If we think that a variable will contain a decimal point value, we convert them to float. Many people have a problem using float and when to use it in a program. The arithmetic operations on the floating values can also be performed easily and correctly after converting the input to float type. TypeError: unsupported operand type(s) for -: 'str' and 'str' Therefore, operation a-b gives an error stating that the - operation can not be performed on string variables. However, the user’s two input numbers are not explicitly converted to the float type. In this next example, we try to subtract the two numbers. Now let us perform some arithmetic operations on the float data types. Let us see the example to convert the value to the float type using the float() function. Therefore, we convert the input to the float data type to avoid these irregularities. For example, adding two input values that are not converted to float types will give the concatenation of the two values instead of the addition operation that we wanted. This mismatch of data types causes irregularities in the arithmetic operations. In the above example, when we are taking our input from the user and the user inputs a floating value, we can see that the type of this floating value is still a string. The same problems that we discussed in the integer data type while taking input from the user go here as well. We use the float() function to convert a number to its float representation. We can also represent a floating-point number in a scientific notation using the letter e or E, and the number written after e will represent the power of 10. In python, floating-point values are represented using 64-bit double-precision values. The numbers with a decimal point are divided into an integer and a fractional part, making them a floating-point number when combined. Float Data Type in Pythonįloat data types in Python represent real numbers with a decimal or a fractional part. In this last example, after taking a and b as input from the user and converting both of the values 2 and 3 to the int type, they are properly added and give proper desired results. Therefore, the values 2 and 3 are concatenated instead of adding up since the string types use the + operator to concatenate two strings. In the above example, the two values that have been taken as input are not converted to an int type. The need for converting these values to their actual data types comes in whenever we have to perform certain arithmetic operations on them. ![]() ![]() In this next example, we have converted the input to integer type using the int() function. The code’s output below shows that the variable b type is str, a string, but the value kept in it is an integer. ![]() We must explicitly convert the type while taking input from the user, for which we utilize the int() function to transform the input to an integer. Using the type() function, we can check the type of any variable, like in the following example. All these integer variables are an object of the integer class. Integers can be represented in binary, octal, and hexadecimal format. We can say that integers are whole numbers that do not have a fractional part and have unlimited precision. ![]() Integer Data Type in PythonĪn integer is a number that does not have any fractional parts that can be positive, negative, or zero. In Python Programming, we use the type() function to determine the type of a particular variable. Both integer and floating numbers are immutable data types which means changing the value of these numeric data types results in creating a newly allocated object. Python’s int, float, and complex classes define the data types. The integer, floating, and complex values come under the category of Numeric data types. However, the compiler will only interpret it as a string unless we convert the input to other data types. In those cases, we need to explicitly convert the input from the user’s end to an integer or float type, whichever we need. We may require an integer, a floating-point number, also. Since Python is a dynamically typed language, whenever it takes input from the user, it takes everything as a string data type: a sequence of characters.īut it is not always the case for taking a string as an input. Float vs Integer Data Type in PythonĪ variable holds data, and every data or value has a type associated with it. However, this article will majorly cover the integer and float types. We have a lot of data types in Python Programming, such as int, float, List, Tuple, and many more. Data types represent the type of data that determines what kind of operations we can perform on the data.
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