In this article, we will learn how to print a numpy.array without scientific notation.

**Table Of Contents**

## What is scientific notation?

Scientific notation is a format of displaying very large or very small numbers. NumPy uses this scientific notation intead of actual number while printing.

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**For very small numbers,**

0.000000321 is represented as 3.21 X 10^-7 In python scientific notation it is represented as 3.21e-07

**For Large numbers,**

### Frequently Asked:

123456789.1 is represented as 1.23456789 X 10^8 In python scientific notation it is represented as 1.23456789e+08

Given a NumPy array we need to print the array without scientific notation.

There are multiple ways to print the array without scientific notation. Lets discuss all the methods one by one with proper approach and a working code example.

## 1. Using set_printoptions() function and supress argument.

The numpy module has a set_printoptions() function. The set_printoptions() function is used to set how the arrays, floating-point numbers, NumPy objects are to be displayed. By default if the numbers are very big or very small then the array will be represented using the scientific notation. Now by using passing the **supress** as True, we can remove the scientific notation and print the array.

**Syntax of set_printoptions() function**

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numpy.set_printoptions(Supress = True)

- Parameters:
- suppress : bool, optional
- If True, always print the floating point numbers using fixed point notation. So, numbers equal to zero in the current precision will be printed as zero. If False, then the scientific notation is used when absolute value of the smallest number is < 1e-4 or the ratio of the maximum absolute value to the minimum is > 1e3. The default is False.

- suppress : bool, optional
- Returns:
- None.

**Approach:**

- Import numpy library and create numpy array.
- Pass the supress value as True to the set_printoptions() method.
- Print the Array, The entire array will be displayed without scientific notation.

**Source Code**

import numpy as np # creating a numpy array arr = np.array([1, 2, 3, 4, 5, 1000.1]) print("Array with scientific notation", arr) # Removing the scientific notation np.set_printoptions(suppress=True) print("Array without scientific notation", arr)

**Output:**

Array with scientific notation [1.0000e+00 2.0000e+00 3.0000e+00 4.0000e+00 5.0000e+00 1.0001e+03] Array without scientific notation [ 1. 2. 3. 4. 5. 1000.1]

## 2. Using printoptions() function and supress argument.

The numpy module has a printoptions() function, and it is used to set how the arrays, floating-point numbers, NumPy objects are to be displayed. By default if the numbers are very big or very small then the array will be represented using the scientific notation. Now by using passing the **supress** as True in the printoptions(), we can remove the scientific notation and print the array.

**Syntax of printoptions() function**

numpy.printoptions(Supress = True)

**Parameters**:- suppress : bool, optional
- If True, always print floating point numbers using fixed point notation, in which case numbers equal to zero in the current precision will print as zero. If False, then scientific notation is used when absolute value of the smallest number is < 1e-4 or the ratio of the maximum absolute value to the minimum is > 1e3. The default is False.

- suppress : bool, optional
**Returns**:- None.

**Approach:**

- Import numpy library and create numpy array.
- Pass the supress value as True to the printoptions() method.
- Print the Array, The entire array will be displayed without scientific notation.

**Source Code**

import numpy as np # Creating a numpy array arr = np.array([1,2,3,4,5,1000.1]) print("Array with scientific notation", arr) # Removing the scientific notation np.printoptions(suppress=True) print("Array without scientific notation", arr)

**Output:**

Array with scientific notation [1.0000e+00 2.0000e+00 3.0000e+00 4.0000e+00 5.0000e+00 1.0001e+03] Array without scientific notation [ 1. 2. 3. 4. 5. 1000.1]

## 3. Using set_printoptions() function and formatter argument.

The numpy module has a set_printoptions() function, and it is used to set how the arrays, floating-point numbers, NumPy objects are to be displayed. By default if the numbers are very big or very small then the array will be represented using the scientific notation. Using set_printoptions() we can surpress the scientific notation.

**Syntax of set_printoptions() function**

numpy.set_printoptions(formatter = dict)

- Parameters:
- formatter : the keys in the dictionary should indicate the type that the respective formatting function applies to.

- Returns:
- None.

**Examples**

np.set_printoptions( formatter = {'all':lambda x: str(x)} )

This will change all types of elements into string. Here callable is the lamba function.

np.set_printoptions( formatter={'int_kind':lambda x: str(x)} )

This will change int types of elements into string. Here callable is the lamba function.

**Approach:**

- Import numpy library and create numpy array.
- Pass the formatter to the set_printoptions() method.
- Print the Array, The entire array will be displayed without scientific notation.

**Source Code**

import numpy as np # creating a numpy array arr = np.array([1,2,3,4,5,1000.1]) print("Array with scientific notation",arr) # Removing the scientific notation np.set_printoptions(formatter={'all':lambda x: str(x)}) print("Array without scientific notation",arr)

**Output:**

Array with scientific notation [1.0000e+00 2.0000e+00 3.0000e+00 4.0000e+00 5.0000e+00 1.0001e+03] Array without scientific notation [ 1. 2. 3. 4. 5. 1000.1]

For the above method, what if we mention a type that the elements in the array does not belong to. In that case, it will not format those elements.

import numpy as np # creating a numpy array arr = np.array([1,2,3,4,5,1000.1]) print("Array with scientific notation",arr) # Removing the scientific notation np.set_printoptions(formatter={'bool':lambda x: str(x)}) print("result =",arr)

**Output:**

Array with scientific notation [1.0000e+00 2.0000e+00 3.0000e+00 4.0000e+00 5.0000e+00 1.0001e+03] result = [1.0000e+00 2.0000e+00 3.0000e+00 4.0000e+00 5.0000e+00 1.0001e+03]

## 4. Using array2string() function and suppress_small argument.

The numpy module has a array2string() function, and it returns a string representation of an array.

**Syntax of array2string() function**

numpy.array2string(arr, suppress_small)

- Parameters:
- arr = The input array
- suppress_small = bool, optional. Represent numbers “very close” to zero as zero; default is False.

- Returns:
- It Returns a string representation of an array.

**Approach:**

- Import numpy library and create numpy array.
- Pass the array, suppress_small=True to the array2string() method.
- Print the Array, The entire array will be displayed without scientific notation.

**Source Code**

import numpy as np import sys # Creating a numpy array arr = np.array([1,2,3,4,5,1000.1]) print("Array with scientific notation", arr) # Removing the scientific notation arr = np.array2string(arr, suppress_small=True) print("Array without scientific notation", arr)

**Output:**

## Summary

Great! you made it. We have discussed all possible methods to print a numpy.array without scientific notation. Happy learning.

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