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Tag: 1D

Create a 1D / 2D Numpy Arrays of zeros or ones

In this article we will discuss how to create a Numpy array of different shapes and initialized with 0 & 1. numpy.zeros() Python’s Numpy module provides a function to create a numpy array of given shape & type and all values in it initialized with 0’s i.e. numpy.zeros(shape, dtype=float, order=’C’) Arguments: Advertisements shape : Shape …

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How to Reverse a 1D & 2D numpy array using np.flip() and [] operator in Python

In this article we will discuss different ways to reverse the contents of 1D and 2D numpy array ( columns & rows ) using np.flip() and [] operator. Reverse 1D Numpy array using [] operator trick First of all import numpy module i.e. Advertisements import numpy as np Now suppose we have a numpy array …

How to Reverse a 1D & 2D numpy array using np.flip() and [] operator in PythonRead More

6 Ways to check if all values in Numpy Array are zero (in both 1D & 2D arrays) – Python

In this article we will discuss seven different ways to check if all values in a numpy array are 0. Then we will look how to find rows or columns with only zeros in a 2D array or matrix. Check if all values in a 1D Numpy Array are Zero First of all, we will …

6 Ways to check if all values in Numpy Array are zero (in both 1D & 2D arrays) – PythonRead More

Python: Convert Matrix / 2D Numpy Array to a 1D Numpy Array

In this article we will discuss different ways to convert a 2D numpy array or Matrix to a 1D Numpy Array. First, import the numpy module, Advertisements import numpy as np Convert 2D Numpy array / Matrix to a 1D Numpy array using flatten() Python’s Numpy module provides a member function in ndarray to flatten …

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np.ones() – Create 1D / 2D Numpy Array filled with ones (1’s)

In this article, we will discuss how to create 1D or 2D numpy arrays filled with ones (1s). np.ones() – Create 1D / 2D Numpy Array filled with ones (1’s) numpy.ones() Python’s Numpy module provides a function to create a numpy array of given shape & type and filled with 1’s i.e, numpy.ones(shape, dtype=float, order=’C’) …

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