empty(shape, dtype=float, order='C', *, like=None)
empty
, unlike zeros
, does not set the array values to zero, and may therefore be marginally faster. On the other hand, it requires the user to manually set all the values in the array, and should be used with caution.
Shape of the empty array, e.g., (2, 3)
or 2
.
Desired output data-type for the array, e.g, numpy.int8
. Default is numpy.float64
.
Whether to store multi-dimensional data in row-major (C-style) or column-major (Fortran-style) order in memory.
Reference object to allow the creation of arrays which are not NumPy arrays. If an array-like passed in as like
supports the __array_function__
protocol, the result will be defined by it. In this case, it ensures the creation of an array object compatible with that passed in via this argument.
Array of uninitialized (arbitrary) data of the given shape, dtype, and order. Object arrays will be initialized to None.
Return a new array of given shape and type, without initializing entries.
empty_like
Return an empty array with shape and type of input.
full
Return a new array of given shape filled with value.
ones
Return a new array setting values to one.
zeros
Return a new array setting values to zero.
>>> np.empty([2, 2]) array([[ -9.74499359e+001, 6.69583040e-309], [ 2.13182611e-314, 3.06959433e-309]]) #uninitialized
>>> np.empty([2, 2], dtype=int) array([[-1073741821, -1067949133], [ 496041986, 19249760]]) #uninitializedSee :
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.core._multiarray_umath.empty_like
numpy.full
numpy.ndarray
numpy.zeros
dask.array.core.insert_to_ooc
numpy.empty_like
dask.array.core.retrieve_from_ooc
scipy.interpolate._fitpack2.LSQSphereBivariateSpline
numpy.empty
numpy.ones
scipy.signal.windows._windows.dpss
scipy.interpolate._fitpack2.SmoothSphereBivariateSpline
numpy.array
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