- Convert Float to Int in Python
- How to Convert Float to Int in Python?
- What is Float in Python?
- What is int in Python?
- Methods to convert float to int in Python
- Method 1: Conversion using int()
- Method 2: Conversion using math.floor() and math.ceil()
- Method 3: Conversion using round()
- Method 4: Conversion using math.trunc()
- Limitations for Converting Float to Int in Python
- Conclusion
- Convert a Float to an Int in Python
- Introduction:
- Method 1: Type Casting
- Output:
- Method 2: Rounding
- Output:
- Method 3: Truncation
- Output:
- Comparison of Methods:
- Conclusion:
- Related Post
- ABOUT THE AUTHOR
Convert Float to Int in Python
In Python, there are many situations where we have to convert float values to int values. Many approaches can be used for converting float to int values:
- conversion using int() .
- conversion using math.floor() and math.ceil() .
- conversion using round() .
- conversion using math.trunc() .
How to Convert Float to Int in Python?
We can convert a float value to an int using Type conversion in Python. Type Conversion is an explicit way of changing an operand to a certain type. Python comes with a few in-built methods to achieve this.
Displaying a floating value as a number or a percentage is a frequent application for converting a float to an integer. Integer values can be shown as such without affecting the actual data type because they are immutable. So when calculating efficiency, integer values are always preferred over floating-point values.
So for all this process, we use Python inbuilt functions for converting the float value to the integer values, for example int() function, etc.
Example: Let’s take a look at int values in Python
What is Float in Python?
The float type represents the floating point number in Python. A decimal point is used to separate the integer and fractional elements of the word «float,» which denotes real numbers.
Python uses 64-bit double-precision numbers to represent float values. Any floating-point number can have a maximum value of approximately 1.8 x 10^308. The Python string inf will indicate any number bigger than 1.8 x 10^308 . 77.44 , 42.3e19 , and -32.64+e12 are examples of floating point numbers.
Example: Let’s take a look at float values in Python
What is int in Python?
In Python is a whole number having no decimal points. Integer values can be of any size and can be negative or positive. Int Class defines Integer values. As integer does not consist of any decimal points and hence can extend up to the computer’s limit. However, you can subsequently change it. By default, Int is decimal, or base 10, although you can later convert it. Examples of some integer values are 20 , 1 , -10, etc.
Example: Let’s take a look at int value in Python
Methods to convert float to int in Python
For converting float to int in Python, we can use many methods. These methods use type conversion or inbuilt library functions enlisted below:
- conversion using int()
- conversion using math.floor() and math.ceil()
- conversion using round()
- conversion using math.trunc()
Method 1: Conversion using int()
Python has a variety of built-in methods that can make programming easier. One such method is int() , which quickly transforms any data type into an integer. The function trims the values after the decimal points and accepts a float-point variable as an argument. The result is an integer or whole number as the output. Let’s look at the syntax of int() method:
Return Value:
This method returns an integer value .
Example 1: Let’s take an example of how the int() method is used to convert the float value to int value:
Example 2: The int() function typically rounds off the results to the nearest integer before the decimal point. However, there are times when an exception occurs, so we cannot predict or define the behavior in those situations.
Output: It rounded out the value because there is an insignificant difference between 3.99999999999999999 and 4.0 .
Method 2: Conversion using math.floor() and math.ceil()
Use the floor() method and pass the value as the method’s parameter if you want to convert a float value to an int value that is no larger than the input. While using the ceil() method, you can change it to a value greater than the original.
Return Value: This method returns an integer value converting on the fact that ceil() is used or floor() is used.
Let’s take an example of how the floor() and ceil() method is used to convert the float value to int value:
Method 3: Conversion using round()
Using the round() method, a float value can be converted to an int value, which is the closest integer value. When there is an equal difference between smaller and larger values, the larger integer is chosen.
Return Value: This method returns an integer value rounding the given value to the nearest integer.
Let’s take an example of how the round() method is used to convert the float value to int value:
Method 4: Conversion using math.trunc()
Python has a built-in function called trunc() that helps in providing an integer value. The method takes the float-point value and ignores the remainder of the value. Let’s look at the example below to see how the trunc() method is used:
Return Value: This method returns an integer value removing the decimal part of the value.
Let’s take an example of how the trunc() method is used to convert the float value to int value:
Limitations for Converting Float to Int in Python
- Although the int() method can be used for type conversions, it is not advised because there is a chance of data loss.
- To prevent data loss, you can use the math module. If the function is not used properly, data loss does not change.
Conclusion
- Many approaches can be used to convert float to int in Python.
- We can convert a float value to an int using Type conversion.
- The float type represents the floating point number in Python. A decimal point is used to separate the integer and fractional elements of the word «float,» which denotes real numbers.
- In Python, Integer values can be of any size. Int values can be negative or positive. Int Class can define integer values.
- These methods use type conversion or inbuilt library functions enlisted below:
- conversion using int()
- conversion using math.floor() and math.ceil()
- conversion using round()
- conversion using math.trunc()
Convert a Float to an Int in Python
In this blog, we will delve into the concept of converting a float to an integer in Python. We will explore the different ways to perform this conversion, including explicit and implicit methods, and discuss the implications of each approach.
Introduction:
Python is a versatile and dynamic programming language that provides several ways to convert a float to an integer. This conversion can be necessary for various situations, such as when dealing with data analysis, financial calculations, or converting floating-point numbers to integers for display purposes. In Python, floats represent numbers with a decimal point, while ints represent whole numbers without any decimal places. Converting a float to an int can involve rounding, truncation, or typecasting, and the choice of method depends on the desired outcome.
Let’s start by exploring the different methods of converting a float to an int in Python.
Method 1: Type Casting
One of the simplest ways to convert a float to an int in Python is by using type casting. Python provides built-in functions like int() that can be used to explicitly convert a float to an int. The syntax for typecasting is as follows:
integer_value = int(float_value)
where float_value is the float that needs to be converted, and integer_value is the resultant integer after the conversion. Type casting is an explicit method because it explicitly specifies the desired data type for the variable.
Let’s take an example program to illustrate this method:
# Type Casting Example float_num = 3.7 int_num = int(float_num) print("Float Number:", float_num) print("Integer Number:", int_num)
Output:
Float Number: 3.7 Integer Number: 3
In the above example, we have a float number 3.7 , which is converted to an integer using the int() function. The resulting integer is 3 , which is the integer part of the float value.
Method 2: Rounding
Another method to convert a float to an int is by using the rounding function. Python provides a built-in function round() that can be used to round off a float to the nearest integer. The syntax for rounding is as follows:
integer_value = round(float_value)
where float_value is the float that needs to be rounded, and integer_value is the resultant integer after rounding. Rounding is an implicit method because it does not explicitly specify the desired data type for the variable.
Let’s take an example program to illustrate this method:
# Rounding Example float_num = 3.7 int_num = round(float_num) print("Float Number:", float_num) print("Rounded Integer Number:", int_num)
Output:
Float Number: 3.7 Rounded Integer Number: 4
In the above example, we have a float number 3.7 , which is rounded to the nearest integer using the round() function. The resulting integer is 4 , as 3.7 is closer to 4 than to 3 .
Method 3: Truncation
Truncation is a method of converting a float to an int by simply discarding the decimal part of the float value without rounding. Python provides the built-in function int() with an optional argument that can be used to truncate a float to an integer. The syntax for truncation is as follows:
integer_value = int(float_value)
where float_value is the float that needs to be truncated, and integer_value is the resultant integer after truncation. Truncation is an implicit method because it does not explicitly specify the desired data type for the variable.
Let’s take an example program to illustrate this method:
# Truncation Example float_num = 3.7 int_num = int(float_num) print("Float Number:", float_num) print("Truncated Integer Number:", int_num)
Output:
Float Number: 3.7 Truncated Integer Number: 3
In the above example, we have a float number 3.7 , which is truncated to an integer using the int() function. The resulting integer is 3 , as the decimal part .7 is discarded without rounding.
Comparison of Methods:
Now, let’s compare the three methods of converting a float to an int in Python — type casting, rounding, and truncation — based on some key factors:
- Explicitness: Type casting is an explicit method as it explicitly specifies the desired data type for the variable. Rounding and truncation are implicit methods as they do not explicitly specify the desired data type for the variable.
- Rounding Behavior: Type casting does not perform any rounding and simply removes the decimal part, while rounding explicitly rounds off the float to the nearest integer based on the decimal part. Truncation, on the other hand, discards the decimal part without rounding.
- Resulting Value: Type casting and truncation always result in an integer value, while rounding can result in either an integer or a float value depending on the input value and rounding behavior.
- Precision: Type casting and truncation always result in an integer value with no decimal places, while rounding can result in an integer or a float value with one decimal place, depending on the input value and rounding behavior.
- Handling of Negative Values: Type casting, rounding, and truncation behave differently when dealing with negative float values. Type casting and truncation simply remove the decimal part without considering the sign, while rounding rounds off the float to the nearest integer based on the sign and magnitude.
- Use Case: Type casting and truncation are suitable when the goal is to obtain an integer value without rounding, and precision is not a concern. Rounding is suitable when the goal is to round off the float to the nearest integer with a specified rounding behavior.
Conclusion:
In this blog, we explored the different methods of converting a float to an int in Python, including type casting, rounding, and truncation. We discussed the syntax and behavior of each method and provided example programs with outputs and explanations. We also compared the three methods based on key factors such as explicitness, rounding behavior, resulting value, precision, handling of negative values, and use case.
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ABOUT THE AUTHOR
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