## How do I suppress scientific notation in Python?

Here's my code:

x = 1.0 y = 100000.0 print x/y

My quotient displays as `1.00000e-05`

Is there any way to suppress scientific notation and make it display as
`0.00001`

? I'm going to use the result as a string.

'%f' % (x/y)

but you need to manage precision yourself. e.g.,

'%f' % (1/10**8)

will display zeros only. details are in the docs

Or for Python 3 the equivalent old formatting or the newer style formatting

**How do I suppress scientific notation in Python?,** '%f' % (x/y). but you need to manage precision yourself. e.g., '%f' % (1/10**8). will display zeros only. details are in the docs. Or for Python 3 the Four easy ways to suppress scientific notation in Python Pandas with detailed instructions and two ways of reverting back your global changes. Scientific notation isn't helpful when you are trying to make quick comparisons across your DataFrame, and when your values are not that long.

Using the newer version `''.format`

(also remember to specify how many digit after the `.`

you wish to display, this depends on how small is the floating number). See this example:

>>> a = -7.1855143557448603e-17 >>> '{:f}'.format(a) '-0.000000'

as shown above, default is 6 digits! This is not helpful for our case example, so instead we could use something like this:

>>> '{:.20f}'.format(a) '-0.00000000000000007186'

##### Update

Starting in Python 3.6, this can be simplified with the new formatted string literal, as follows:

>>> f'{a:.20f}' '-0.00000000000000007186'

**How to suppress scientific notation in Pandas,** Four easy ways to suppress scientific notation in Python Pandas with detailed instructions and two ways of reverting back your global changes. NumPy: Array Object Exercise-84 with Solution. Write a NumPy program to suppresses the use of scientific notation for small numbers in NumPy array.

With newer versions of Python (2.6 and later), you can use `''.format()`

to accomplish what @SilentGhost suggested:

'{0:f}'.format(x/y)

**How do I suppress scientific notation in Python?,** Is there any way to suppress scientific notation and make it display as 0.00001 ? How to convert the scientific notation into float . Thanks in Python Force-suppress all exponential notation when printing numpy ndarrays, wrangle text justification, rounding and print options: What follows is an explanation for what is going on, scroll to bottom for code demos. Passing parameter suppress=True to function set_printoptions works only for numbers that fit in the default 8 character space allotted to it, like this:

Another option, if you are using pandas and would like to suppress scientific notation for all floats, is to adjust the pandas options.

import pandas as pd pd.options.display.float_format = '{:.2f}'.format

**NumPy: Suppresses the use of scientific notation for small numbers ,** Write a NumPy program to suppresses the use of scientific notation for small numbers in NumPy array. print(x) print("Print array values with precision 3:") np.set_printoptions(suppress=True) print(x) Python Code Editor:. I know how to do string formatting in python but I'm at a loss when it comes to applying it here. df1.groupby('dept')['data1'].sum() dept value1 1.192433e+08 value2 1.293066e+08 value3 1.077142e+08 This suppresses the scientific notation if I convert to string but now I'm just wondering how to string format and add decimals.

This will work for any exponent:

def getExpandedScientificNotation(flt): str_vals = str(flt).split('e') coef = float(str_vals[0]) exp = int(str_vals[1]) return_val = '' if int(exp) > 0: return_val += str(coef).replace('.', '') return_val += ''.join(['0' for _ in range(0, abs(exp - len(str(coef).split('.')[1])))]) elif int(exp) < 0: return_val += '0.' return_val += ''.join(['0' for _ in range(0, abs(exp) - 1)]) return_val += str(coef).replace('.', '') return return_val

**Numpy Turn Off Scientific Notation,** One possibility to get what you want is to use Python string formatting. This can be done the old way with % and the new way with {} and .format . dataframe.describe() suppress scientific notation 0 In there any way to avoid e values/ real values in python output. i.e instead of 9.586945e+05 can I get actual float values

**Show full (non-scientific-notation) of very small decimal ,** from platform import python_versionimport jupyterlab If the scientific notation is not your preferred format, you can disable it with a single command. I've been trying to suppress scientific notation in pyplot for a few hours now. After trying multiple solutions without success, I would like some help. plt.plot(range(2003,2012,1),range(200300,2

**Display Customizations for pandas Power Users,** In python, we use the format function to control how variables are printed. We use the “e” or “E” format modifier to specify scientific notation. Python Reference (The Right Way) Docs » e | E (scientific notation) Edit on GitHub; e | E (scientific notation)

**Controlling the format of printed variables,** However, after the stage of insertion into the numpy array, they appear as scientific notation. The code is here: Python Code: (Double-click to How do I suppress scientific notation in Python? (6) Here's my code: x = 1.0 y = 100000.0 print x/y My quotient displays as 1.00000e-05. Is there any way to suppress scientific notation and make it display as 0.00001? How to convert the scientific notation into float. Thanks in advance.