Top "Scipy" questions

How to make scipy.interpolate give an extrapolated result beyond the input range?

I'm trying to port a program which uses a hand-rolled interpolator (developed by a mathematician colleage) over to use the …

python math numpy scipy

How to solve a pair of nonlinear equations using Python?

What's the (best) way to solve a pair of non linear equations using Python. (Numpy, Scipy or Sympy) eg: x+…

python numpy scipy sympy

Computing cross-correlation function?

In R, I am using ccf or acf to compute the pair-wise cross-correlation function so that I can find out …

python r statistics numpy scipy

How do I plot list of tuples in Python?

I have the following data set. I would like to use Python or Gnuplot to plot the data. The tuples …

python numpy matplotlib scipy gnuplot

T-test in Pandas

If I want to calculate the mean of two categories in Pandas, I can do it like this: data = {'Category': […

python pandas scipy statistics hypothesis-test

Principal component analysis in Python

I'd like to use principal component analysis (PCA) for dimensionality reduction. Does numpy or scipy already have it, or do …

python numpy scipy pca

Numpy: Divide each row by a vector element

Suppose I have a numpy array: data = np.array([[1,1,1],[2,2,2],[3,3,3]]) and I have a corresponding "vector:" vector = np.array([1,2,3]) How do …

python arrays numpy scipy

Resampling a numpy array representing an image

I am looking for how to resample a numpy array representing image data at a new size, preferably having a …

python image-processing numpy scipy python-imaging-library

Generating a dense matrix from a sparse matrix in numpy python

I have a Sqlite database that contains following type of schema: termcount(doc_num, term , count) This table contains terms …

python arrays numpy scipy sparse-matrix

How to access sparse matrix elements?

type(A) <class 'scipy.sparse.csc.csc_matrix'> A.shape (8529, 60877) print A[0,:] (0, 25) 1.0 (0, 7422) 1.0 (0, 26062) 1.0 (0, 31804) 1.0 (0, 41602) 1.0 (0, 43791) 1.0 print A[1,:] (0, 7044) 1.0 (0, 31418) 1.0 (0, 42341) 1.0 (0, 47125) 1.0 (0, 54376) 1.0 print A[:,0] #nothing returned …

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