Python NumPy zeros + Examples

In this Python tutorial, we will discuss Python NumPy zeros with a few examples and also we will cover the below points:

  • Python NumPy zeros
  • Python NumPy zeros_like
  • Python NumPy zeros int
  • Python NumPy zeros complex
  • Python NumPy zeros example
  • Python NumPy zeros_like array
  • Python NumPy zeros float
  • Python NumPy zeros 3d
  • Python NumPy zeros column
  • Python Numpy remove zeros from an array
  • Python count zeros in numpy array
  • Python numpy delete zero rows
  • Python add zeros to the numpy array

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

Python NumPy zeros

  • In this section, we will learn about Python numpy zeros.
  • We can create arrays of all zeros using the zeros() function.
  • To use this zeros() function we need to import numpy libraries.
  • We can create an array of desired shapes and types which will be filled with zeros.
  • Now we will discuss the parameters.
    • Shape
    • dtype
    • order
  1. Shape:- You should mention the shape of the array.
  2. dtype:- dtype stands for datatype the default value is float.
  3. order:- This is an optional parameter whether to store multi-dimensional data in row-major.

Syntax:

Here is the syntax of numpy zeros in Python

Zeros(
    shape,
    dtype=int,
    order='C'
    )

Example

Let’s take an example to check how to create a numpy zeros() function.

import numpy as np

b = np.zeros((7,),dtype=int)
print(b)

Here is the Screenshot of following given code.

Python numpy zeros
Python numpy zeros

Read: Python NumPy Array + Examples

Python numpy zeros_like

  • In this section, we will learn about the NumPy zeros_like function in Python.
  • Numpy zeros_like() function takes an array, order, type, shape as arguments and returns the array with values as zeros.
  • In this method, we will see a new order that is ‘K’ match the layout of an array as closely as possible.
  • Now we will discuss the parameters.
    • Shape
    • dtype
    • order
  1. Shape:- You should mention the shape of the array.
  2. dtype:- dtype stands for datatype the default value is float.
  3. order:- This is an optional parameter whether to store multi-dimensional data in row-major.

Syntax:

Here is the syntax of numpy zeros_like

Zeros_like(
          shape=None,
          dtype=None,
          order='K'
         )

Example

Let’s take an example to check how to create a numpy zeros_like() function.

import numpy as np

y = np.arange(4)
y = y.reshape((2, 2))
b = np.zeros_like(y)
print(b)

Here is the Screenshot of following given code.

Python numpy zeros_like
Python numpy zeros_like

Read: Python NumPy Random + Examples

Python numpy zeros int

  • In this section, we will learn Python NumPy zeros int.
  • Numpy zeros function takes an array, order, type, shape as arguments and returns the array with values as zeros.
  • In this method, we will see a new order that is ‘C’ match the layout of an array as closely as possible.
  • The shape of a new array can be int which will represent some elements or can be a tuple of int.
  • It returns out ndarray which means an array of zeros with the given shape, datatype, and order.
  • Now we will discuss the parameters.
    • Shape
    • dtype
    • order
  1. Shape:- You should mention the shape of the array.
  2. dtype:- dtype stands for datatype the default value is float.
  3. order:- This is an optional parameter whether to store multi-dimensional data in row-major.

Syntax:

Here is the syntax of numpy zeros int

Zeros(
    shape,
    dtype=int,
    order='C'
    )

Example:

Let’s take an example to check how to create a numpy zeros int.

import numpy as np

c = np.zeros((5,),dtype=int)
print(c)

Here is the Screenshot of following given code.

Python numpy zeros int
Python numpy zeros int

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

Python numpy zeros complex

  • In this section, we will learn Python NumPy zeros complex.
  • Complex numbers in Python are represented by x+yi where x and y are real numbers, we can convert real numbers into a complex number using the complex function.
  • Numpy zeros function takes an array, order, type, shape as arguments and returns the array with values as zeros.
  • In this method, we will see a new order that is ‘C’ match the layout of an array as closely as possible.
  • It returns out ndarray which means an array of zeros with the given shape, datatype, and order.
  • First, we create a random array and after that, we use the function np. zeros and it takes an argument datatype, shape, and returns the array with values as zeros in complex form.

Syntax:

Here is the syntax of numpy zeros complex

Zeros(
    shape,
    dtype=complex,
    order='C'
    )

Example

Let’s take an example to check how to create a numpy zeros complex.

import numpy as np

b= np.array([[1+2j,3+4j],[6+7j,9+2j]])
b= np.zeros((2,2),dtype=complex)
print(b)

Here is the Screenshot of following given code.

Python numpy zeros complex
Python numpy zeros complex

Python numpy zeros example

  • In this section, we will learn Python numpy zeros examples.
  • We can create arrays of all zeros using the zeros() function.
  • To use this zeros() function we need to import numpy libraries.
  • We can create an array of desired shapes and types which will be filled with zeros.

Syntax:

Here is the syntax of numpy zeros

Zeros(
    shape,
    dtype=int,
    order='C'
    )

Example

import numpy as np

b = np.zeros((5),dtype=float)
print(b)#zeros in decimal form

c = np.zeros((2,2),dtype=int)
print(c)#zeros 2d matrix form

d = np.zeros((3,3),dtype=float)
print(d)#zeros 3d matrix form

Here is the screenshot of following given code

Python numpy zeros example
Python numpy zeros example

Python numpy zeros_like array

  • In this section, we will learn about the Python NumPy zeros_like array.
  • Numpy zeros_like() function takes an array, order, type, shape as arguments and returns the array with values as zeros.
  • In this method, we will see a new order that is ‘K’ match the layout of an array as closely as possible.
  • Now we will discuss the parameters.
    • Shape
    • dtype
    • order
  1. Shape:- You should mention the shape of the array.
  2. dtype:- dtype stands for datatype the default value is float.
  3. order:- This is an optional parameter whether to store multi-dimensional data in row-major.

Syntax:

Here is the syntax of numpy zeros_like

Zeros_like(
          shape=None,
          dtype=None,
          order='K'
         )

Example

Let’s take an example to check how to create a numpy zeros_like() function.

import numpy as np

y = np.arange((10))
y = y.reshape((5, 2))
b = np.zeros_like(y)
print(b)

Here is the screenshot of following given code.

Python numpy zeros_like array
Python numpy zeros_like array

Python numpy zeros float

  • In this section, we will learn about the NumPy zeros float in Python.
  • Returns a float value from the given input, it returns a decimal value.
  • Numpy zeros function takes an array, order, type, shape as arguments and returns the array with values as zeros.
  • Numpy zeros float returns a decimal zeros value.
  • In this method, we will see a new order that is ‘C’ match the layout of an array as closely as possible.

Syntax:

Here is the syntax of numpy zeros float

Zeros(
    shape,
    dtype=float,
    order='C'
    )

Example

Let’s take an example to check numpy zeros float

import numpy as np

c = np.zeros((4),dtype=float)
print(c)

Here is the Screenshot of following given code

Python numpy zeros float
Python numpy zeros float

Python numpy zeros 3d

  • In this section, we will learn about NumPy zeros 3d in Python.
  • When we were using our reshaping and giving it three integers so 3d is used to it just reshapes.
  • Numpy zeros function takes an array, order, type, shape as arguments and returns the array with values as zeros.
  • In this method, we will see a new order that is ‘K’ match the layout of an array as closely as possible.

Example

Let’s take an example to check Python numpy zeros 3d

import numpy as np

y = np.arange(10)

a = np.zeros(shape=(3,2,1))
print(a)

Here is the Screenshot of following given code

Python numpy zeros 3d
Python numpy zeros 3d

Python numpy zeros column

  • In this section, we will learn about the NumPy zeros column in Python.
  • Numpy zeros function takes an array, order, type, shape as arguments and returns the array with values as zeros.

Syntax:

Here is the syntax of numpy zeros column

Zeros(
    shape,
    dtype=int,
    order='C'
    )

Example

import numpy as np

y = np.arange(10)
a = np.zeros(shape=(3,1),dtype = int)
print(a)

Here is the Screenshot of following code

Python numpy zeros column
Python numpy zeros column

This is an example of Python numpy zeros column.

Python Numpy remove zeros from an array

  • In this section, we will learn about how to remove zeros from an array.
  • To use this zeros() function we need to import numpy libraries.
  • numpy.trim_zeros function is used to remove the zeros from the given array.

Syntax:

Here is the syntax of numpy trim_zeros function

numpy.trim_zeros(arr,trim)

Example

Let’s take an example to check how to remove the zeros from the given array

import numpy as np

arr = np.array([0,0,0,1,2,3,4,9,0,0])
new_arr = np.trim_zeros(arr)
print(new_arr)

Here is the screenshot of following given code

Python numpy remove zeros from an array
Python numpy remove zeros from an array

This is how to remove zeros from an array in NumPy Python.

Python count zeros in NumPy array

  • In this section, we will learn about how to count zeros in a numpy array.
  • To use this zeros() function we need to import numpy libraries.
  • To count zeros in a numpy array we can easily use the function count_zeros.
  • It returns the count of zeros present in the given array.

Example

Let’s take an example to check count zeros in numpy array.

import numpy as np
arr = [0,1,0,2,0,6,0,4,0,0,0]
def count_zeros(num):
    return str(num).count('0')
b = count_zeros(arr)
print(b)

Here is the Screenshot of following given code

Python count zeros in numpy array
Python count zeros in numpy array

The above code we can use to count zeros in numpy array in Python.

Python NumPy delete zero rows

  • In this section, we will learn about how to delete zeros rows.
  • To delete zeros rows from a given array we can easily use the delete() function.
  • Numpy library provides a method to delete elements from a NumPy array.

Syntax:

Here is the syntax of delete zeros rows

numpy.delete
            (
            array,
            object,
            axis
           )

Example

Let’s take an example to check how to delete zeros rows

import numpy as np

arr = np.array ([[5,6,7,8],[0,0,0,0],[9,2,5,6]])
new_arr = np.delete(arr, 1, axis=0)
print(new_arr)

Here is the Screenshot of following given code

Python numpy delete zero rows
Python numpy delete zero rows

This is how to delete zero rows in Python NumPy.

Python add zeros to the NumPy array

  • In this section, we will learn about how to add zeros to the numpy array.
  • To add zeros to the numpy array we can easily use the function np.shape() and np.zeros().
  • Numpy zeros function takes an array, order, type, shape as arguments and returns the array with values as zeros.

Example

Let’s take an example to check how to add zeros to the numpy array

import numpy as np

arr = np.array([[3, 6], [9, 2]])
b = np.shape(arr)
add_array = np.zeros((3, 3))
add_array[:b[0],:b[1]] = arr # b is a shape variable name
print(add_array)

Here is the Screenshot of following given code

Python add zeros to the numpy array
Python add zeros to the numpy array

The above Python code we can use to add zeros to a numpy array in Python.

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

  • Python numpy zeros
  • Python numpy zeros_like
  • Python numpy zeros int
  • Python numpy zeros complex
  • Python numpy zeros example
  • Python numpy zeros_like array
  • Python numpy zeros float
  • Python numpy zeros 3d
  • Python numpy zeros column
  • Python Numpy remove zeros from an array
  • Python count zeros in numpy array
  • Python numpy delete zero rows
  • Python add zeros to the numpy array