Numpy `ValueError: operands could not be broadcast together with shape ...`


Im using python 2.7 and am attempting a forcasting on some random data from 1.00000000 to 3.0000000008. There are approx 196 items in my array and I get the error

ValueError: operands could not be broadcast together with shape (2) (50)

I do not seem to be able to resolve this issue on my own. Any help or links to relevant documentation would be greatly appreciated.

Here is the code I am using that generates this error

nsample = 50
sig = 0.25
x1 = np.linspace(0,20, nsample)
X = np.c_[x1, np.sin(x1), (x1-5)**2, np.ones(nsample)]
beta = masterAverageList
y_true = ((X, beta))
y = y_true + sig * np.random.normal(size=nsample)

This question is tagged with python arrays numpy array-broadcasting

~ Asked on 2012-08-08 01:34:55

The Best Answer is


If X and beta do not have the same shape as the second term in the rhs of your last line (i.e. nsample), then you will get this type of error. To add an array to a tuple of arrays, they all must be the same shape.

I would recommend looking at the numpy broadcasting rules.

~ Answered on 2012-08-08 01:48:40

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