How to keep two decimal places in the python output

Mondo Education Updated on 2024-01-31

In Python, we can control the number of decimal places in the output in a variety of ways to meet different accuracy needs. Autumn and Winter Check-in Challenge

Use the built-in function round().

Python's round() function can be used to round values and specify the number of decimal places. To keep two decimal places, you can use the following syntax:

num = 3.141592 rounded num = round(num, 2) print(rounded num) output: 314

In the above **, the second argument of the round() function specifies the number of decimal places to keep. In this case, we set it to 2 to keep two decimal places.

Use formatted strings.

Another way to control the number of decimal places is to use formatted strings. In Python, we can format floating-point numbers using f or f format specifiers.

To keep two decimal places, you can use the following syntax:

num = 3.1415927 formatted_num = "".format(num) print(formatted num) output: 314

In the above **, is a format specifier that represents the formatting of floating-point numbers to retain two decimal places in strings. The format() function inserts the value of num into the appropriate position in the string and returns the formatted string.

f-string.

Also, from python 36 onwards, the use of f-string formatting strings is also supported. Here's an example of using f-string:

num = 3.14159265 formatted_num = f""print(formatted num) output: 314

In the above **, we create an f-string by prefixing the string with the letter f, and use in it to specify the variables and formatting specifiers to be formatted. This makes it more concise and easy to read.

Summary. By using the round() function or formatting strings, we can easily control the number of decimal places in the python output. These methods allow us to set the accuracy as needed, improving readability and maintainability.

It is important to note that preserving the number of decimal places may have an impact on the accuracy of the values, so these methods need to be used with caution when dealing with applications that require high-precision calculations or scientific calculations.

Related Pages