Python Scientific Notation With Suppressing And Conversion

Python Scientific notation is a way of writing a large or a small number in terms of powers of 10. To write a number in scientific notation the number is between 1 and 10 is multiplied by a power of 10 (a * 10^b). This method can be used to initialize a number in a small format.

For example, you want to initialize a variable to 0.0000008, you can directly write 8.0e-10. This way python can recognize this number as 8.0*10^(-10).

Types of Numbers in Python

There are 4 types of numbers in python programming:

  • Integers (int)
  • Floating points/ Real numbers (float)
  • Boolean (bool)
  • A complex number (j)

In python, we can represent the floating-point numbers with the help of scientific notation. Scientific notation comes very much handy when we need to write very small or large numbers.

Python has a defined syntax for representing a scientific notation.

So, let us take a number of 0.000001234 then to represent it in a scientific form we write it as 1.234 X 10^-6. For writing it in python’s scientific form we write it as 1.234E-6. Here the letter E is the exponent symbol. We can write e or E, as it is not case sensitive.

Syntax of Scientific Notation

AE^B or Ae^B

Parameters of Scientific Notation in Python

A is a number greater than 0 and less than 10, and B is any Integer.

How to Print a Number in Scientific Notation in Python

To print a number in scientific notation in Python, we use str.format() to print a number in its scientific form in python.

Example 1: To Print or Format Scientific Notation in Python

To print 0.0000001234 we write the code:




Here the {:e} in the string is the key point to represent a float value in Scientific Notation while printing the number.

Example 2: To Print Scientific Notation in Python

To print 12340000 in scientific notation:




This example demonstrates how to print integer values to scientific notations.

Example 3: To Remove Zeros After Decimal

To remove the 0s after decimal use the following form:




How to Suppress Scientific Notations in Python

Python automatically represents small floating-point values in scientific notation. By suppressing the scientific notation we are basically representing these numbers in a full decimal format which also means that it will take a lot more space to store the value. For example, let the scientific format of a number be 1.23e+5 so its decimal format will be 123000 which means it will now be taking 6 places to be represented.

Examples to suppress scientific notation?

To do so we use the syntax f”{}” to represent number ‘num’ in the decimal format up to n decimal places.

Example 1: Supressing Scientific Notation




Example 2: Supressing Scientific Noation




In another way to suppress scientific notation, we use the syntax

str.format(num) with str as “{}”.

Example 1:




Example 2:




How to Convert Scientific Notation to Floating-point or Decimal Number

In the previous section, we’ve checked that how we can use decimal to scientific notation. In this section, we’ll see the reverse of this process.

To convert scientific notation into a floating-point number in python, the float number can be rounded with the format and then can be used on a string in order to return the rounded float value.


Float(“number in scientific notation”)


float(“{}”.format(float(“number in scientific notation”)))

Examples to Convert Scientific Notation to Floating-point Number:




Example 2:




Converting Scientific Notation to Matrix

To convert a scientific notation to matrix we can use the given syntax:

list1.append(np.array(regr.predict(data),dtype = np.float))



How to Remove Scientific Notations from Graphs

In order to disable both the offset and the scientific notations from a graph using the syntax:

ax.ticklabel_format(useOffset=False, style=’plain’)

How to suppress scientific notation when printing float values?

There is a simple technique to suppress scientific notation when using float values by using the %f flag in string. This will convert the number into a floating-point number and then print it. Note that this method has a precision of 10^-6 only. If you’ll print a value less than this number, it’ll print 0.000000 instead.


'%f' % (1/100)



How to Convert Integer To Scientific Notation Python

Integer can be converted to scientific notation with the help of {:e} flag with the help of the format method of string. {:e} converts a number both integer or float to scientific notations. Moreover, you can use the {:.Ne} format to limit the number of decimal digits in scientific notation.






In the first case, the scientific notation uses the default limit of decimals in converting the integer.

In the second case, the scientific notation limits the decimal counts to 3 digits only.

Python Scientific Notation in Pandas

Pandas is a software written in python that is used for manipulating and analyzing data. It uses data structures for manipulating the numerical tables.


For creating a data frame in panda with float type numbers, use the following syntax:

df=pd.DataFrame(np.random.random(5)**10, columns=['random'])


By using the above syntax we can create a column containing numbers in scientific notation.

The basic logic behind all this happening is the use of np.random syntax used to generate the numbers. In order to remove the scientific notation while using python pandas, any of the following syntax can be used:

  1. df.round(n)
  2. df.apply(lambda x: ‘’ % x, axis=1)
  3. pd.set_option(‘display.float_format’, lambda x: ‘’ % x)
  4. pd.options.display.float_format= ‘{}’.format

Where n denotes the number of elements.

Python Scientific Notation in Jupyter Notebook

Jupyter notebook is basically a web-based interactive environment that is used for creating the Jupyter Notebook’s documents. Here the term ‘notebook’ depending on the situation indicates Jupyter’s web application, web server, or document format.

You can use Python Scientific Notation in Jupyter Notebook in the same way in a normal python shell. The only difference here will be that you’ll be editing your code in notebook format.

A Jupyter notebook can be transformed into any standard format such as HTML, PDF, LaTeX, or Python.

Matplotlib Plot Python Convert To Scientific Notation

Sometimes, in Matplotlib Graphs the axis’s offsets are shown in the format of scientific notations by default. To remove these notations, you need to change the tick label format from style to plain. This changes the default upper offset number to a nonscientific number.


import matplotlib.pyplot as plt
fig, ax = plt.subplots()


Regex Python Scientific Notation

A regex is a powerful tool that helps you to extract any patterns from the strings. Sometimes, there are scenarios when your text contains numbers in scientific notations and you need to extract them. So what is the best way of extracting them? Regex.

Creating a regex pattern that identifies the format of “{i}e{j}”, where i is the float value or integer and j is the integer to the power of e (Check how to convert int to float). The following pattern will help you to get scientific notations using Regex in Python –


import re

text = "This text contains scientific notation 1.234e-06 "
sci_not = re.compile('[-+]?[\d]+\.?[\d]*[Ee](?:[-+]?[\d]+)?')
print(re.findall(sci_not, text))




Following are the explanations of the above regex pattern –

  • [-+] – Token Matches for either – or +.
  • ? – Matches the previous token between zero and one time.
  • [\d] – Token Matches to a digit
  • \. – Matches for . literally.
  • [Ee] – Token matches for either E or e.

Must Read


Python scientific notation does reading and understanding the numbers very easily. They also make it easier for the user to understand what’s happening. Since there are many ways to go to and fro from scientific notations to decimals, any programmer can use any way to change the notations.

Being a very simple topic, this is a very helpful and many times very handy for the coders.

Still have any doubts or questions do let me know in the comment section below. I will try to help you as soon as possible.

Happy Pythoning!

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