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TypeError occurs when you pass an array instead of passing a single value in the function or when you are working on NumPy and matplotlib. pyplot. To fix this, add the code and it returns vector results.
A scalar array is a fixed-length group of consecutive memory locations that each store a value of the same type. You access scalar arrays by referring to each location with an integer starting from zero. In D programs, you would usually use scalar arrays to access array data within the operating system.
Joining NumPy Arrays In SQL we join tables based on a key, whereas in NumPy we join arrays by axes. We pass a sequence of arrays that we want to join to the concatenate() function, along with the axis. If axis is not explicitly passed, it is taken as 0.
Perhaps the error message is somewhat misleading, but the gist is that X_train is a list, not a numpy array. You cannot use array indexing on it. Make it an array first:
out_images = np.array(X_train)[indices.astype(int)]
I get this error whenever I use np.concatenate the wrong way:
>>> a = np.eye(2)
>>> np.concatenate(a, a)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "<__array_function__ internals>", line 6, in concatenate
TypeError: only integer scalar arrays can be converted to a scalar index
The correct way is to input the two arrays as a tuple:
>>> np.concatenate((a, a))
array([[1., 0.],
[0., 1.],
[1., 0.],
[0., 1.]])
A simple case that generates this error message:
In [8]: [1,2,3,4,5][np.array([1])]
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-8-55def8e1923d> in <module>()
----> 1 [1,2,3,4,5][np.array([1])]
TypeError: only integer scalar arrays can be converted to a scalar index
Some variations that work:
In [9]: [1,2,3,4,5][np.array(1)] # this is a 0d array index
Out[9]: 2
In [10]: [1,2,3,4,5][np.array([1]).item()]
Out[10]: 2
In [11]: np.array([1,2,3,4,5])[np.array([1])]
Out[11]: array([2])
Basic python list indexing is more restrictive than numpy's:
In [12]: [1,2,3,4,5][[1]]
....
TypeError: list indices must be integers or slices, not list
Looking again at
indices = np.random.choice(range(len(X_train)), replace=False, size=50000, p=train_probs)
indices is a 1d array of integers - but it certainly isn't scalar. It's an array of 50000 integers. List's cannot be indexed with multiple indices at once, regardless of whether they are in a list or array.
Another case that could cause this error is
>>> np.ndindex(np.random.rand(60,60))
TypeError: only integer scalar arrays can be converted to a scalar index
Use the actual shape will fix it.
>>> np.ndindex(np.random.rand(60,60).shape)
<numpy.ndindex object at 0x000001B887A98880>
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