Return numbers spaced evenly on a geometric progression in Numpy

To return evenly spaced numbers on a geometric progression, use the numpy.geomspace() method in Python Numpy. The 1st parameter is the "start" i.e. the start of the sequence. The 2nd parameter is the "end" i.e. the end of the sequence. The 3rd parameter is the num i.e. the number of samples to generate.

The start is the starting value of the sequence. The stop if the final value of the sequence, unless endpoint is False. In that case, num + 1 values are spaced over the interval in log-space, of which all but the last (a sequence of length num) are returned. The endpoint, if true, stop is the last sample. Otherwise, it is not included. Default is True.

The axis in the result to store the samples. Relevant only if start or stop are array-like. By default (0), the samples will be along a new axis inserted at the beginning. Use -1 to get an axis at the end.

Steps

At first, import the required library −

import numpy as np

Return evenly spaced numbers on a geometric progression, use the numpy.geomspace() method −

arr = np.geomspace(150, 500)
print("Array...
", arr)

Get the type −

print("
Type...
", arr.dtype)

Get the dimensions −

print("
Dimensions...
",arr.ndim)

Get the shape −

print("
Shape...
",arr.shape)

Get the number of elements −

print("
Number of elements...
",arr.size)

Example

import numpy as np
# To return evenly spaced numbers on a geometric progression, use the numpy.geomspace() method in Python Numpy
# The 1st parameter is the "start" i.e. the start of the sequence
# The 2nd parameter is the "end" i.e. the end of the sequence
# The 3rd parameter is the num i.s the number of samples to generate. Default is 50.
arr = np.geomspace(150, 500)
print("Array...
", arr)

# Get the type
print("
Type...
", arr.dtype)

# Get the dimensions
print("
Dimensions...
",arr.ndim)

# Get the shape
print("
Shape...
",arr.shape)

# Get the number of elements
print("
Number of elements...
",arr.size)

Output

Array...
[150. 153.73128376 157.55538405 161.47460969 165.49132695
169.60796096 173.82699717 178.15098285 182.58252864 187.12431014
191.77906948 196.549617 201.43883296 206.44966927 211.58515126
216.84837953 222.24253178 227.77086478 233.43671631 239.24350717
245.19474326 251.29401769 257.54501294 263.95150311 270.51735616
277.24653628 284.14310628 291.21123 298.4551749 305.87931455
313.48813135 321.28621918 329.2782862 337.46915768 345.86377894
354.46721829 363.28467013 372.32145807 381.58303815 391.07500211
400.80308081 410.77314766 420.99122217 431.46347358 442.19622461
453.19595523 464.46930662 476.02308517 487.86426656 500. ]

Type...
float64

Dimensions...
1

Shape...
(50,)

Number of elements...
50