numpy.core.defchararray.islower(a)
MaskedArray.data Return the current data, as a view of the original underlying data.
broadcast.reset() Reset the broadcasted result?s iterator(s).
numpy.linalg.matrix_power(M, n)
numpy.core.defchararray.ljust(a, width, fillchar=' ')
numpy.ma.allequal(a, b, fill_value=True)
numpy.random.chisquare(df, size=None) Draw samples from a chi-square distribution. When df independent
numpy.ma.hsplit(ary, indices_or_sections) = Split an array into multiple sub-arrays horizontally (column-wise). Please
numpy.linalg.cholesky(a)
RandomState.uniform(low=0.0, high=1.0, size=None) Draw samples from a uniform distribution. Samples are
Page 82 of 100