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# Return evenly spaced values within a given interval and step size in Numpy

Create an array with int elements using the **numpy.arange()** method. The 1st parameter is the "**start**" i.e. the start of the interval. The 2nd parameter is the "**end**" i.e. the end of the interval. The
3rd parameter is the step size i.e. the spacing between values. The default step size is 2 here.

Values are generated within the half-open interval [start, stop). For integer arguments the function is equivalent to the Python built-in range function, but returns an ndarray rather than a list.

The stop is the end of interval. The interval does not include this value, except in some cases where step is not an integer and floating point round-off affects the length of out. The step is the spacing between values. For any output out, this is the distance between two adjacent values, out[i+1] - out[i]. The default step size is 1. If step is specified as a position argument, start must also be given.

## Steps

At first, import the required library −

import numpy as np

Creating an array with int elements using the numpy.arange() method. We have set the step size to 2 here −

arr = np.arange(15, 30, step = 2) print("Array...

", arr)

Get the type of the array −

print("

Array type...

", arr.dtype)

Get the dimensions of the Array: −

print("

Array Dimensions...

",arr.ndim)

Get the shape of the array −

print("

Our Array Shape...

",arr.shape)

Get the number of elements of the Array −

print("

Number of elements in the Array...

",arr.size)

## Example

import numpy as np # Creating an array with int elements using the numpy.arange() method # The 1st parameter is the "start" i.e. the start of the interval # The 2nd parameter is the "end" i.e. the end of the interval # The 3rd parameter is step size i.e. the spacing between values. The default step size is 1 # We have set the step size to 2 here arr = np.arange(15, 30, step = 2) print("Array...

", arr) # Get the array type print("

Array type...

", arr.dtype) # Get the dimensions of the Array print("

Array Dimensions...

",arr.ndim) # Get the shape of the Array print("

Our Array Shape...

",arr.shape) # Get the number of elements of the Array print("

Number of elements in the Array...

",arr.size)

## Output

Array... [15 17 19 21 23 25 27 29] Array type... int64 Array Dimensions... 1 Our Array Shape... (8,) Number of elements in the Array... 8

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