Possible Numpy Function Feature Liste

[ebertmi]

Meta issue - the following list contains possible functions that may be implemented in the near future.

Array Functions

• [x] numpy.transpose(axes) [use existing numpy.ndarray.tranpose()]
• [ ] numpy.add Docs (same as the one on ndarray)
• [x] numpy.dot Docs
• [x] numpy.vdot
• [ ] numpy.hstack Docs
• [ ] numpy.vstack Docs
• [ ] numpy.concatenate Docs
• [ ] numpy.split Docs
• [x] ndarray.dot
• [x] numpy.abs
• [x] numpy.mean

Array Creation Functions

• [x] numpy.array
• [x] numpy.empty
• [x] numpy.ones
• [x] numpy.zeros
• [x] numpy.identity Docs
• [ ] numpy.eye Docs

Logical Functions

• [ ] numpy.allclose Docs
• [x] numpy.all Docs
• [x] numpy.any Docs (also numpy.ndarray.any)

Notice: We currently only support basic shape broadcasting!

• [x] numpy.less
• [x] numpy.greater
• [x] numpy.less_equal
• [x] numpy.greater_equal
• [x] numpy.equal
• [x] numpy.not_equal

Input/Output

• [ ] numpy.set_printoptions Docs
• [ ] numpy.array_str Docs

Statistic Functions

• [x] numpy.meanDocs
• [ ] numpy.cov Docs
• [ ] numpy.stdDocs
• [ ] numpy.varDocs

Random Functions

• [ ] numpy.random.choiceDocs
• [ ] numpy.random.shuffleDocs
• [ ] numpy.random.permutation Docs
• [x] random.randint
• [x] random.random_integers
• [x] random.rand
• [x] random.seed
• [x] random.sample
• [x] random.binomial (needs refactoring, may return wrong results)
• [x] random.random_sample
• [x] random.random