×

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 contains n-dimensional arrays of similar data types.

Python numpy functions List

Misc


Related Topics

numpy.full() in Python

numpy.full() in Python The full() method of Python numpy class returns a new array of specified shape and type, filled with fill_value. Syntax numpy.full(shape, fill_value, dtype=None, order='C') Parameter shape:This parameter represents the number of rows order :The order parameter can...

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.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.

numpy.asarray_chkfinite() in Python

numpy.asarray_chkfinite() in Python The numpy.asarray_chkfinite() function converts the input to an array, checking for NaNs or Infs. Syntax numpy.asarray_chkfinite(a, dtype=None, order=None) Parameter a : This parameter represents an input data, which can be in the form of lists, tuples,...

2 minutes read.

numpy.append() in Python

numpy.append() in Python The numpy.append() function appends the values to the end of an array. Syntax numpy.append(arr, values, axis=None) Parameter The numpy.append() function consists of three parameters, which are as follows: arr : This parameter represents the values that are...

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.repeat() in Python

numpy.repeat() in Python The numpy.repeat() function repeats the elements of an array. Syntax numpy.repeat(a, repeats, axis=None) Parameter The numpy.repeat() function consists of three parameters, which are as follows: a: This parameter represents the input array. repeats: This parameter represents the...

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.broadcast_arrays() in Python

numpy.broadcast_arrays() in Python The numpy.broadcast_arrays() function broadcasts any number of arrays against each other. Syntax numpy.broadcast_arrays(*args, **kwargs) Parameter  The numpy.broadcast_arrays() function has two parameters which are as follows: `*args`: This parameter represents the arrays to broadcast. subok: It is an optional parameter...

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.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...

1 minute read.

numpy.diagflat() in Python

numpy.diagflat() in Python The diagflat() function of Python numpy class creates a two-dimensional array with the array_like input as a diagonal to the new output array. Syntax numpy.diagflat (a, k = 0) Parameter a :...

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.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.

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.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.

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.

Read numpy array

Numpy is a numerical python that deals with multi-dimensional arrays mostly used in storing multiple values. Python's core scientific computing package is called NumPy. This Python library offers a multidimensional...

3 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.stack() in Python

numpy.stack() in Python The numpy.stack() function joins a sequence of arrays along a new axis. Syntax numpy.stack(arrays, axis=0, out=None) Parameter arrays: This parameter represents a sequence of the array where each array have the same shape. axis: It is an...

1 minute read.