# Return evenly spaced numbers over a specified interval and set the number of samples to generate in Numpy

NumpyServer Side ProgrammingProgramming

To return evenly spaced numbers over a specified interval, use the numpy.linspace() 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 stop is the end value of the sequence, unless endpoint is set to False. In that case, the sequence consists of all but the last of num + 1 evenly spaced samples, so that stop is excluded. Note that the step size changes when endpoint is False.

The dtype is the type of the output array. If dtype is not given, the data type is inferred from start and stop. The inferred dtype will never be an integer; float is chosen even if the arguments would produce an array of integers. 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

To return evenly spaced numbers over a specified interval, use the numpy.linspace() method in Python Numpy −

arr = np.linspace(100, 200, num = 10)
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 over a specified interval, use the numpy.linspace() 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.linspace(100, 200, num = 10)
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. 111.11111111 122.22222222 133.33333333 144.44444444
155.55555556 166.66666667 177.77777778 188.88888889 200. ]

Type...
float64

Dimensions...
1

Shape...
(10,)

Number of elements...
10
Updated on 08-Feb-2022 07:00:57