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 … Read more
Hey Finxters! I am back to write another top 10 cheat sheets for Python with libraries, open-source and frames that can be used with it. Today, we are going to discuss Selenium Cheat Sheets used in Python. To better explain, Selenium is an open-source web-based automation tool that allows you to test your web application … Read more
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 … Read more
The min() function returns the minimum of the provided arguments. As arguments, you can either pass a number of comma-separated values, or a single iterable. An optional key function argument allows you to customize the calculation of the minimum by explicitly defining the weight of each value in the iterable that is used as a … Read more
In this article we are going to discuss one of the most commonly searched questions by Python enthusiasts, i.e., How To Run A File In The IPython Console As Default Instead Of Terminal? #Note Problem Statement Suppose you have started a new project in PyCharm and you have installed and selected Anaconda python.exe as the … Read more
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 … Read more
The max() function returns the maximum of the provided arguments. You can pass either an arbitrary number of values, comma-separated, or an iterable as arguments. An optional key function argument allows you to customize the calculation of the maximum by explicitly defining the weight of each value in the iterable that is used as a … Read more
Problem Formulation: Given a one-dimensional NumPy array. How to create a new two-dimensional array by reshaping the original array so that the new array has x rows and y columns? Here’s an example of what you’re trying to do: # Given: [0 1 2 3 4 5] x = 2 # rows y = 3 … Read more
Problem: What is the best way to check whether a given object is of a given type? For example, if you have a variable object, how to check if it’s a string? Check with Subclasses Solution: To check if an object is an instance of str or any of its subclasses, use isinstance: Note that … Read more
Summary: NoneType attribute error occurs when the type of object being referenced is None. To handle this error you can either use the try-except blocks or you may also use if-else statements according to your requirement. In this article, you will learn about attribute errors with the help of numerous scenarios/examples where you come across … Read more
Given two 2D arrays a and b. You can perform standard matrix multiplication with the operation np.matmul(a, b) if the array a has shape (x, y) and array be has shape (y, z) for some integers x, y, and z. Problem Formulation: Given a two-dimensional NumPy array (=matrix) a with shape (x, y) and a … Read more
Problem: How to create a sequence of evenly-spaced values Using pure, vanilla Python, and Using NumPy’s linspace() method. Example: Given three arguments: start=10, stop=20, number_of_values=11. How do you create a sequence of 11 values x0, x1, …, x10 where two subsequent values xi and x(i-1) have the same distance for all i in {0, …, … Read more