Exponential values in numpy array

Question

1.00/5 (1 vote)

See more:

i have numpy array fo certain size and i am providing that array as an input to my random forest classifier in scikit learn. The issue some of the array rows have values in exponential form. for example :

Python

[  9.80896897e-02   5.59544777e-02   2.49288714e-02   9.89025877e-03
   4.06448991e-03   2.30321095e-03   1.21934697e-03   8.12897981e-04
   5.41931988e-04   1.21934697e-03   1.35482997e-03   1.89676196e-03
   3.11610893e-03   2.16772795e-03   3.65804092e-03   1.49031297e-03
   3.92900691e-03   1.08386398e-03   1.49031297e-03   3.65804092e-03
   6.50318385e-03   1.25999187e-02   4.52513210e-02   9.21284379e-02
   6.20647609e-01]

What I have tried:

I have tried to use np.around upto 8 decimal places but that does not work. If i tried to have value of more that 4 decimal point it makes it in exponential form.

Also, tried to convert those values to np.float128 form but the moment i pass those value to classifier.fit() function it again internally convert them float64 form.

Supressing the print form also didn't help.

Posted 9-Dec-17 5:14am

Member 13566854

Add a Solution

Comments

phil.o 9-Dec-17 11:38am

What is the problem with this representation? You do realize that it is just another way to represent a floating point number, do you? And that 9.808968897e-02 and 0.09808968897 are two distinct representations of the same value?

Richard MacCutchan 9-Dec-17 13:03pm

You need to learn the difference between values held in memory and their visual representation.

Add your solution here

Treat my content as plain text, not as HTML

Preview 0

…

Existing Members

Sign in to your account

...or Join us

Download, Vote, Comment, Publish.

Your Email
Password
Forgot your password?

Your Email
This email is in use. Do you need your password?
Optional Password

I have read and agree to the Terms of Service and Privacy Policy
Please subscribe me to the CodeProject newsletters

When answering a question please:

Read the question carefully.
Understand that English isn't everyone's first language so be lenient of bad spelling and grammar.
If a question is poorly phrased then either ask for clarification, ignore it, or edit the question and fix the problem. Insults are not welcome.
Don't tell someone to read the manual. Chances are they have and don't get it. Provide an answer or move on to the next question.

Let's work to help developers, not make them feel stupid.

This content, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)