×

numpy.dstack() in Python

numpy.dstack() in Python

The numpy.dstack() function stacks the arrays in sequence depth wise (along third axis).

Syntax

numpy.dstack(tup)

Parameter

tup: This parameter represents the sequence of arrays where the arrays must have the same shape along all except the third axis.

Return

This function returns the array formed by stacking the given arrays, will be at least 3-D.

Example 1

# Python program explaining
# numpy.dstack() function
import numpy as np
inp_array1 = np.array([[ 11, 12, 13], [ -11, -12, -13]] )
print ("Input array: ", inp_array1) 
inp_array2 = np.array([[ 14, 15, 16], [ -14, -15, -16]] )
print ("Input array: ", inp_array2) 
#stack arrays depth wise (along third axis)
out_array = np.dstack((inp_array1, inp_array2))
print ("Output array: ", out_array)

Output

Input array:  [[ 11  12  13]
[-11 -12 -13]]
Input array:  [[ 14  15  16]
[-14 -15 -16]]
Output array:  [[[ 11  14]
[ 12  15]
[ 13  16]]
[[-11 -14]
[-12 -15]
[-13 -16]]]

Related Topics

numpy.diag() in Python

numpy.diag() in Python The diag() function of Python numpy class extracts and construct a diagonal array. Syntax numpy.diag(v, k=0) Parameter a: It represents the array_like. k: It represents the diagonal value that we require. It is an...

1 minute read.

numpy.ndarray.T in Python

numpy.ndarray.T in Python The numpy.ndarray.T attribute makes a Transpose of an array having a dimension greater than or equal to 2. Syntax ndarray.T() Parameter NA Return This attribute returns the transpose of an array Example 1 # Python Program explaining # numpy.ndarray.T()...

1 minute read.

numpy.transpose() in Python

numpy.transpose() in Python The numpy.transpose() permutes the dimensions of an array. Syntax numpy.transpose(a, axes=None) Parameter a : This parameter represents an input array. axes : It is an optional parameter which by default, reverses the dimensions, otherwise permutes the axes according...

1 minute read.

numpy.atleast_1d() in Python

numpy.atleast_1d() in Python The numpy.atleast_1d() function converts the inputs to arrays with at least one dimension. Syntax numpy.atleast_1d(*arys) Parameter arys1, arys2, … : This parameter represents one or more input arrays. Return This function returns an array, or list...

1 minute read.

numpy.reshape() in Python

numpy.reshape() in Python The numpy.reshape() function gives a new shape to an array without changing its data. Syntax numpy.reshape(a, newshape, order='C') Parameter The numpy.reshape() method consists of three parameters, which are as follows: array : It represents our...

1 minute read.

numpy.full_like() in Python

numpy.full_like() in Python The full_like() method of Python numpy class returns a full array with the same shape and type as a given array. Syntax numpy.full_like(a, fill_value, dtype=None, order='K', subok=True) Parameter shape :This parameter represents the number of rowsorder...

1 minute read.

numpy.linspace() in Python

numpy.linspace() in Python The linspace() function of Python numpy class returns the number spaces equally over the given interval i.e.  [start, stop]. Syntax numpy.linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None, axis=0) Parameter start: It is an optional parameter which represents the start of the...

1 minute read.

numpy.trim_zeros() in Python

numpy.trim_zeros() in Python The numpy.trim_zeros() trims the leading and/or trailing zeros from a 1-D array or sequence. Syntax numpy.trim_zeros(filt, trim='fb') Parameter The numpy.trim_zeros() function consists of two parameters, which are as follows: filt : This parameter represents the 1-D...

1 minute read.

numpy.ndarray.flatten() in Python

numpy.ndarray.flatten() in Python The numpy.ndarray.flatten() returns a copy of the array collapsed into 1-dimension. Syntax ndarray.flatten(order='C') Parameter The numpy. ndarray.flatten() method consists of one parameter, which is as follows: order : This parameter can be either...

1 minute read.

numpy.identity() in Python

numpy.identity() in Python The identity() method of Python numpy class returns an identity matrix i.e., a square matrix with ones on the main diagonal. Syntax numpy.identity(n, dtype=None) Parameters The numpy. identity()  method consists of two parameters,...

1 minute read.

numpy.copyto() in Python

numpy.copyto() in Python The numpy.copyto() function copies values from one array to another array. Syntax numpy.copyto(dst, src, casting='same_kind', where=True) Parameter The numpy. copyto() method consists of three parameters, which are as follows: dst : It represents the array into which our...

1 minute read.

numpy.geomspace() in Python

numpy.geomspace() in Python The geomspace() function of Python numpy class returns the numbers spaced equally on a log scale (a geometric progression). This method is similar to numpy.logspace() but with endpoints specified directly. Syntax numpy.geomspace(start, stop, num=50, endpoint=True, dtype=None, axis=0) Parameter start: This...

1 minute read.

numpy.atleast_2d() in Python

numpy.atleast_2d() in Python The numpy.atleast_2d() function converts the inputs as arrays with at least two dimensions. Syntax numpy.atleast_2d(*arys) Parameter arys1, arys2, … : This parameter represents one or more array-like sequences where the non-array inputs are converted...

1 minute read.

Numpy.asmatrix() in Python with Example

Numpy.asmatrix() in Python The asmatrix() function returns the specified input as a matrix. It does not make a copy if the input is already a matrix or an ndarray. Syntax numpy.asmatrix(data, dtype=None) Parameter data  :This parameter...

1 minute read.

numpy.tile() in Python

numpy.tile() in Python The numpy.tile() function constructs an array by repeating the parameter ‘A’  the number of times as specified by the ‘reps’ parameter. Syntax numpy.tile(A, reps) Parameter The numpy.tile() function consists of two parameters, which...

1 minute read.

numpy.resize() in Python

numpy.resize() in Python The numpy.resize() returns a new array with the specified shape. If the new array is larger than the original array, then the new array is filled with repeated...

1 minute read.

NumPy vs SciPy

NumPy- NumPy is the most important Python package for scientific computing. It's a Python library that includes a multidimensional array object, derived objects (like masked arrays and matrices), and a...

3 minutes read.

numpy.asarray() in Python

numpy.asarray() in Python The numpy.asarray()function is used to convert the input to an array. Input includes lists, lists of tuples, tuples, tuples of tuples,etc,. Syntax numpy.asarray(a, dtype=None, order=None) Parameter arr : This parameter includes theinput data, in any...

1 minute read.

numpy.vstack() in Python

numpy.vstack() in Python The numpy.vstack() function stacks the arrays in a sequence vertically (row wise). Syntax numpy.vstack(tup) Parameter tup: This parameter represents the sequence of ‘ndarrays’ where the arrays must have the same shape along all...

1 minute read.

numpy.zeros_like() in Python

Numpy.zeros_like() in Python The zeros_like() method of Python numpy class returna an array of zeros with the same shape and type as that of specified array. Syntax numpy.zeros_like(a, dtype=None, order='K', subok=True) Parameter The numpy.zeros_like() method consists of four...

1 minute read.