got mentioned error.

I am looking for numerically stable implementations of the functions below. Since my application concerns the t distribution, I am using the t distribution here as an example.

I’m attempting to use python to solve the following analytical solution (eq. 4 from here) for a heat transport problem to verify the results calculated by a numerical model:

I try to shift Mnist image by one pixel in each direction(up, down, left, right) and add these shifted image into the training set. But the result always shows the same error. The following is the code

In SciPy, there are numerous interpolation function that return a function, e.g., Akima1DInterpolator. I’d like to have the same for a simple linear interpolator. interp1d does the trick, but is deprecated. What can I replace it with?

In SciPy, there are numerous interpolation function that return a function, e.g., Akima1DInterpolator. I’d like to have the same for a simple linear interpolator. interp1d does the trick, but is deprecated. What can I replace it with?

I have three points in 3D and I’d like to a find a smooth curve (e.g., a spline) that goes through all points. With 4 points or more, I can use SciPy’s B-splines:

I’m catching the following:

I am new in Python and at the beginning of my code is
from scipy import interpolate
But the error shows:
ModuleNotFoundError: No module named ‘scipy’
But actually I have already installed scipy:
enter image description here
I don’t know how to solve the problem.