I am using a lab instrument that returns data as a NumPy array, which I am in turn storing as part of a list with this structure: raw_data = [[int, numpy.ndarray, int, int]] I want to grab the biggest number from the second column of that NumPy array (many rows and 2 columns), so I wrote this code: # …code that collects data and writes it to the raw_data list… max_ccounts = raw_data[1][1].max(axis=0)[1] print(max_ccounts) But I constantly get the following error: Traceback (most recent call last): File "/usr/local/lib/python3.9/runpy.py", line 197, in _run_module_as_main return _run_code(code, main_globals, None, File "/usr/local/lib/python3.9/runpy.py", line 87, in _run_code exec(code, run_globals) File "/home/kimfook-lee/Desktop/automated_TPI.py", line 75, in <module> max_ccounts = raw_data[1][1].max(axis=0)[1] KeyError: '__builtins__' I know that raw_data[1][1] points to a NumPy array because I printed it. I wasn’t sure if I was accessing the list elements properly so I tried to do it on my own in the terminal, using the exact same NumPy array that was printed: >>> raw_data1 = np.array([[7200, 876],[8000,840271]]) >>> raw_data = [[0,raw_data1,10,10]] >>> max_ccounts = raw_data[0][1].max(axis=0)[1] >>> print(max_ccounts) 840271 Whenever I search for KeyError, I only find things related to dictionaries, and can’t find any information related to __builtins__ or NumPy. I added some temp variables and printed them to find the error. # …code that collects data and writes it to the raw_data list… tmp1 = raw_data[1] print('tmp1:', tmp1) tmp2 = tmp1[1] print('tmp2', tmp2) tmp3=tmp2.max(axis=0) print('tmp3', tmp3) tmp4 = tmp3[1] print('tmp4', tmp4) Now there is the same error with a different traceback. KeyError: '__builtins__' The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/usr/local/lib/python3.9/runpy.py", line 197, in _run_module_as_main return _run_code(code, main_globals, None, File "/usr/local/lib/python3.9/runpy.py", line 87, in _run_code exec(code, run_globals) File "/home/kimfook-lee/Desktop/automated_TPI.py", line 75, in <module> print('tmp1:', tmp1) RuntimeError: Unable to configure default ndarray.__repr__ What is causing this error and how can it be resolved? Continue reading...