The most Pythonic way to convert a float to a string is to pass the float into the built-in str() function. For example, str(1.23) converts the float 1.23 to the string ‘1.23’. Here’s a minimal example: Python Float to String Precision (Decimals) To set the decimal precision after the comma, you can use the f-string … Read more
Problem Formulation Consider the following minimal example where a TypeError: ‘float’ object is not subscriptable occurs: This yields the following output: Solution Overview Python raises the TypeError: ‘float’ object is not subscriptable if you use indexing or slicing with the square bracket notation on a float variable that is not indexable. However, the float class … Read more
The most Pythonic way to convert a list of floats fs to a list of strings is to use the one-liner fs = [str(x) for x in fs]. It iterates over all elements in the list fs using list comprehension and converts each list element x to a string value using the str(x) constructor. This … Read more
Summary: Use the string literal syntax f”{number:.nf}” to suppress the scientific notation of a number to its floating-point representation. Problem Formulation: How will you suppress a number represented in scientific notation by default to a floating-point value? Note: Generally, Python represents huge floating-point numbers or very small floating-point numbers in their scientific form. Scientific notation … Read more
The most Pythonic way to convert a list of integers ints to a list of strings is to use the one-liner strings = [str(x) for x in ints]. It iterates over all elements in the list ints using list comprehension and converts each list element x to a string using the str(x) constructor. This article … Read more
Problem Formulation Using Python, we frequently need to deal with different kinds of numbers. We need to ask ourselves how to specify the number of decimal places in Python. By default, any number that includes a decimal point is considered a floating-point number. These binary floating-point numbers are hardware-based and lose accuracy after about 15 … Read more
In this tutorial, we will learn the different methods to print a large number in Python. And the contrast between printing integers or floats in those situations. As you go through the article, feel free to watch my explainer video: Problem Formulation: Float vs Integer Printing Python by default prints an approximation in the case … Read more
La forma más pitónica de convertir una lista de cadenas en una lista de flotantes es usar una comprensión de listas floats = [float(x) for x in strings]. Recorre todos los elementos de la lista y convierte cada elemento de la lista x en un flotante utilizando la función incorporada float(x). Este artículo muestra las … Read more
Problem Formulation Given a floating point number x = 123.456. How to print the number without decimal remainder? Solution 1: int() Python’s built-in function int(x) converts any float number x to an integer by truncating it towards 0. For example, positive int(1.999) will be truncated to 1 and negative int(-1.999) to -1. To boost your … Read more
Problem Formulation If you print a float value in Python that is smaller than 0.0001, Python will use the scientific notation for small numbers such as 1e-05 that is short for 1*1/10**-5. Here’s an example output when printing smaller and smaller floats to the shell. If there are more than three zeros after the decimal … Read more
Problem Formulation Given a string containing digits such as ‘123.456’. How to convert it to a double in Python such as 123.456? Solution Python doesn’t provide an explicit “double” data type. However, it provides the float type that behaves the same and has the same precision as doubles in C, C++, or Java. To convert … Read more
Introduction Problem Formulation: Given a floating-point value. How to limit it to two decimal places in Python? Example: Let’s have a look at a program where you have to calculate the value of pi. Output: Perfect! pi yields you a value = 3.141592653589793. But, what if you need the value of pi only up to … Read more