# Return evenly spaced numbers on a geometric progression and set the number of samples to generate in Numpy

NumpyServer Side ProgrammingProgramming

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. Default is 50.

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(100, 200, num = 5)
print("Array...\n", arr)

Get the array type −

print("\nType...\n", arr.dtype)

Get the dimensions of the Array −

print("\nDimensions...\n",arr.ndim)

Get the shape of the Array −

print("\nShape...\n",arr.shape)


Get the number of elements −

print("\nNumber of elements...\n",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.e the number of samples to generate. Default is 50.
arr = np.geomspace(100, 200, num = 5)
print("Array...\n", arr)

# Get the array type
print("\nType...\n", arr.dtype)

# Get the dimensions of the Array
print("\nDimensions...\n",arr.ndim)

# Get the shape of the Array
print("\nShape...\n",arr.shape)

# Get the number of elements
print("\nNumber of elements...\n",arr.size)

## Output

Array...
[100. 118.9207115 141.42135624 168.17928305 200. ]

Type...
float64

Dimensions...
1

Shape...
(5,)

Number of elements...
5
Updated on 16-Feb-2022 10:14:32