The Numpy Library

How to Compare Each Element of a Numpy Array Against a Value?

To compare each element of a NumPy array arr against the scalar x using any of the greater (>), greater equal (>=), smaller (<), smaller equal (<=), or equal (==) operators, use the broadcasting feature with the array as one operand and the scalar as another operand. For example, the greater comparison arr > x …

How to Compare Each Element of a Numpy Array Against a Value? Read More »

How to Create a Dictionary From Two NumPy Arrays?

Anyone working with lists of data will encounter a need to combine them in a useful way. Often the best result is a dictionary consisting of keys and values. In this article, you’ll learn how to create a dictionary from two NumPy arrays. Problem Formulation: Given two NumPy arrays a and b. Create a dictionary …

How to Create a Dictionary From Two NumPy Arrays? Read More »

How To Check If a List Is Nested In Python?

Summary: One of the following methods can be used to check if a list is empty :- Method 1: Using isinstance() With any() Method 2: Using isinstance() And len() Methods Within For Loop Problem: Given a list; how to check if it is nested or not? Considering that you have a list such that it is nested at …

How To Check If a List Is Nested In Python? Read More »

How to Create a Sequence of Linearly Increasing Values with Numpy Arange?

Problem: How to create a sequence of linearly increasing values? Solution: Use NumPy’s arange() function. The np.arange([start,] stop[, step]) function creates a new NumPy array with evenly-spaced integers between start (inclusive) and stop (exclusive). The step size defines the difference between subsequent values. For example, np.arange(1, 6, 2) creates the NumPy array [1, 3, 5]. …

How to Create a Sequence of Linearly Increasing Values with Numpy Arange? Read More »

How to Initialize a NumPy Array with Zeros and Ones

Numpy is a popular Python library for data science focusing on linear algebra. In this article, you’ll learn how to initialize your NumPy array. How to Initialize a NumPy Array with Zeros? To initialize your NumPy array with zeros, use the function np.zeros(shape) where shape is a tuple that defines the shape of your desired …

How to Initialize a NumPy Array with Zeros and Ones Read More »

Matplotlib Cursor — How to Add a Cursor and Annotate Your Plot

This article explains how to insert a cursor to your plot, how to customize it and how to store the values that you selected on the plot window. In lots of situations we may want to select and store the coordinates of specific points in our graph; is it just for assessing their value or …

Matplotlib Cursor — How to Add a Cursor and Annotate Your Plot Read More »

Scipy Interpolate 1D, 2D, and 3D

In this article we will explore how to perform interpolations in Python, using the Scipy library. Scipy provides a lot of useful functions which allows for mathematical processing and optimization of the data analysis. More specifically, speaking about interpolating data, it provides some useful functions for obtaining a rapid and accurate interpolation, starting from a …

Scipy Interpolate 1D, 2D, and 3D Read More »