How to convert 3D string to numpy array which is originated after saving 3D image in CSV

Regarding the error that you added:

ast.literal_eval(my_string_array)
....
[[[205  60 145]
         ^  
SyntaxError: invalid syntax

literal_eval works on a limited subset of Python syntax. For example it will work on a valid list input, e.g. "[[205, 60, 145]]". But the string in the error message does not match that; it's missing the commas. The str(an_array) omits the commas. str(an_array.tolist()) does not.

Most of the answers that deal with loading csv files like this stress that you will need to replace the spaces (or blank delimiters) with commas.

So in this case the error has nothing to do with the array being 3d.

Let me illustrate:

make 3d array:

In [720]: arr = np.arange(24).reshape(2,3,4)                                                     

In [722]: arr                                                                                    
Out[722]: 
array([[[ 0,  1,  2,  3],
        [ 4,  5,  6,  7],
        [ 8,  9, 10, 11]],

       [[12, 13, 14, 15],
        [16, 17, 18, 19],
        [20, 21, 22, 23]]])

It's str representation, which is probably what pandas writes to the csv:

In [723]: str(arr)                                                                               
Out[723]: '[[[ 0  1  2  3]\n  [ 4  5  6  7]\n  [ 8  9 10 11]]\n\n [[12 13 14 15]\n  [16 17 18 19]\n  [20 21 22 23]]]'

Compare that with what a list str looks like:

In [724]: arr.tolist()                                                                           
Out[724]: 
[[[0, 1, 2, 3], [4, 5, 6, 7], [8, 9, 10, 11]],
 [[12, 13, 14, 15], [16, 17, 18, 19], [20, 21, 22, 23]]]
In [725]: str(arr.tolist())                                                                      
Out[725]: '[[[0, 1, 2, 3], [4, 5, 6, 7], [8, 9, 10, 11]], [[12, 13, 14, 15], [16, 17, 18, 19], [20, 21, 22, 23]]]'

literal_eval has no problem with this triple nested list string:

In [726]: ast.literal_eval(_)                                                                    
Out[726]: 
[[[0, 1, 2, 3], [4, 5, 6, 7], [8, 9, 10, 11]],
 [[12, 13, 14, 15], [16, 17, 18, 19], [20, 21, 22, 23]]]

literal_eval applied to the array string produces your error:

In [727]: ast.literal_eval(Out[721])                                                             
Traceback (most recent call last):

  File "/usr/local/lib/python3.6/dist-packages/IPython/core/interactiveshell.py", line 3319, in run_code
    exec(code_obj, self.user_global_ns, self.user_ns)

  File "<ipython-input-727-700e3f960e29>", line 1, in <module>
    ast.literal_eval(Out[721])

  File "/usr/lib/python3.6/ast.py", line 48, in literal_eval
    node_or_string = parse(node_or_string, mode='eval')

  File "/usr/lib/python3.6/ast.py", line 35, in parse
    return compile(source, filename, mode, PyCF_ONLY_AST)

  File "<unknown>", line 1
    [[[ 0  1  2  3]
           ^
SyntaxError: invalid syntax

I might be able to fix that with a couple of string substitutions, effectively converting Out[721] to Out[725].

@Mad pointed out that if the array is large enough (over 1000 elements) str will produce a condensed version, replacing a lot of the values with '...'. You can verify that yourself. If that is the case, no amount of string editing will fix the problem. That string is useless.

In how to read numpy 2D array from string?, my answer has limited values since you already have string. https://stackoverflow.com/a/44323021/901925 is better. I've also SO questions that deal specifically with the strings that appear in pandas csv. In any case you need to pay attention to the details of the string, especially delimiters and special characters.