Universal Functions (ufunc)

Math operations

op	description	status	note
numpy.add	Adds two arrays elementwise.	Done
numpy.subtract	Subtracts arguments elementwise.	Done
numpy.multiply	Multiplies two arrays elementwise.	Done
numpy.divide	Elementwise true division (i.e.	Done
numpy.logaddexp	Computes log(exp(x1)` `+` `exp(x2)) elementwise.	Done	PR15495
numpy.logaddexp2	Computes log2(exp2(x1)` `+` `exp2(x2)) elementwise.	Done	PR15494
numpy.true_divide	Elementwise true division (i.e.	Done	Need a frontend interface called np.true_divide
numpy.floor_divide	Elementwise floor division (i.e.	Code Review	https://github.com/apache/incubator-mxnet/pull/16124
numpy.negative	Takes numerical negative elementwise.	Code Review	https://github.com/apache/incubator-mxnet/pull/16151
numpy.power	Computes x1` `**` `x2 elementwise.	Done
numpy.remainder	Computes the remainder of Python division elementwise.	Done	PR16080
numpy.mod	Computes the remainder of Python division elementwise.	Done
numpy.fmod	Computes the remainder of C division elementwise.
numpy.absolute	Elementwise absolute value function.	Done	abs
numpy.rint	Rounds each element of an array to the nearest integer.	Done
numpy.sign	Elementwise sign function.	Done
numpy.exp	Elementwise exponential function.	Done
numpy.exp2	Elementwise exponentiation with base 2.	Done	PR15973
numpy.log	Elementwise natural logarithm function.	Done
numpy.log2	Elementwise binary logarithm function.	Done
numpy.log10	Elementwise common logarithm function.	Done
numpy.expm1	Computes exp(x)` `-` `1 elementwise.	Done
numpy.log1p	Computes log(1` `+` `x) elementwise.	Done
numpy.sqrt	Elementwise square root function.	Done
numpy.square	Elementwise square function.	Done
numpy.reciprocal	Computes 1` `/` `x elementwise.	Done

Trigonometric functions

op	description	status	note
numpy.sin	Elementwise sine function.	Done
numpy.cos	Elementwise cosine function.	Done
numpy.tan	Elementwise tangent function.	Done
numpy.arcsin	Elementwise inverse-sine function (a.k.a.	Done
numpy.arccos	Elementwise inverse-cosine function (a.k.a.	Done
numpy.arctan	Elementwise inverse-tangent function (a.k.a.	Done
numpy.arctan2	Elementwise inverse-tangent of the ratio of two arrays.	Done	PR15519
numpy.hypot	Computes the hypoteneous of orthogonal vectors of given length.	Code Review	PR15901
numpy.sinh	Elementwise hyperbolic sine function.	Done
numpy.cosh	Elementwise hyperbolic cosine function.	Done
numpy.tanh	Elementwise hyperbolic tangent function.	Done
numpy.arcsinh	Elementwise inverse of hyperbolic sine function.	Done
numpy.arccosh	Elementwise inverse of hyperbolic cosine function.	Done
numpy.arctanh	Elementwise inverse of hyperbolic tangent function.	Done
numpy.deg2rad	Converts angles from degrees to radians elementwise.	Code Review	https://github.com/apache/incubator-mxnet/pull/16015
numpy.rad2deg	Converts angles from radians to degrees elementwise.	Code Review	https://github.com/apache/incubator-mxnet/pull/16015

Bit-twiddling functions

op	description	status	note
numpy.bitwise_and	Computes the bitwise AND of two arrays elementwise.
numpy.bitwise_or	Computes the bitwise OR of two arrays elementwise.	Code Review	PR15293
numpy.bitwise_xor	Computes the bitwise XOR of two arrays elementwise.	Code Review	PR15312
numpy.invert	Computes the bitwise NOT of an array elementwise.
numpy.left_shift	Shifts the bits of each integer element to the left.
numpy.right_shift	Shifts the bits of each integer element to the right.

Comparison functions

op	description	status	note
numpy.greater	Tests elementwise if x1` `>` `x2.	Done	https://github.com/apache/incubator-mxnet/pull/15940
numpy.greater_equal	Tests elementwise if x1` `>=` `x2.	Done
numpy.less	Tests elementwise if x1` `<` `x2.	Done
numpy.less_equal	Tests elementwise if x1` `<=` `x2.	Done
numpy.not_equal	Tests elementwise if x1` `!=` `x2.	Done
numpy.equal	Tests elementwise if x1` `==` `x2.	Done
numpy.logical_and	Computes the logical AND of two arrays.
numpy.logical_or	Computes the logical OR of two arrays.
numpy.logical_xor	Computes the logical XOR of two arrays.
numpy.logical_not	Computes the logical NOT of an array.	Done
numpy.maximum	Takes the maximum of two arrays elementwise.	Done
numpy.minimum	Takes the minimum of two arrays elementwise.	Done
numpy.fmax	Takes the maximum of two arrays elementwise.
numpy.fmin	Takes the minimum of two arrays elementwise.

Floating functions

op	description	status	note
numpy.isfinite	Tests finiteness elementwise.
numpy.isinf	Tests if each element is the positive or negative infinity.
numpy.isnan	Tests if each element is a NaN.
numpy.signbit	Tests elementwise if the sign bit is set (i.e.
numpy.copysign	Returns the first argument with the sign bit of the second elementwise.	Done
numpy.nextafter	Computes the nearest neighbor float values towards the second argument.
numpy.modf	Extracts the fractional and integral parts of an array elementwise.
numpy.ldexp	Computes x1` `` `2` `*` `x2 elementwise.	Code Review	https://github.com/apache/incubator-mxnet/pull/15845
numpy.frexp	Decomposes each element to mantissa and two’s exponent.
numpy.fmod	Computes the remainder of C division elementwise.
numpy.floor	Rounds each element of an array to its floor integer.	Done
numpy.ceil	Rounds each element of an array to its ceiling integer.	Done
numpy.trunc	Rounds each element of an array towards zero.	Done

ufunc.at

Array Creation Routines

Basic creation routines

op	description	status	note
numpy.empty	Returns an array without initializing the elements.	Done
numpy.empty_like	Returns a new array with same shape and dtype of a given array.
numpy.eye	Returns a 2-D array with ones on the diagonals and zeros elsewhere.	Done
numpy.identity	Returns a 2-D identity array.	Done	PR15698
numpy.ones	Returns a new array of given shape and dtype, filled with ones.	Done
numpy.ones_like	Returns an array of ones with same shape and dtype as a given array.	Done
numpy.zeros	Returns a new array of given shape and dtype, filled with zeros.	Done
numpy.zeros_like	Returns an array of zeros with same shape and dtype as a given array.	Done
numpy.full	Returns a new array of given shape and dtype, filled with a given value.	Done	PR15763
numpy.full_like	Returns a full array with same shape and dtype as a given array.

Creation from other data

op	description	status
numpy.array	Creates an array on the current device.	Done
numpy.asarray	Converts an object to array.
numpy.asanyarray	Converts an object to array.
numpy.ascontiguousarray	Returns a C-contiguous array.
numpy.copy	Creates a copy of a given array on the current device.	Done

Numerical ranges

op	description	status	note
numpy.arange	Returns an array with evenly spaced values within a given interval.	Done
numpy.linspace	Returns an array with evenly-spaced values within a given interval.	Done
numpy.logspace	Returns an array with evenly-spaced values on a log-scale.	Done	PR15825
numpy.meshgrid	Return coordinate matrices from coordinate vectors.	Done
numpy.mgrid	Construct a multi-dimensional “meshgrid”.	Cod Review	https://github.com/apache/incubator-mxnet/pull/16171
numpy.ogrid	Construct a multi-dimensional “meshgrid”.	Code Review	https://github.com/apache/incubator-mxnet/pull/16171

Matrix creation

op	description	status	note
numpy.diag	Returns a diagonal or a diagonal array.
numpy.diagflat	Creates a diagonal array from the flattened input.
numpy.tri	Creates an array with ones at and below the given diagonal.
numpy.tril	Returns a lower triangle of an array.	Done	PR15696
numpy.triu	Returns an upper triangle of an array.

Array Manipulation Routines

Basic operations

op	description	status	note
numpy.copyto	Copies values from one array to another with broadcasting.	Done	only convenient mode

Changing array shape

op	description	status	note
numpy.reshape	Returns an array with new shape and same elements.	Done
numpy.ravel	Returns a flattened array.

Transpose-like operations

op	description	status	note
numpy.moveaxis	Moves axes of an array to new positions.	Done	PR15826
numpy.rollaxis	Moves the specified axis backwards to the given place.
numpy.swapaxes	Swaps the two axes.	Done
numpy.transpose	Permutes the dimensions of an array.	Done

Changing number of dimensions

op	description	status
numpy.atleast_1d	Converts arrays to arrays with dimensions >= 1.
numpy.atleast_2d	Converts arrays to arrays with dimensions >= 2.
numpy.atleast_3d	Converts arrays to arrays with dimensions >= 3.
numpy.broadcast	Object that performs broadcasting.
numpy.broadcast_to	Broadcast an array to a given shape.	Done
numpy.broadcast_arrays	Broadcasts given arrays.	Done
numpy.expand_dims	Expands given arrays.	Done
numpy.squeeze	Removes size-one axes from the shape of an array.	Done

Changing kind of array

op	description	status	note
numpy.asarray	Converts an object to array.
numpy.asanyarray	Converts an object to array.
numpy.asfortranarray	Return an array laid out in Fortran order in memory.
numpy.ascontiguousarray	Returns a C-contiguous array.

Joining arrays

op	description	status	note
numpy.concatenate	Joins arrays along an axis.	Done
numpy.stack	Stacks arrays along a new axis.	Done
numpy.column_stack	Stacks 1-D and 2-D arrays as columns into a 2-D array.
numpy.dstack	Stacks arrays along the third axis.	Done	PR15314
numpy.hstack	Stacks arrays horizontally.		PR15302. Need to port to master branch.
numpy.vstack	Stacks arrays vertically.	Done	https://github.com/apache/incubator-mxnet/pull/15850

Splitting arrays

op	description	status	note
numpy.split	Splits an array into multiple sub arrays along a given axis.	Done
numpy.array_split	Splits an array into multiple sub arrays along a given axis.
numpy.dsplit	Splits an array into multiple sub arrays along the third axis.	Done	PR15371
numpy.hsplit	Splits an array into multiple sub arrays horizontally.	Done	PR15358
numpy.vsplit	Splits an array into multiple sub arrays along the first axis.	Done	PR15346

Tiling arrays

op	description	status	note
numpy.tile	Construct an array by repeating A the number of times given by reps.	Done
numpy.repeat	Repeat arrays along an axis.	Partially done.	Need to support `repeats` as a list of integers.

Adding and removing elements

op	description	status	note
numpy.unique	Find the unique elements of an array.	Code Review	https://github.com/apache/incubator-mxnet/pull/15821

Rearranging elements

op	description	status	note
numpy.flip	Reverse the order of elements in an array along the given axis.	Done	PR15586
numpy.fliplr	Flip array in the left/right direction.
numpy.flipud	Flip array in the up/down direction.
numpy.reshape	Returns an array with new shape and same elements.	Done
numpy.roll	Roll array elements along a given axis.	Done	PR15902
numpy.rot90	Rotate an array by 90 degrees in the plane specified by axes.	Done	PR15987

Binary OperationsElementwise bit operations

op	description	status	note
numpy.bitwise_and	Computes the bitwise AND of two arrays elementwise.
numpy.bitwise_or	Computes the bitwise OR of two arrays elementwise.
numpy.bitwise_xor	Computes the bitwise XOR of two arrays elementwise.
numpy.invert	Computes the bitwise NOT of an array elementwise.
numpy.left_shift	Shifts the bits of each integer element to the left.
numpy.right_shift	Shifts the bits of each integer element to the right.

Bit packing

op	description	status	note
numpy.packbits	Packs the elements of a binary-valued array into bits in a uint8 array.
numpy.unpackbits	Unpacks elements of a uint8 array into a binary-valued output array.

Output formatting

op	description	status	note
numpy.binary_repr	Return the binary representation of the input number as a string.

FFT Functions

Standard FFTs

op	description	status
numpy.fft.fft	Compute the one-dimensional FFT.	WIP
numpy.fft.ifft	Compute the one-dimensional inverse FFT.	WIP
numpy.fft.fft2	Compute the two-dimensional FFT.
numpy.fft.ifft2	Compute the two-dimensional inverse FFT.
numpy.fft.fftn	Compute the N-dimensional FFT.
numpy.fft.ifftn	Compute the N-dimensional inverse FFT.

Real FFTs

op	description	status	note
numpy.fft.rfft	Compute the one-dimensional FFT for real input.
numpy.fft.irfft	Compute the one-dimensional inverse FFT for real input.
numpy.fft.rfft2	Compute the two-dimensional FFT for real input.
numpy.fft.irfft2	Compute the two-dimensional inverse FFT for real input.
numpy.fft.rfftn	Compute the N-dimensional FFT for real input.
numpy.fft.irfftn	Compute the N-dimensional inverse FFT for real input.

Hermitian FFTs

op	description	status	note
numpy.fft.hfft	Compute the FFT of a signal that has Hermitian symmetry.
numpy.fft.ihfft	Compute the FFT of a signal that has Hermitian symmetry.

Helper routines

op	description	status	note
numpy.fft.fftfreq	Return the FFT sample frequencies.
numpy.fft.rfftfreq	Return the FFT sample frequencies for real input.
numpy.fft.fftshift	Shift the zero-frequency component to the center of the spectrum.
numpy.fft.ifftshift	The inverse of [``fftshift()

Indexing Routines

op	description	status
numpy.c_
numpy.r_
numpy.nonzero	Return the indices of the elements that are non-zero.
numpy.where	Return elements, either from x or y, depending on condition.
numpy.indices	Returns an array representing the indices of a grid.
numpy.ix_	i
numpy.unravel_index	Converts array of flat indices into a tuple of coordinate arrays.
numpy.take	Takes elements of an array at specified indices along an axis.	Done
numpy.choose
numpy.diag	Returns a diagonal or a diagonal array.
numpy.diagonal	Returns specified diagonals.
numpy.lib.stride_tricks.as_strided	Create a view into the array with the given shape and strides.
numpy.place	Change elements of an array based on conditional and input values.
numpy.put	Replaces specified elements of an array with given values.
numpy.fill_diagonal	Fills the main diagonal of the given array of any dimensionality.

Input and Output

NumPy binary files (NPY, NPZ)

op	description	status	note
numpy.load	Loads arrays or pickled objects from `.npy`, `.npz` or pickled file.	Done	Known as npx.load
numpy.save	Saves an array to a binary file in `.npy` format.	Done	Known as npx.save
numpy.savez	Saves one or more arrays into a file in uncompressed `.npz` format.
numpy.savez_compressed	Saves one or more arrays into a file in compressed `.npz` format.

String formatting

op	description	status	note
numpy.array_repr	Returns the string representation of an array.		Built-in repr ready.
numpy.array_str	Returns the string representation of the content of an array.		Built-in str ready.

Base-n representations

op	description	status	note
numpy.binary_repr	Return the binary representation of the input number as a string.
numpy.base_repr	Return a string representation of a number in the given base system.

Linear Algebra

Matrix and vector products

op	description	status	note
numpy.dot	Returns a dot product of two arrays.	Done
numpy.vdot	Returns the dot product of two vectors.	Done	https://github.com/apache/incubator-mxnet/pull/15846
numpy.inner	Returns the inner product of two arrays.	Done	https://github.com/apache/incubator-mxnet/pull/15846
numpy.outer	Returns the outer product of two vectors.	Done	https://github.com/apache/incubator-mxnet/pull/15846
numpy.matmul	Returns the matrix product of two arrays and is the implementation of the @ operator introduced in Python 3.5 following PEP465.		dep: einsum
numpy.tensordot	Returns the tensor dot product of two arrays along specified axes.	Done	PR15349
numpy.einsum	Evaluates the Einstein summation convention on the operands.	Done	PR15493. Depends on fixing the legacy bug of using multiple temp spaces on GPUs. See issue 15732.
numpy.linalg.matrix_power	Raise a square matrix to the (integer) power n.		dep: matmul
numpy.kron	Returns the kronecker product of two arrays.	Done	PR15893

Decompositions

op	description	note
numpy.linalg.cholesky	Cholesky decomposition.
numpy.linalg.qr	QR decomposition.
numpy.linalg.svd	Singular Value Decomposition.	wip

Matrix eigenvalues

op	description	status	note
numpy.linalg.eigh	Eigenvalues and eigenvectors of a symmetric matrix.
numpy.linalg.eigvalsh	Calculates eigenvalues of a symmetric matrix.

Norms etc.

op	description	status	note
numpy.linalg.det	Retruns the deteminant of an array.	Done
numpy.linalg.norm	Returns one of matrix norms specified by `ord` parameter.	Done
numpy.linalg.matrix_rank	Return matrix rank of array using SVD method
numpy.linalg.slogdet	Returns sign and logarithm of the determinant of an array.	Done
numpy.trace	Returns the sum along the diagonals of an array.	Done	PR15258

Solving linear equations

op	description	status	note
numpy.linalg.solve	Solves a linear matrix equation.
numpy.linalg.tensorsolve	Solves tensor equations denoted by ax` `=` `b.
numpy.linalg.inv	Computes the inverse of a matrix.
numpy.linalg.pinv	Compute the Moore-Penrose pseudoinverse of a matrix.
numpy.linalg.tensorinv	Computes the inverse of a tensor.

Logic Functions

Truth value testing

op	description	status	note
numpy.all	Tests whether all array elements along a given axis evaluate to True.
numpy.any	Tests whether any array elements along a given axis evaluate to True.

Infinities and NaNs

op	description	status	note
numpy.isfinite	Tests finiteness elementwise.
numpy.isinf	Tests if each element is the positive or negative infinity.
numpy.isnan	Tests if each element is a NaN.

Array type testing

op	description	status	note
numpy.iscomplex	Returns a bool array, where True if input element is complex.
numpy.iscomplexobj	Check for a complex type or an array of complex numbers.
numpy.isfortran	Returns True if the array is Fortran contiguous but not C contiguous.
numpy.isreal	Returns a bool array, where True if input element is real.
numpy.isrealobj	Return True if x is a not complex type or an array of complex numbers.
numpy.isscalar	Returns True if the type of num is a scalar type.

Logic operations

op	description	status
numpy.logical_and	Computes the logical AND of two arrays.
numpy.logical_or	Computes the logical OR of two arrays.
numpy.logical_not	Computes the logical NOT of an array.	Done
numpy.logical_xor	Computes the logical XOR of two arrays.

Comparison

op	description	status	note
numpy.allclose	Returns True if two arrays are element-wise equal within a tolerance.
numpy.isclose	Returns a boolean array where two arrays are equal within a tolerance.
numpy.greater	Tests elementwise if x1` `>` `x2.	Done	Re-implement to return boolean ndarray
numpy.greater_equal	Tests elementwise if x1` `>=` `x2.	Done
numpy.less	Tests elementwise if x1` `<` `x2.	Done
numpy.less_equal	Tests elementwise if x1` `<=` `x2.	Done
numpy.equal	Tests elementwise if x1` `==` `x2.	Done
numpy.not_equal	Tests elementwise if x1` `!=` `x2.	Done

Mathematical Functions

Trigonometric functions

op	description	status	note
numpy.sin	Elementwise sine function.	Done
numpy.cos	Elementwise cosine function.	Done
numpy.tan	Elementwise tangent function.	Done
numpy.arcsin	Elementwise inverse-sine function (a.k.a.	Done
numpy.arccos	Elementwise inverse-cosine function (a.k.a.	Done
numpy.arctan	Elementwise inverse-tangent function (a.k.a.	Done
numpy.hypot	Computes the hypoteneous of orthogonal vectors of given length.		PR15901
numpy.arctan2	Elementwise inverse-tangent of the ratio of two arrays.	Done	PR15890
numpy.degrees	Converts angles from radians to degrees elementwise.	Done
numpy.radians	Converts angles from degrees to radians elementwise.	Done
numpy.unwrap	Unwrap by changing deltas between values to 2*pi complement.
numpy.deg2rad	Converts angles from degrees to radians elementwise.	Done	PR16015
numpy.rad2deg	Converts angles from radians to degrees elementwise.	Done

Hyperbolic functions

op	description	status
numpy.sinh	Elementwise hyperbolic sine function.	Done
numpy.cosh	Elementwise hyperbolic cosine function.	Done
numpy.tanh	Elementwise hyperbolic tangent function.	Done
numpy.arcsinh	Elementwise inverse of hyperbolic sine function.	Done
numpy.arccosh	Elementwise inverse of hyperbolic cosine function.	Done
numpy.arctanh	Elementwise inverse of hyperbolic tangent function.	Done

Rounding

op	description	status
numpy.around	Rounds to the given number of decimals.
numpy.round_
numpy.rint	Rounds each element of an array to the nearest integer.	Done
numpy.fix	If given value x is positive, it return floor(x).	Done
numpy.floor	Rounds each element of an array to its floor integer.	Done
numpy.ceil	Rounds each element of an array to its ceiling integer.	Done
numpy.trunc	Rounds each element of an array towards zero.	Done

Sums, products, differences

op	description	status	note
numpy.prod	Returns the product of an array along given axes.	Done
numpy.sum	Returns the sum of an array along given axes.	Done
numpy.cumprod	Returns the cumulative product of an array along a given axis.	Done	PR15855
numpy.cumsum	Returns the cumulative sum of an array along a given axis.	Done	PR15309
numpy.diff	Calculate the n-th discrete difference along the given axis.	Done	PR15906

Exponents and logarithms

op	description	status	note
`numpy.exp`	Elementwise exponential function.	Done
`numpy.expm1`	Computes exp(x)` `-` `1 elementwise.	Done
numpy.exp2	Elementwise exponentiation with base 2.		WIP sguangyo@
numpy.log	Elementwise natural logarithm function.	Done
numpy.log10	Elementwise common logarithm function.	Done
numpy.log2	Elementwise binary logarithm function.	Done
numpy.log1p	Computes log(1` `+` `x) elementwise.	Done
numpy.logaddexp	Computes log(exp(x1)` `+` `exp(x2)) elementwise.	Done
numpy.logaddexp2	Computes log2(exp2(x1)` `+` `exp2(x2)) elementwise.	Done

Other special functions

op	description	status	note
numpy.i0	Modified Bessel function of the first kind, order 0.
numpy.sinc	Elementwise sinc function.

Floating point routines

op	description	status	note
numpy.signbit	Tests elementwise if the sign bit is set (i.e.
numpy.copysign	Returns the first argument with the sign bit of the second elementwise.
numpy.frexp	Decomposes each element to mantissa and two’s exponent.
numpy.ldexp	Computes x1` `` `2` `*` `x2 elementwise.
numpy.nextafter	Computes the nearest neighbor float values towards the second argument.

Arithmetic operations

op	description	status	note
numpy.add	Adds two arrays elementwise.	Done
numpy.reciprocal	Computes 1` `/` `x elementwise.	Done
numpy.negative	Takes numerical negative elementwise.	Done
numpy.multiply	Multiplies two arrays elementwise.	Done
numpy.divide	Elementwise true division (i.e.	Done
numpy.power	Computes x1` `**` `x2 elementwise.	Done	@wangleyu
numpy.subtract	Subtracts arguments elementwise.	Done
numpy.true_divide	Elementwise true division (i.e.	Done
numpy.floor_divide	Elementwise floor division (i.e.	Done
numpy.fmod	Computes the remainder of C division elementwise.
numpy.mod	Computes the remainder of Python division elementwise.	Done
numpy.modf	Extracts the fractional and integral parts of an array elementwise.
numpy.remainder	Computes the remainder of Python division elementwise.	Done
numpy.divmod

Handling complex numbers

op	description	status	note
numpy.angle	Returns the angle of the complex argument.
numpy.real	Returns the real part of the elements of the array.
numpy.imag	Returns the imaginary part of the elements of the array.
numpy.conj	Returns the complex conjugate, element-wise.

Miscellaneous

op	description	finish	note
numpy.clip	Clips the values of an array to a given interval.	Partially done	Does not support a_min and a_max as arrays.
numpy.sqrt	Elementwise square root function.	Done
numpy.cbrt	Elementwise cube root function.	Done
numpy.square	Elementwise square function.	Done
numpy.absolute	Elementwise absolute value function.	Done
numpy.sign	Elementwise sign function.	Done
numpy.maximum	Takes the maximum of two arrays elementwise.	Done
numpy.minimum	Takes the minimum of two arrays elementwise.	Done
numpy.fmax	Takes the maximum of two arrays elementwise.		WIP(tvm) guangtai@ #15800
numpy.fmin	Takes the minimum of two arrays elementwise.
numpy.nan_to_num	Elementwise nan_to_num function.
numpy.blackman	Returns the Blackman window.	Done	PR15815
numpy.hamming	Returns the Hamming window.	Done
numpy.hanning	Returns the Hanning window.	Done

Padding

op	description	status	note
numpy.pad	Returns padded array.

Random Sampling (``numpy.random``)

Sample random data

op	description	status
numpy.random.rand	Returns an array of uniform random values over the interval [0,` `1).
numpy.random.randn	Returns an array of standard normal random values.
numpy.random.randint	Returns a scalar or an array of integer values over [low,` `high).	Done
numpy.random.random_integers	Return a scalar or an array of integer values over [low,` `high]
numpy.random.random_sample	Returns an array of random values over the interval [0,` `1).
numpy.random.random	Returns an array of random values over the interval [0,` `1).
numpy.random.ranf	Returns an array of random values over the interval [0,` `1).
numpy.random.sample	Returns an array of random values over the interval [0,` `1).
numpy.random.choice	Returns an array of random values from a given 1-D array.	Done
numpy.random.bytes	Returns random bytes.

Distributions

op	description	status
numpy.random.beta	Beta distribution.
numpy.random.binomial	Binomial distribution.
numpy.random.chisquare	Chi-square distribution.
numpy.random.dirichlet	Dirichlet distribution.
numpy.random.exponential	Exponential distribution.
numpy.random.f	F distribution.
numpy.random.gamma	Gamma distribution.	WIP
numpy.random.geometric	Geometric distribution.
numpy.random.gumbel	Returns an array of samples drawn from a Gumbel distribution.
numpy.random.hypergeometric	hypergeometric distribution.
numpy.random.laplace	Laplace distribution.
numpy.random.logistic	Logistic distribution.
numpy.random.lognormal	Returns an array of samples drawn from a log normal distribution.
numpy.random.logseries	Log series distribution.
numpy.random.multinomial	Returns an array from multinomial distribution.	Done
numpy.random.multivariate_normal	(experimental) Multivariate normal distribution.
numpy.random.negative_binomial	Negative binomial distribution.
numpy.random.noncentral_chisquare	Noncentral chisquare distribution.
numpy.random.noncentral_f	Noncentral F distribution.
numpy.random.normal	Returns an array of normally distributed samples.	Done
numpy.random.pareto	Pareto II or Lomax distribution.
numpy.random.poisson	Poisson distribution.
numpy.random.power	Power distribution.
numpy.random.rayleigh	Rayleigh distribution.
numpy.random.standard_cauchy	Standard cauchy distribution.
numpy.random.standard_exponential	Standard exponential distribution.
numpy.random.standard_gamma	Standard gamma distribution.
numpy.random.standard_normal	Returns an array of samples drawn from the standard normal distribution.
numpy.random.standard_t	Standard Student’s t distribution.
numpy.random.triangular	Triangular distribution.
numpy.random.uniform	Returns an array of uniformly-distributed samples over an interval.	Done
numpy.random.vonmises	von Mises distribution.
numpy.random.wald	Wald distribution.
numpy.random.weibull	weibull distribution.
numpy.random.zipf	Zipf distribution.

Random generator

op	description	note
numpy.random.RandomState	Portable container of a pseudo-random number generator.
numpy.random.seed	Resets the state of the random number generator with a seed.	Known as npx.seed
numpy.random.get_random_state	Gets the state of the random number generator for the current device.
numpy.random.set_random_state	Sets the state of the random number generator for the current device.

Permutations

op	description	status	note
numpy.random.shuffle	Shuffles an array.	Done
numpy.random.permutation	Returns a permuted range or a permutation of an array.

Sorting, Searching, and Counting

Sorting

op	description	status
numpy.sort	Returns a sorted copy of an array with a stable sorting algorithm.
numpy.lexsort	Perform an indirect sort using an array of keys.
numpy.argsort	Returns the indices that would sort an array with a stable sorting.	Done
numpy.msort	Returns a copy of an array sorted along the first axis.
numpy.partition	Returns a partitioned copy of an array.
numpy.argpartition	Returns the indices that would partially sort an array.

Searching

op	description	status	note
numpy.argmax	Returns the indices of the maximum along an axis.	Done
numpy.argmin	Returns the indices of the minimum along an axis.
numpy.nonzero	Return the indices of the elements that are non-zero.	Code Review	https://github.com/apache/incubator-mxnet/pull/15838
numpy.flatnonzero	Return indices that are non-zero in the flattened version of a.
numpy.where	Return elements, either from x or y, depending on condition.

Counting

op	description	status	note
numpy.count_nonzero	Counts the number of non-zero values in the array.

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