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# scipy.maxentropy.columnvariances

`scipy.maxentropy.``columnvariances`(A)

  This is a wrapper for general dense or sparse dot products. It is not necessary except as a common interface for supporting ndarray, scipy spmatrix, and PySparse arrays.

  Returns a dense (1 x n) vector with unbiased estimators for the column variances for each column of the (m x n) sparse or dense matrix A. (The normalization is by (m - 1).)

      >>> a = numpy.array([[1,2], [3,4]], 'd')
      >>> columnvariances(a)
      array([ 2.,  2.])

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