"indexerror: Too Many Indices" In Numpy Python

I know many people asked this question, but I could not get an appropriate answer that can solve my problem. I have an array X:: X= [1. 2. -10.] Now I am trying to make a

Solution 1:

I suggest using numpy.matrix instead of ndarray, it keeps a dimension of 2 regardless of how many rows you have:

In [17]: x
Out[17]: 
array([[0, 1, 2],
       [3, 4, 5],
       [6, 7, 8]])

In [18]: m=np.asmatrix(x)

In [19]: m[1]
Out[19]: matrix([[3, 4, 5]])

In [20]: m[1][0, 1]
Out[20]: 4

In [21]: x[1][0, 1]
---------------------------------------------------------------------------
IndexError                                Traceback (most recent call last)
<ipython-input-21-bef99eb03402> in <module>()
----> 1 x[1][0, 1]

IndexError: too many indices

Thx for @askewchan mentioning, if you want to use the numpy array arithmetic, use np.atleast_2d:

In[85]: np.atleast_2d(x[1])[0, 1]Out[85]: 4