# Tag Archives: Python numpy-arrayCreation

In this article, let’s discuss how to convert a list and tuple into arrays using NumPy. NumPy provides various methods to do the same. Let’s… Read More
Python lists are a substitute for arrays, but they fail to deliver the performance required while computing large sets of numerical data. To address this… Read More
A list in Python is a linear data structure that can hold heterogeneous elements they do not require to be declared and are flexible to… Read More
In many circumstances, datasets can be incomplete or tainted by the presence of invalid data. For example, a sensor may have failed to record a… Read More
numpy.load() in Python is used load data from a text file, with aim to be a fast reader for simple text files. Note that each… Read More
numpy.geomspace() is used to return numbers spaced evenly on a log scale (a geometric progression). This is similar to numpy.logspace() but with endpoints specified directly. Each… Read More
numpy.ascontiguousarray()function is used when we want to return a contiguous array in memory (C order). Syntax : numpy.ascontiguousarray(arr, dtype=None) Parameters : arr : [array_like] Input… Read More
numpy.asanyarray()function is used when we want to convert input to an array but it pass ndarray subclasses through. Input can be scalars, lists, lists of… Read More
numpy.asarray()function is used when we want to convert input to an array. Input can be lists, lists of tuples, tuples, tuples of tuples, tuples of… Read More
This numpy method returns an array of given shape and type as given array, with zeros.   Syntax: numpy.zeros_like(array, dtype = None, order = 'K', subok… Read More
The numpy.zeros() function returns a new array of given shape and type, with zeros. Syntax: numpy.zeros(shape, dtype = None, order = 'C') Parameters : shape… Read More
The numpy.linspace() function returns number spaces evenly w.r.t interval. Similar to numpy.arange() function but instead of step it uses sample number. Syntax :   numpy.linspace(start, stop, num… Read More
The numpy.logspace() function returns number spaces evenly w.r.t interval on a log scale. Syntax :   numpy.logspace(start, stop, num = 50, endpoint = True, base = 10.0,… Read More
The numpy.one_like() function returns an array of given shape and type as a given array, with ones. Syntax: numpy.ones_like(array, dtype = None, order = 'K',… Read More
The numpy.ones() function returns a new array of given shape and type, with ones.  Syntax: numpy.ones(shape, dtype = None, order = 'C') Parameters :  shape… Read More