Modifying value in a numpy array conditionnal

Question

I have a y_actual array of size (1250, ) and a y_predicted array of size (1250,1). I want to compute the absolute value of the difference between y_actual and y_predicted, that I achieve with : diff_y = np.abs(y_actual[:,] - y_predicted[:,0])

I would like to modify values is diff_y for the specific case where y_actual is > 0 and y_predicted is < 0. Let's assume I want to multiply it by 2. I made several unsuccessful attemps, like : diff_y[y_actual[:,]> 0 and y_predicted[:,0] <0] *=2 but I don't succeed. Any idea how to proceed ? Thx in advance

Side note: you could use np.abs(y_actual - np.squeeze(y_predicted)) for the first snippet. — phipsgabler
– phipsgabler, Commented Aug 16, 2020 at 16:23

Kuldip Chaudhari · Accepted Answer · 2020-08-16 16:38:26Z

1

You can try this

y_predicted = y_predicted.reshape(y_actual.shape)
diff_y = np.abs(y_actual - y_predicted)
diff_y[(y_actual> 0) & (y_predicted<0)] *=2
print(diff_y)

answered Aug 16, 2020 at 16:38

Kuldip Chaudhari

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1 Comment

JDE65 Over a year ago

Great ! Thanks a lot

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