×

numpy.fromiter() in Python

numpy.fromiter() in Python The fromiter() function of Python numpy class creates a ndarray by using an iterable object. It returns a one-dimensional ndarray object. Syntax
numpy.fromiter(iterable, dtype, count=-1)
Parameter The numpy.frombuffer() method consists of three parameters, which are as follows:
  1. Iterable: This parameter represents an iterable object.
  2. dtype: It represents the data type of the resultant array items.
  3. count: This functiondepicts the number of items to read from the buffer in the specified array.
Return This function returns an array created by using the iterable object. Example 1
# Python Programming giving an example for 
# numpy.fromiter() function
importnumpy as numpy
my_list = [0,2,4,6] 
it = iter(my_list) 
n = numpy.fromiter(it, dtype = float) 
print(n) 
print(type(n))
Output
[ 0.  2.  4.  6.]
<class 'numpy.ndarray'>

Related Topics

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.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.column_stack() in Python

numpy.column_stack() in Python The numpy.column_stack() function stacks  the 1-D arrays as columns into a 2-D array. It takes a sequence of 1-D arrays and stacks them as columns to make a...

1 minute read.

Numpy Attributes

Numpy Attributes The Numpy collections give attributes to the numpy arrays. These attributes assist us with knowing the shape, aspect, and different properties of a given numpy array. As we know,...

4 minutes read.

numpy.tri() in Python

numpy.tri() in Python The tri() function of Python numpy class returns an array with ones at and below the given diagonal(k value) and zeros elsewhere. Syntax numpy.tri(N, M=None, k=0, dtype=<class 'float'>) Parameter R : It represents the number...

1 minute 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.copy() in Python with Example

Numpy.copy() in Python The copy() function of Python numpy class returns an array copy for the given object. Syntax numpy.copy(a, order='K') Parameter a: It represent the array_like input data. order :  This parameter controls the memory layout of...

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.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.tril() in Python

numpy.tril() in Python The tril() function of Python numpy class returns a copy of an array with the elements above the k-th diagonal zeroed. Syntax numpy.tril(m, k=0) Parameter a: It represents the input array k: This parameter represents...

1 minute read.

numpy.eye() in Python

numpy.eye() in Python: The eye() method of Python numpy class returns a 2-D array with ones on the diagonal and zeros elsewhere. Syntax numpy.eye(N, M=None, k=0, dtype=<class 'float'>, order='C') Parameters The numpy.eye()  method consists of five parameters, which...

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.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.broadcast_to() in Python

numpy.broadcast_to() in Python The numpy.broadcast_to() function broadcasts an array to a new shape. Syntax numpy.broadcast_to(array, shape, subok=False) Parameter The numpy.broadcast_to() function has three parameters which are as follows:  array: This parameter represents the array to broadcast. shape: It signifies the shape...

1 minute 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.hstack() in Python

numpy.hstack() in Python The numpy.hstack() function stacks the arrays in a sequence horizontally (column wise). Syntax numpy.hstack(tup) Parameter tup: This parameter represents the sequence of ‘ndarrays’ where the arrays must have the same shape, except 1-D...

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.

Python NumPy Tutorial

NumPy is a scientific library in Python Programming Language. It provides objects and routines for fast operations on arrays, random simulations, statistical operations, sorting, etc. Numpy has an ndarray object which...

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.

numpy.rollaxis() in Python

numpy.rollaxis() in Python The numpy.rollaxis() function rolls the given axis backwards until it lies in the specified position. Syntax numpy.rollaxis(a, axis, start=0) Parameter The numpy. rollaxis() method consists of three parameters, which are as follows: a : It represents an...

1 minute read.