how to add a column into the numpy matrix?

Asked Sep 18 '18 at 22:04

Active Sep 18 '18 at 23:16

Viewed 50 times

here is my code to add additional column into x_vals, but i keep getting this error:

x_vals = np.array([x[0:4] for x in iris.data])
np.concatenate([x_vals, np.array([x[0] for x in iris.data])],1)

ValueError: all the input arrays must have same number of dimensions

can anyone help me ?

edited Sep 18 '18 at 23:16

user3483203

asked Sep 18 '18 at 22:04

Harry Chen

In place of `x[0]` try either `x[0:1]` or `x[0, None]`. – Paul Panzer Sep 18 '18 at 22:51
Did you check the shape of `x_vals` and of the thing you are trying to add to it? The first thing we do when we get `dimensions` errors is to check the shapes! – hpaulj Sep 19 '18 at 02:54
Possible duplicate of [How to add an extra column to a NumPy array](https://stackoverflow.com/questions/8486294/how-to-add-an-extra-column-to-a-numpy-array) – Joe Sep 19 '18 at 06:03
I like this solution: https://stackoverflow.com/a/18207544/7919597 – Joe Sep 19 '18 at 06:03

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