PYnative
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Python range of float numbers
April 13, 2021 - ... Import numpy module using the import numpy as np statement. ... Pass float numbers to its start, stop, and step argument. For example, np.arange(0.5, 6.5, 1.5) will return the sequence of floating-point numbers starting from 0.5 up to 6.5.
Finxter
blog.finxter.com › 5-best-ways-to-generate-list-of-floats-in-python
5 Best Ways to Generate List of Floats in Python – Be on the Right Side of Change
The call to list() then converts the generator expression’s output into a list. This method is highly efficient for large ranges as it doesn’t store the entire list in memory. itertools includes the functions islice() and count() which can be combined to efficiently generate sequences of ...
Delft Stack
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How to Get Range of Floating Numbers in Python | Delft Stack
February 2, 2024 - List comprehension is the syntactic method to create a new list from an existing list in Python. We can generate the range or sequence of float values by creating a new list from the sequence of values returned by the range() method.
PyTutorial
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PyTutorial | Python Range with Float: Generate Sequences
March 30, 2026 - You can create a float sequence without external libraries. Use a list comprehension with a calculated step. This method gives you a standard Python list. start = 1.0 stop = 3.0 step = 0.25 # Calculate number of steps and generate list num_steps ...
PyTutorial
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PyTutorial | Python Range Float: How to Generate Sequences
March 30, 2026 - For a deep dive into its exclusive stop behavior, see our guide on Is Python Range Inclusive? Stop Value Explained. This integer-only rule is non-negotiable. It is a core part of the function's contract. This ensures predictable and fast performance in loops. The simplest alternative is a list comprehension. You can use the integer range() to control iterations. Then, calculate the float value inside the loop. This gives you full control over the step size. # Generate a sequence from 0.0 to 2.0 in steps of 0.2 step = 0.2 num_steps = int((2.0 - 0.0) / step) + 1 # Calculate number of items float_sequence = [0.0 + i * step for i in range(num_steps)] print(float_sequence)
TutorialKart
tutorialkart.com › python › python-range › python-range-float
Python Range with Floating Point Numbers
January 17, 2021 - Also, there is a function in numpy() library, arange() function, that can generate a sequence of floating point numbers.
Iditect
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Python range() for floats
The built-in range() function in Python is designed for working with integers, and it doesn't support floating-point values directly. However, you can create your own generator function to generate a sequence of floating-point numbers within a specified range.
TechBeamers
techbeamers.com › python-float-range
Generate Floating Point Range in Python - TechBeamers
November 30, 2025 - However, all arguments are of integer type. If you pass a float, it results in a TypeError. start = 1 stop = 6.7 step = 0.1 for value in range(start, stop, step): print (value) When you run the above code, it throws the following error: TypeError: 'float' object cannot be interpreted as an integer · The above example suggests that Python doesn’t give any built-in way to generate a floating point range.
AdamSmith.haus
adamsmith.haus › python › answers › how-to-generate-a-range-of-floats-in-python
How to generate a range of Floats in Python - Adam Smith
Python answers, examples, and documentation
Learn By Example
learnbyexample.org › how-to-generate-a-range-of-floating-point-numbers-in-python
How to Generate a Range of Floating-point Numbers in Python - Learn By Example
April 18, 2024 - Generators are particularly useful for dealing with large datasets or potentially infinite sequences. Instead of computing and storing all values in memory at once, a generator produces them one at a time as needed. This ‘on-demand’ approach is extremely useful when handling large datasets or complex iterations, as it drastically reduces memory overhead. If you prefer a more concise approach and need to generate a list, you can use a list comprehension: def float_range(start, stop, step): return [round(start + i * step, 10) for i in range(int((stop - start) / step))] print(float_range(0.0, 1.0, 0.2)) # Output: [0.0, 0.2, 0.4, 0.6, 0.8]
Python documentation
docs.python.org › 3 › library › random.html
random — Generate pseudo-random numbers
If a new seeding method is added, then a backward compatible seeder will be offered. The generator’s random() method will continue to produce the same sequence when the compatible seeder is given the same seed.
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Finxter
blog.finxter.com › home › learn python blog › 5 best ways to generate a python list of random floats in range
5 Best Ways to Generate a Python List of Random Floats in Range - Be on the Right Side of Change
February 24, 2024 - The random.uniform(a, b) function from Python’s standard library module random generates a random float N such that a <= N <= b. Utilizing a list comprehension combines this function call with the ability to create a list of any size.
Its Linux FOSS
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Python Range of Float Numbers – Its Linux FOSS
February 19, 2023 - The “range()” function is used in Python to generate the sequence of numbers. But the simple “range()” function will return an error when the float value is passed to it, so we explained several other ...
ItSolutionstuff
itsolutionstuff.com › post › python-generate-list-of-random-float-numbers-exampleexample.html
Python Generate List of Random Float Numbers Example - ItSolutionstuff.com
October 30, 2023 - import random import numpy as np low = 0.2 high = 2.9 # Python Generate List of Random Float Numbers Example floatList = [random.uniform(low, high) for _ in range(5)] print(floatList)
PyTutorial
pytutorial.com › python-range-function-generate-number-sequences
PyTutorial | Python Range Function: Generate Number Sequences
March 30, 2026 - The range() function is a built-in Python tool. It generates a sequence of numbers.
Codingem
codingem.com › home › range of floats in python: a step-by-step guide (3 ways to do it)
Range of Floats in Python: A Step-by-Step Guide (3 Ways to Do It)
November 1, 2022 - To create a range of floats in Python, use a list comprehension. For example: [(x/10) for x in range(0, 5)] returns [0.0, 0.1, 0.2, 0.3, 0.4]
Finxter
blog.finxter.com › 5-best-ways-to-create-a-set-of-floats-from-1-to-n-in-python
5 Best Ways to Create a Set of Floats from 1 to n in Python – Be on the Right Side of Change
February 25, 2024 - Using the itertools.chain function is a more advanced, yet concise, way to create a set of floats. This method can be particularly efficient when combining multiple iterators into a single sequence of floats before creating a set.
Top answer 1 of 3
2
In [1]: import numpy as np
In [2]: np.repeat(1 / 10**np.arange(1, 5), 2)[1:] * np.array([1., 5.]*4)[:-1]
Out[2]: array([0.1 , 0.05 , 0.01 , 0.005 , 0.001 , 0.0005, 0.0001])
Generalizing for any "pattern":
def rates(smallest_magnitude, pattern):
n = len(pattern)
pows = np.repeat(1 / 10**np.arange(1, smallest_magnitude), n)[(n-1):]
mults = np.array(pattern * (smallest_magnitude - 1))[:-(n-1)]
return np.round(pows * mults, smallest_magnitude)
Demo:
In [4]: print(*rates(5, [1, 5])) # Your original 'pattern'
0.1 0.05 0.01 0.005 0.001 0.0005 0.0001
In [5]: print(*rates(5, [2, 4, 8]))
0.2 0.04 0.08 0.02 0.004 0.008 0.002 0.0004 0.0008 0.0002
In [6]: print(*rates(5, [3, 5, 7, 9]))
0.3 0.05 0.07 0.09 0.03 0.005 0.007 0.009 0.003 0.0005 0.0007 0.0009 0.0003
2 of 3
2
This works, but I'm not sure it's any better than your method.
import numpy as np
# Create the powers of ten:
a = 0.1 ** np.arange(1,6)
# Interleave the halves in between:
a = np.concatenate((a,a/2))
# Sort and reverse:
a.sort()
a = a[-1::-1]
print(a)
GeeksforGeeks
geeksforgeeks.org › python › python-range-for-float-numbers
Python - range() for Float Numbers - GeeksforGeeks
July 23, 2025 - We created a function float_range() that yields values from start to stop with a step size of 0.5. It behaves like a generator and allows us to loop through float numbers.