numpy.logspace() in Python
The logspace() function of Python numpy class returns the equal number of spaces over every interval on a log scale.
Syntax
numpy.logspace(start, stop, num=50, endpoint=True, base=10.0, dtype=None, axis=0)
Parameter
start: It represents the start of the interval range.
stop: This parameter represents the end of the interval range.
endpoint: It optional parameter which takes Boolean values. If passed True, the stop is the last sample.
num:This parameter represents the total number no. of samples to generate.
base: It represents the Base of the log scale. It is an optional float parameter, and by default, it is equal to 10.0.
dtype: This parameter represents the type of output array.
Return
This function returns the ‘ndarray’.
Example 1
# Python Programming explaining
# numpy.logspace() function
import numpy as np
# passing base value as 11
print("Matrix:\n",np.logspace(2.0, 3.0, num=5, base = 11))
Output
Matrix:
[ 121. 220.36039471 401.31159963 730.8527479 1331. ]
