How to keep Numpy array from converting floats to ints when building array?

Question

I'm trying to construct a basic program for matrix manipulation to solve the iterable Gauss equations. To do that I'm using these data sets:

x = np.array([0.125, 0.25, 0.375, 0.5])
y = np.array([166, 144, 128, 120])
b = np.array([190,3])

And filling my main array as follows:

X[0:4,0] = np.exp(-b[1]*x[:])
X[0:4,1] = -b[0]*x[:]*np.exp(-b[1]*x[:])

When they are plugged in without the matrix, both code pieces return floats, which I need, but when put into X they switch to integers. I have done quite a bit of searching and I can't find a solution to this problem. I am a beginner so it wouldn't surprise me if this is something very simple, I've just run out of places to look. Thank you!

how did you create X ?

Anand S Kumar
– Anand S Kumar

2015-10-12 06:58:31 +00:00
Commented Oct 12, 2015 at 6:58 — Anand S Kumar
– Anand S Kumar, Commented Oct 12, 2015 at 6:58

julia-nf · Accepted Answer · 2015-10-12 07:33:20Z

3

When you created your X array, supposing you are giving him a size since you don't append anything, did you try just to precise the type ?

X = np.array((4,1), dtype="float32")

answered Oct 12, 2015 at 7:33

julia-nf

2431 silver badge8 bronze badges

Sign up to request clarification or add additional context in comments.

Collectives™ on Stack Overflow

How to keep Numpy array from converting floats to ints when building array?

1 Answer 1

Comments

Your Answer

Hot Network Questions

Collectives™ on Stack Overflow

1 Answer 1

Comments

Your Answer

Sign up or log in

Post as a guest

Related