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numpy.ndarray
 Class
 Parameters
  Method __new__
 Attributes
 Methods
 Source and Reference

numpy.ndarray

An array object represents a multidimensional, homogeneous array of fixed-size items.

Class

numpy.ndarray(shape, dtype=float, buffer=None, offset=0, strides=None, order=None)

An associated data-type object describes the format of each element in the array (its byte-order, how many bytes it occupies in memory, whether it is an integer, a floating point number, or something else, etc.)

Arrays should be constructed using array, zeros or empty (refer to the See Also section below). The parameters given here refer to a low-level method (ndarray(…)) for instantiating an array.

Parameters

ParametersObjectOptionalDefaultDescription shapetuple of ints  Shape of created array. dtypedata-typeoptionalfloatAny object that can be interpreted as a numpy data type. bufferobject exposing buffer interfaceoptionalNoneUsed to fill the array with data. offsetintoptional0Offset of array data in buffer. stridestuple of intsoptionalNoneStrides of data in memory. order{‘C’, ‘F’}optionalNoneRow-major (C-style) or column-major (Fortran-style) order.

Method __new__

There are two modes of creating an array using __new__:
  1. If buffer is None, then only shape, dtype, and order are used.

  2. If buffer is an object exposing the buffer interface, then all keywords are interpreted.

No __init__ method is needed because the array is fully initialized after the __new__ method.

Attributes

AttributesReturnDescription TndarrayThe transposed array. databufferPython buffer object pointing to the start of the array’s data. dtypedtype objectData-type of the array’s elements. flagsdictInformation about the memory layout of the array. flatnumpy.flatiter objectA 1-D iterator over the array. imagndarrayThe imaginary part of the array. realndarrayThe real part of the array. sizeintNumber of elements in the array. itemsizeintLength of one array element in bytes. nbytesintTotal bytes consumed by the elements of the array. ndimintNumber of array dimensions. shapetuple of intsTuple of array dimensions. stridestuple of intsTuple of bytes to step in each dimension when traversing an array. ctypesctypes objectAn object to simplify the interaction of the array with the ctypes module. basendarrayBase object if memory is from some other object.

Methods

MethodDescription all([axis, out, keepdims, where])Returns True if all elements evaluate to True. any([axis, out, keepdims, where])Returns True if any of the elements of a evaluate to True. argmax([axis, out])Return indices of the maximum values along the given axis. argmin([axis, out])Return indices of the minimum values along the given axis. argpartition(kth[, axis, kind, order])Returns the indices that would partition this array. argsort([axis, kind, order])Returns the indices that would sort this array. astype(dtype[, order, casting, subok, copy])Copy of the array, cast to a specified type. byteswap([inplace])Swap the bytes of the array elements choose(choices[, out, mode])Use an index array to construct a new array from a set of choices. clip([min, max, out])Return an array whose values are limited to [min, max]. compress(condition[, axis, out])Return selected slices of this array along given axis. conj()Complex-conjugate all elements. conjugate()Return the complex conjugate, element-wise. copy([order])Return a copy of the array. cumprod([axis, dtype, out])Return the cumulative product of the elements along the given axis. cumsum([axis, dtype, out])Return the cumulative sum of the elements along the given axis. diagonal([offset, axis1, axis2])Return specified diagonals. dot(b[, out])Dot product of two arrays. dump(file)Dump a pickle of the array to the specified file. dumps()Returns the pickle of the array as a string. fill(value)Fill the array with a scalar value. flatten([order])Return a copy of the array collapsed into one dimension. getfield(dtype[, offset])Returns a field of the given array as a certain type. item(*args)Copy an element of an array to a standard Python scalar and return it. itemset(*args)Insert scalar into an array (scalar is cast to array’s dtype, if possible) max([axis, out, keepdims, initial, where])Return the maximum along a given axis. mean([axis, dtype, out, keepdims, where])Returns the average of the array elements along given axis. min([axis, out, keepdims, initial, where])Return the minimum along a given axis. newbyteorder([new_order])Return the array with the same data viewed with a different byte order. nonzero()Return the indices of the elements that are non-zero. partition(kth[, axis, kind, order])Rearranges the elements in the array in such a way that the value of the element in kth position is in the position it would be in a sorted array. prod([axis, dtype, out, keepdims, initial, …])Return the product of the array elements over the given axis ptp([axis, out, keepdims])Peak to peak (maximum - minimum) value along a given axis. put(indices, values[, mode])Set a.flat[n] = values[n] for all n in indices. ravel([order])Return a flattened array. repeat(repeats[, axis])Repeat elements of an array. reshape(shape[, order])Returns an array containing the same data with a new shape. resize(new_shape[, refcheck])Change shape and size of array in-place. round([decimals, out])Return a with each element rounded to the given number of decimals. searchsorted(v[, side, sorter])Find indices where elements of v should be inserted in a to maintain order. setfield(val, dtype[, offset])Put a value into a specified place in a field defined by a data-type. setflags([write, align, uic])Set array flags WRITEABLE, ALIGNED, (WRITEBACKIFCOPY and UPDATEIFCOPY), respectively. sort([axis, kind, order])Sort an array in-place. squeeze([axis])Remove axes of length one from a. std([axis, dtype, out, ddof, keepdims, where])Returns the standard deviation of the array elements along given axis. sum([axis, dtype, out, keepdims, initial, where])Return the sum of the array elements over the given axis. swapaxes(axis1, axis2)Return a view of the array with axis1 and axis2 interchanged. take(indices[, axis, out, mode])Return an array formed from the elements of a at the given indices. tobytes([order])Construct Python bytes containing the raw data bytes in the array. tofile(fid[, sep, format])Write array to a file as text or binary (default). tolist()Return the array as an a.ndim-levels deep nested list of Python scalars. tostring([order])A compatibility alias for tobytes, with exactly the same behavior. trace([offset, axis1, axis2, dtype, out])Return the sum along diagonals of the array. transpose(*axes)Returns a view of the array with axes transposed. var([axis, dtype, out, ddof, keepdims, where])Returns the variance of the array elements, along given axis. view([dtype][, type])New view of array with the same data.

Source and Reference

  • https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html
  • https://github.com/numpy/numpy/blob/v1.21.0/numpy/core/src/multiarray/arrayobject.c

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ID: 220100008 Last Updated: 1/8/2022 Revision: 0


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