# How to Get Range of Floating Numbers in Python

Muhammad Waiz Khan Feb 02, 2024

In this tutorial, we will look into various methods to get a sequence of float values in Python. Suppose we need a series of numbers with a step size of `0.1`, but the problem is that the `range()` function does not accept a float as input and returns a `TypeError` instead.

We can generate a sequence of float values with a uniform step size in Python using the methods explained below.

## Get Range of Floating-Point Numbers Using the `numpy.arange()` Method in Python

The `numpy.arange(start, stop, step)` method returns a sequence of values within `start` and `stop` values with the step size equal to the `step` value. The default value of the `start` and `step` arguments are 0 and 1, respectively.

The advantage of using the `numpy.arange()` method is that it can generate the range of the float values. But it is not a default function of Python, and the `NumPy` library is needed to use it.

The below example code demonstrates how to use the `numpy.arange()` method to get the sequence of values from `0` to `1` with the step size equal to `0.1`.

``````import numpy as np

seq = np.arange(0, 1, 0.1)
print(seq)
``````

Output:

``````[0.  0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9]
``````

## Get Range of Floating-Point Numbers Using the List Comprehension in Python

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.

Since the `range()` method can only generate the sequence of integers, we will have to multiply or divide each value of the sequence by the required float value to get the desired sequence. Since multiplying an integer, i.e., `3` with the float value `0.1` returns `0.30000000000000004`, that is why dividing the integer with `10` must be preferred to generate the sequence of float values.

The below example code demonstrates how to get the range or sequence of float values in Python using the list comprehension method.

``````seq = [x / 10 for x in range(0, 10)]
print(seq)
``````

Output:

``````[0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]
``````

## Get Range of Floating-Point Numbers Using the Generator Comprehension in Python

Generator comprehension is a syntactic approach similar to list comprehension that creates an iterable generator object in Python. We can access the new value from the generator by using the `next()` method or iterate through the whole sequence using the `for` loop.

The below example code demonstrates how to use the generator comprehension to get the range of floats in Python.

``````seq = (x / 10 for x in range(0, 10))
for x in seq:
print(x, end=" ")
``````

Output:

``````0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9
``````

## Get Range of Floating-Point Numbers Using the Generator Function in Python

Although the generator comprehension is a concise and more straightforward way to get a generator object in Python, the generator function is a reusable and better way to get a range of float values using the `start`, `stop`, and `step` values of our choice.

The below example code demonstrates how to create a generator function using the `yield` keyword, similar to the `range()` function in Python.

``````def myrange(start, stop, step):
while start < stop:
yield start
start = start + step

seq = myrange(0.0, 1.0, 0.1)

for x in seq:
print(x)
``````

## Get Range of Floating-Point Numbers Using the `numpy.linspace()` Method in Python

The `numpy.linspace()` method like the `numpy.arange()` method returns the sequence of values from the `start` value to the `stop` value. Instead of `step` argument, the `numpy.linspace()` method takes `num` argument, which specifies the number of values to generate from `start` to `stop` value.

Therefore we will have to provide the number of values `num` to the `numpy.linspace()` method; the following formula can calculate the value of `num` using `start`, `stop`, and `step` values.

``````num = (stop - start)/step
``````

The below example code demonstrates how to use the `numpy.linspace()` to generate the range of floats from `0` to `1` with the `step` equal to `0.1`. The `num` value for the required sequence will be `(0 - 1)/0.1 = 10`.

``````seq = np.linspace(0, 1, 10, endpoint=0)
print(seq)
``````

Output:

``````array([0. , 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]
``````

The `endpoint` argument specifies whether to include the last value of the sequence or not, as the sequence starts from `0` by default.