It creates an array by using the numbers that are evenly separated on a log scale.
Syntax
snippet
numpy.logspace(start, stop, num, endpoint, base, dtype)
Parameters
It accepts the following parameters.
- start: It represents the starting value of the interval in the base.
- stop:It represents the stopping value of the interval in the base.
- num:The number of values between the range.
- endpoint:It is a boolean type value. It makes the value represented by stop as the last value of the interval.
- base:It represents the base of the log space.
- dtype:It represents the data type of the array items.
Return
An array within the specified range is returned.
Example 1
snippet
import numpy as np
arr = np.logspace(10, 20, num = 5, endpoint = True)
print("The array over the given range is ",arr)Output:
Output
The array over the given range is [1.00000000e+10 3.16227766e+12 1.00000000e+15 3.16227766e+17 1.00000000e+20]
Example 2
snippet
import numpy as np
arr = np.logspace(10, 20, num = 5,base = 2, endpoint = True)
print("The array over the given range is ",arr)Output:
Output
The array over the given range is [1.02400000e+03 5.79261875e+03 3.27680000e+04 1.85363800e+05
1.04857600e+06]
