Generate random number between 0 and 1 in Python

Generate random number between 0 and 1 in Python

Generating Random numbers is easily achievable in Python, as Python provides the Random module that contains some functions that can be used to generate random numbers as per the programmer’s needs. A Random number does not generate a different number every time we run the code, but it generates a value that cannot be predicted.

This tutorial will demonstrate the different ways available to generate a Random number between 0 and 1 in Python.

Using the random.uniform() function.

The random.uniform() function is perfectly suited to generate a random number between the numbers 0 and 1, as it is utilized to return a random floating-point number between two given numbers specified as the parameters for the function.

This function is contained within the random module of Python that needs to be imported to the Python code first.

The following code uses the random.uniform() function to generate a random floating-point number between 0 and 1 in Python.

The above code provides the following output:

0.7361686989141768

The above code generates a random number in Python using the random.uniform() function. We should also note that as this is a code to generate a random number, the output will vary and be randomized every time the programmer runs the code.

Using the random.random() function

The random.random() function is a function that is specifically designed to return a random number between the numbers 0.0 and 1.0. This function returns a random number in the floating-point data type format. To use this method, we need to first import the random module to the Python code.

The following code uses the random.random() function to generate a random floating-point number between 0 and 1 in Python.

The above code provides the following output:

0.586756366643944

The above code generates a random number in Python using the random.random() function.

Using the random.randint() function

The random.randint() function can be utilized to return a random number within a range that can be specified by the user. This function generates a random number in the integer data type format. Just like the aforementioned functions, the random.randint() function is contained within the random module, which needs to be imported first in order to use this function.

The random.randint() function is said to be an alias for the random.randrange() function. The module contains two parameters, start and stop, which specify the range between which a random number needs to be generated.

The following code uses the random.randint() function to generate a random integer number between 0 and 1 in Python.

The above code provides the following output:

1

Since the random.randint() function returns an integer, the output when this method is used will be either 0 or 1.

Using the numpy.random.random() function

NumPy, which is an abbreviation for Numerical Python, is a library that is mainly utilized to deal with matrices and arrays in Python. The NumPy module contains a random submodule within itself that can be used to create an array of random numbers, the dimensions of the array can be anything the programmer specifies.

When it comes to generating a substantially large amount of numbers, the NumPy module is a little faster than the regular random module.

To successfully implement this method, we will first need to import the numpy module to the Python code.

The following code uses the numpy module to generate a random floating-point number between 0 and 1 in Python.

The above code provides the following output:

0.7013074645350525

Note that the output values may change as it is a program to generate random numbers.

Using the numpy.random.uniform() function

This function is similar to the random.uniform() function contained within the general random module, with the only difference being that the result is returned and stored in a NumPy array.

The following code uses the numpy.random.uniform() function to generate a random floating-point number between 0 and 1 in Python.

The above code provides the following output:

0.34877376373755165

We can also use more functions like numpy.random.randint() or numpy.random.randrange() to implement the process of generating a random number between 0 and 1 in Python. However, similar to the random.randint() function explained above, these two functions provide an integer value, i.e. 0 or 1, which is not exactly what is desired when finding random numbers between 0 and 1.

That’s all

Was this post helpful?


import_contacts

You may also like:

Related Posts

  • 27 December

    Create Array of All NaN Values in Python

    Table of ContentsUsing numpy.empty() FunctionUsing numpy.full() FunctionUsing numpy.tile() FunctionUsing numpy.repeat() FunctionUsing Multiplication of numpy.ones() with nan Using numpy.empty() Function To create an array of all NaN values in Python: Use numpy.empty() to get an array of the given shape. Assign numpy.nan to every array element using the assignment operator (=). [crayon-63da447ed9525805457072/] [crayon-63da447ed952d571190898/] We used numpy.empty() […]

  • 27 December

    Call Function from Another Function in Python

    Table of ContentsCall a Function in PythonCall Function from Another Function in PythonCall a Function from Another Function within the Same/Different Classes Call a Function in Python To call a function in Python: Write a test() function, which prints a message. Call the function defined in the previous step. [crayon-63da447ed9715531850428/] [crayon-63da447ed9719085718760/] To call a function, […]

  • 27 December

    [Fixed] NameError Name ‘unicode’ is Not Defined in Python

    Table of ContentsUse str() MethodUse sys.version_info with strUse six.text_type Use str() Method To resolve the NameError: name 'unicode' is not defined, replace the occurrence of unicode() with str(). This issue occurs because unicode() was renamed to str() in Python 3. [crayon-63da447ed9846202542231/] [crayon-63da447ed9849803725370/] Unicode is a computing industry standard that ensures that text from most of […]

  • 26 December

    Repeat List N Times in Python

    Table of ContentsUsing the * operatorUsing the numpy.repeat() functionUsing the list comprehension techniqueUsing the itertools.repeat() functionConclusion This tutorial will demonstrate how to repeat list n times in Python. Using the * operator To repeat list n times in Python, use the * operator. Star operator(*) is used to multiply list by number e.g. lst*3 and […]

  • 26 December

    Get First Day of Next Month in Python

    Table of ContentsGet First Day of Next Month in PythonUsing the datetime.replace() with datetime.timedelta() functionUsing the calendar.monthrange() functionUsing the dateutil.relativedelta objectConclusion Get First Day of Next Month in Python This tutorial will demonstrate how to get first day of next month in Python. Using the datetime.replace() with datetime.timedelta() function To get first day of next […]

  • 25 December

    Convert String Array to Int Array in Python

    Table of ContentsUsing the for loop with int() functionUsing for loop with eval() functionUsing the map() with list() functionConclusion This tutorial will demonstrate how to convert string array to int array in Python. Using the for loop with int() function To convert string array to int array in Python: Use the for loop to loop […]

Leave a Reply

Your email address will not be published. Required fields are marked *

Subscribe to our newletter

Get quality tutorials to your inbox. Subscribe now.