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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

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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.arrange() in Python

Python numpy.arrange() The arrange() function of Python numpy class returns an array with equally spaced elements as per the interval where the interval mentioned is half opened, i.e. [Start, Stop). Syntax numpy.arange([start, ]stop, [step, ]dtype=None) Parameter start :It...

1 minute read.

numpy.frombuffer() in Python

numpy.frombuffer() in Python The frombuffer()  function of Python numpy class creates an array by using the given buffer. Syntax numpy.frombuffer(buffer, dtype=float, count=-1, offset=0) Parameter The numpy.frombuffer() method consists of four parameters, which are as follows: buffer: This parameter...

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 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.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.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.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.asanyarray() in Python with Example

numpy.asanyarray() in Python The asanyarray() function of Python numpy class converts the input to an ndarray, but pass ndarray subclasses through. Syntax numpy.asanyarray(a, dtype=None, order=None) Parameter arr : This parameter includes the input data, in any form that...

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.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.ndarray.flat() in Python

numpy.ndarray.flat() in Python The numpy.ndarray.flat() returns a 1-D iterator over the array. This function is not a subclass of, Python’s built-in iterator object, otherwise it will act the same as a...

1 minute read.

numpy.concatenate() in Python

numpy.concatenate() in Python The numpy.concatenate() function joins a sequence of arrays along an existing axis. Syntax numpy.concatenate((a1, a2, ...), axis=0, out=None) Parameter a1, a2, … : This parameter represents the sequence of the array where they must have the same shape,...

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.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.

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.logspace() in Python

numpy.logspace() in Python The logspace() function of Python numpy class returns the equal number of spaces over every interval on a log scale. Syntax numpy.logspace(start, stop, num=50, endpoint=True, base=10.0, dtype=None, axis=0) Parameter start: It represents the start of the interval range. stop:...

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.flip() in Python

numpy.flip() in Python The numpy.flip() function is used to reverse the order of elements in an array along the given axis where the shape of the array is preserved, but the...

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.