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NumPy | geomspace method

schedule Aug 12, 2023
Last updated
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Numpy's geomspace(~) method creates a Numpy array with values that follow a geometric sequence.

Parameters

1. start | number

The starting value of the Numpy array.

2. stop | number

The ending value of the Numpy array. This is inclusive.

3. num | int | optional

The number of samples you want to generate. By default, num=50.

4. endpoint | boolean | optional

If set to True, then stop will be the last value of the Numpy array. By default, endpoint=False.

5. dtype | string or type | optional

The desired data type for the Numpy array. This overrides the default behavior of using the same data-type as the source array.

Return value

A Numpy array with values that follow a geometric sequence.

Examples

Basic usage

Starting from a value of 1, and ending with a value of 64, create a Numpy array that follows a geometric sequence with 4 numbers:

np.geomspace(1, 64, num=4) # By default, num=50
array([ 1., 4., 16., 64.])

Notice how the end value (i.e. the second parameter) is inclusive.

Here, the common ratio is 4, so the numbers in the array are generated like so:

1 * 4 = 4
4 * 4 = 16
16 * 4 = 64

Excluding the endpoint

We set endpoint=False, like follows:

np.geomspace(1, 64, 4, endpoint=False)
array([ 1. , 2.82842712, 8. , 22.627417 ])

Explicit typing

We set dtype=float to obtain a Numpy array of type float.

np.geomspace(1, 64, 4, dtype=float)
array([ 1. , 2.82842712, 8. , 22.627417 ])
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Published by Isshin Inada
Edited by 0 others
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