Python NumPy arange + Examples

In this Python tutorial, we will discuss Python numpy arange and also cover the below points:

  • Python NumPy arange float
  • Python NumPy arange reverse
  • Python NumPy arange round
  • Python NumPy arange vs linspace
  • Python NumPy arange 2d
  • Python NumPy arange reshape
  • Python NumPy arange example
  • Python NumPy arange datetime

Python numpy arange

If you are new to Python NumPy, check out Python Numpy.

  • In this section, we will learn about Python numpy arange.
  • The Numpy arange function generates a NumPy array with evenly spaced values based on the start and stops intervals specified upon declaration.
  • To use the arange function, we will create a new script with the NumPy library imported as np.
  • Next, we will declare a new variable number and set this equal to np. arange().
  • When we print the data type of the variable numbers to the console using the type function, we see its data type is a numpy array.
  • When we only pass in a single argument to the arange function, this value is the end value that is not included in the resulting array.
  • The default range for this function starts at 0 which is included and ends at the value specified as an argument, which is not included.

Syntax:

Here is the syntax of numpy.arange()

numpy.arange(
             [start],
             stop,
             [step],
             dtype=None
            )

Example:

import numpy as np

a = np.arange(2,10)
print(a)

Here is the Screenshot of following given code.

Python numpy arange
Python numpy arange

Read: Python NumPy to list

Python numpy arange float

  • In this section, we will learn about Python numpy arange float.
  • The Numpy arange function generates a NumPy array with evenly spaced values based on the start and stops intervals specified upon declaration.
  • In NumPy arange float, we can easily use the function np.arange to get the range of floating-point numbers.
  • It is a built-in range() function.
  • To use the arange function, we will create a new script with the NumPy library imported as np.

Syntax:

Here is the syntax of numpy arange float

numpy.arange(
             [start],
             stop,
             [step],
             dtype=float
            )
  1. Start: The default value is 0. So this is the optional value if you didn’t define the start value it will take by default value zero.
  2. Stop: It is also a number last of the interval that does not include this value so same to the built-in range functions the stop is not included but in some cases like this special cases it will include that when the step is not an integer value and floating-point round of effect the length of out.
  3. Step: Spacing between values for any output is the distance between two adjacent values.
  4. Dtype: stands for data type the type of the output numpy array if the data type is not given in for the dtype from the other input parameters.
  5. Returns: It will return ndarray.

Example:

import numpy as np

a = np.arange(2,10,2,dtype = "float")
print(a)

Here is the Screenshot of following given code.

Python numpy arange float
Python numpy arange float

Read: Python NumPy Random + Examples

Python numpy arange reverse

  • In this section, we will learn about Python numpy arange reverse.
  • To reverse the number of elements in an array we can easily use the function numpy. flip().
  • The shape of the array is sustained, but the elements are reordered.
  • To use the arange function, we will create a new script with the numpy library imported as np.

Syntax:

Here is the syntax of numpy.flip() function

numpy.flip(
           a,
           axis=None
          )

Example

import numpy as np

a = np.arange(10)
a1= np.flip(a)
print(a1)

Here is the Screenshot of following given code.

Python numpy arange reverse
Python numpy arange reverse

Python numpy arange round

  • In this section, we will learn about Python numpy arange round.
  • numpy.round() is a method that helps the user to rounds a numpy array to the given number of decimals.
  • To use the arange method, we will create a new script with the numpy library.
  • The rounded value is closest to the even value.

Syntax:

Here is the syntax of numpy.round()

numpy.round(
            arr,
            decimals,
            out=None
           )

Example

import numpy as np
a = np.array([0.345, 0.289, 0.221])
b=np.round(a, 1)
print(b)

Here is the Screenshot of following given code

Python numpy arange round
Python numpy arange round

Read: Check if NumPy Array is Empty in Python + Examples

Python numpy arange vs linspace

  • In this section, we will learn about Python NumPy arange vs linspace.
  • numpy.linspace() and numpy.arange() methods are mostly similar because the np.linspace() method also declares an iterable sequence of evenly spaced values within a given interval.
  • It also gives values in the specified given interval and the elements are evenly spaced like numpy.arange() function.
  • The np.linspace() function will return an iterable sequence of evenly spaced values on that specific interval.

Syntax:

np.linspace(
            start,
            stop,
            endpoint=True,
            dtype=None,
            axis=0
            )

Example:

import numpy as np

a = np.arange(2,10,2)
b = np.linspace(0,10,5)
print(a)
print(b)

Here is the Screenshot of the following given code

Python numpy arange vs linspace
Python numpy arange vs linspace

Python numpy arange 2d

  • In this section, we will learn about Python numpy arange 2d.
  • Two Dimensional array means the collection of homogenous data or number in lists of a list. It is also known as a numpy matrix. In a 2Dimension array, you have to use two square brackets that is why it is called lists of lists.
  • In numpy arange 2d, we can easily use a function that is np.reshape().
  • This np.reshape() function gives a new shape and size to a numpy array without changing its data.
  • To use the arange function, we will declare a new script with the numpy library.

Syntax:

Here is the syntax of numpy arange 2d

numpy.arange(
             [start],
             stop,
             [step],
             dtype=None
            )

Example:

import numpy as np

a = np.arange(2,6).reshape(2,2)
print(a)

Here is the Screenshot of following given code.

Python numpy arange 2d
Python numpy arange 2d

Read: Python NumPy zeros + Examples

Python numpy arange reshape

  • In this section, we will learn and discuss Python NumPy arange reshape.
  • By reshaping we can add or delete dimensions or change the number of values in each dimension.
  • To use the numpy.arange() method and numpy.reshape() function we will create a newscript with the NumPy library imported as np.

Syntax:

Here is the syntax of numpy arange reshape

numpy.arange(
             [start],
             stop,
             [step],
             dtype=None
            )
            reshape()

Example:

import numpy as np

b = np.arange(2,8).reshape(3,2)
print(b)

Here is the Screenshot of following given code.

Python numpy arange reshape
Python numpy arange reshape

Python numpy arange example

  • In this section, we will learn about Python numpy arange.
  • Next, we will declare a new variable number and set this equal to np. arange().
  • When we print the data type of the variable numbers to the console using the type function, we see its data type is a numpy array.
  • When we only pass in a single argument to the arange function, this value is the end value that is not included in the resulting array.
  • The default range for this function starts at 0 which is included and ends at the value specified as an argument, which is not included.

Syntax:

Here is the syntax of numpy.arange()

numpy.arange(
             [start],
             stop,
             [step],
             dtype=None
            )

Example:

import numpy as np

a = np.arange(10)
print(a)

b = np.arange(2,20,2)
print(b)

c = np.arange(-5,-1)
print(c)

d = np.arange(0,10,2,dtype = "float")
print(d)

Here is the Screenshot of following code.

Python numpy arange examples
Python numpy arange examples

Python numpy arange datetime

  • In this section, we will learn about Python NumPy arange datetime.
  • The Numpy arange function generates a NumPy array with evenly spaced values based on the start and stops intervals specified upon declaration.
  • The datetime type works with many common NumPy, for example, arange can be used to generate a range of date functions.
  • To use the arange function, we will create a new script with the NumPy library imported as np.

Example:

import numpy as np

a = np.arange('2009-02', '2009-03', dtype='datetime64[D]')
print(a)

Here is the Screenshot of following given code

Python numpy arange datetime
Python numpy arange datetime

You may like the following Python tutorials:

In this Python tutorial, we will discuss Python numpy arange and also cover the below examples:

  • Python NumPy arange float
  • Python NumPy arange reverse
  • Python NumPy arange round
  • Python NumPy arange vs linspace
  • Python NumPy arange 2d
  • Python NumPy arange reshape
  • Python NumPy arange example
  • Python NumPy arange datetime