×

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 C_contiguous or F_contiguous where C order operates row-rise on the array, and  F order operates column-wise operations.

Return

This function returns a copy of the input array, flattened to one dimension.

Example 1

# Python Program explaining
# numpy.ndarray.flatten() function
import numpy as np 
arr = np.arange(12).reshape(3,4)
print ('Original array:' )
print (arr)
# default is column-major
print ('The flattened array:' )
print (arr.flatten() )
print ('The flattened array in F-style ordering:')
print (arr.flatten(order = 'F'))

Output

Original array:
[[ 0  1  2  3]
[ 4  5  6  7]
[ 8  9 10 11]]
The flattened array:
[ 0  1  2  3  4  5  6  7  8  9 10 11]
The flattened array in F-style ordering:
[ 0  4  8  1  5  9  2  6 10  3  7 11]

Related Topics

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.ones() in Python

numpy.ones() in Python The ones() method of Python numpy class returns a new array of given shape and type, filled with ones. Syntax numpy.ones(shape, dtype=None, order='C') Parameter The numpy.ones() method consists of three parameters, which are as...

1 minute read.

numpy.split() in Python

numpy.split() in Python The numpy.split() function splits an array into multiple sub-arrays. Syntax numpy.split(ary, indices_or_sections, axis=0) Parameter ary: This parameter represents the Array to be divided into sub-arrays. indices_or_sections : This parameter represents an int or an 1-D array. If indices_or_sections is an...

1 minute read.

numpy.empty() in Python

numpy.empty() in Python The empty() method of Python numpy class returns a new array of the specified shape and type, without initializing the entries. Syntax numpy.empty(shape, dtype=float, order='C') Parameters The numpy.empty method consists of three parameters, which...

1 minute read.

numpy.ravel() in Python

numpy.ravel() in Python The numpy.ravel() returns a contiguous flattened array(1-D array), containing the elements of the input. Syntax numpy.ravel(a, order='C') Parameter The numpy.ravel() method consists of two parameters, which are as follows: a: This parameter represents an Input...

2 minutes 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.meshgrid() in Python

numpy.meshgrid() in Python The meshgrid() function of Python numpy class returns the coordinate matrices from coordinate vectors. Syntax numpy.meshgrid(*xi, **kwargs) Parameter The numpy.meshgrid() function consists of four parameters which are as follow: x1, x2,…, xn: This parameter signifies...

2 minutes read.

numpy.unique() in Python

numpy.unique() in Python The numpy.unique() function finds the unique elements of an array and returns the sorted unique elements for the specified array.  Syntax numpy.unique(ar, return_index=False, return_inverse=False, return_counts=False, axis=None) Parameter ar : This parameter returns an Input array.If the aaray is...

2 minutes read.

numpy.squeeze() in Python

numpy.squeeze() in Python The numpy.squeeze() function removes single-dimensional entries from the shape of an array. Syntax numpy.squeeze(a, axis=None) Parameter The numpy.squeeze() function has three parameters which are as follows: a: It represents the Input data. axis: This parameter signifies an int or...

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.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.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.ascontiguousarray() in Python with Example

numpy.ascontiguousarray() in Python The ascontiguousarray() returns a contiguous array (ndim>= 1) in memory (C order). Syntax numpy.ascontiguousarray(a, dtype=None) Parameter arr : This parameter includes the input data, in any form that can be converted to an array....

1 minute read.

numpy.asscalar() in Python

The numpy.asscalar() function converts an array of size 1 to its scalar equivalent. Syntax numpy.asscalar(a) Parameter a: This parameter represents an input array of size 1. Return This function returns a scalar representation of parameter ‘a’. The output...

1 minute read.

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.swapaxes() in Python

numpy.swapaxes() in Python The numpy.swapaxes() function interchanges the two specified axes of the given array. Syntax numpy.swapaxes(a, axis1, axis2) Parameter The numpy.swapaxes() method consists of three parameters, which are as follows: a : This parameter represents the Input array. axis1 : It represents...

1 minute read.

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...

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.loadtxt() Python

Python numpy.loadtxt() The loadtxt() function of Python numpy class loads the data from a text fileand provides a fast reader for simple text files. Syntax numpy.loadtxt(fname, dtype=<class'float'>, comments='#', delimiter=None, converters=None, skiprows=0, usecols=None, unpack=False, ndmin=0, encoding='bytes', max_rows=None) Parameter fname : This parameter represents a file, filename, or...

2 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.