What are numeric in python?
Python NumbersThere are three numeric types in Python: Show
Variables of numeric types are created when you assign a value to them: Example x = 1 # int To verify the type of any object in Python, use the IntInt, or integer, is a whole number, positive or negative, without decimals, of unlimited length. ExampleIntegers: x = 1 print(type(x)) Try it Yourself » FloatFloat, or "floating point number" is a number, positive or negative, containing one or more decimals. ExampleFloats: x = 1.10 print(type(x)) Try it Yourself » Float can also be scientific numbers with an "e" to indicate the power of 10. ExampleFloats: x = 35e3 print(type(x)) Try it Yourself » ComplexComplex numbers are written with a "j" as the imaginary part: ExampleComplex: x = 3+5j print(type(x)) Try it Yourself » Type ConversionYou can convert from one type to another with the ExampleConvert from one type to another: x = 1 # int #convert from int to float: #convert from float to int: #convert from int to complex: print(a) print(type(a)) Try it Yourself » Note: You cannot convert complex numbers into another number type. Random NumberPython does not have a ExampleImport the random module, and display a random number between 1 and 9: import random print(random.randrange(1, 10)) Try it Yourself » In our Random Module Reference you will learn more about the Random module. Test Yourself With ExercisesExercise:Insert the correct syntax to convert x into a floating point number. Start the Exercise © Copyright 2001-2022, Python Software Foundation. The Python Software Foundation is a non-profit corporation. Please donate. Last updated on Sep 29, 2022. Found a bug? Number Data Type in PythonPython supports integers, floating-point numbers and complex numbers. They are defined as Integers and floating points are separated by the presence or absence of a decimal point. For instance, 5 is an integer whereas 5.0 is a floating-point number. Complex numbers are written in the form, We
can use the Let's look at an example:
When we run the above program, we get the following output:
While integers can be of any length, a floating-point number is accurate only up to 15 decimal places (the 16th place is inaccurate). The numbers we deal with every day are of the decimal (base 10) number system. But computer programmers (generally embedded programmers) need to work with binary (base 2), hexadecimal (base 16) and octal (base 8) number systems. In Python, we can represent these numbers by appropriately placing a prefix before that number. The following table lists these prefixes.
Here are some examples
When you run the program, the output will be: 107 253 13 Type ConversionWe can convert one type of number into another. This is also known as coercion. Operations like addition, subtraction coerce integer to float implicitly (automatically), if one of the operands is float.
We can see above that 1 (integer) is coerced into 1.0 (float) for addition and the result is also a floating point number. We can also use built-in functions like
When converting from float to integer, the number gets truncated (decimal parts are removed). Python DecimalPython built-in class float performs some calculations that might amaze us. We all know that the sum of 1.1 and 2.2 is 3.3, but Python seems to disagree.
What is going on? It turns out that floating-point numbers are implemented in computer hardware as binary fractions as the computer only understands binary (0 and 1). Due to this reason, most of the decimal fractions we know, cannot be accurately stored in our computer. Let's take an example. We cannot represent the fraction 1/3 as a decimal number. This will give 0.33333333... which is infinitely long, and we can only approximate it. It turns out that the decimal fraction 0.1 will result in an infinitely long binary fraction of 0.000110011001100110011... and our computer only stores a finite number of it. This will only approximate 0.1 but never be equal. Hence, it is the limitation of our computer hardware and not an error in Python.
To overcome this issue, we can use the decimal module that comes with Python. While floating-point numbers have precision up to 15 decimal places, the decimal module has user-settable precision. Let's see the difference:
Output 0.1 0.1000000000000000055511151231257827021181583404541015625 This module is used when we want to carry out decimal calculations as we learned in school. It also preserves significance. We know 25.50 kg is more accurate than 25.5 kg as it has two significant decimal places compared to one.
Output 3.3 3.000 Notice the trailing zeroes in the above example. We might ask, why not
implement When to use Decimal instead of float?We generally use Decimal in the following cases.
Python FractionsPython provides operations involving fractional numbers through its A fraction has a numerator and a denominator, both of which are integers. This module has support for rational number arithmetic. We can create Fraction objects in various ways. Let's have a look at them.
Output 3/2 5 1/3 While creating Fortunately,
Output 2476979795053773/2251799813685248 11/10 This data type supports all basic operations. Here are a few examples.
Output 2/3 6/5 False True Python MathematicsPython offers modules like
Output 3.141592653589793 -1.0 22026.465794806718 3.0 1.1752011936438014 720 Here is the full list of functions and attributes available in the Python math module.
When we run the above program we get the output as follows.(Values may be different due to the random behavior) 18 e ['c', 'e', 'd', 'b', 'a'] 0.5682821194654443 Here is the full list of functions and attributes available in the Python random module. What are 4 different numeric types in Python?Python provides four basic types of numbers: plain integers, long integers, floating point numbers and complex numbers.
What are the two numeric data types in Python?Python Numeric Data Type
int - holds signed integers of non-limited length. long- holds long integers(exists in Python 2.
Is numeric library Python?Numeric is a Python module for high-performance, numeric computing. It provides much of the functionality and performance of commercial numeric software such as Matlab; in some cases, it provides more functionality than commercial software.
Is string a numeric data type in Python?Text data type is known as Strings in Python, or Objects in Pandas. Strings can contain numbers and / or characters. For example, a string might be a word, a sentence, or several sentences.
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