Question: I'm not sure why but after getting a new install of windows and a new pycharm install I am having issues with running some previously functional code. I am now getting the above error with the code below. Is it a setup issue or has something changed that now makes this code not function? Error happens on the last line. The error doesn't make sense to me as there should be no conversion required for ndarray to ndarray. import numpy as np import pyodbc import pandas as pd import sqlalchemy as SQL import torch import datetime # Setup your SQL connection server = [hidden for security] database = [hidden for security] username = [hidden for security] password = [hidden for security] # This is using the pyodbc connection cnxn = pyodbc.connect( 'DRIVER={SQL Server};SERVER=' + server + ';DATABASE=' + database + ';UID=' + username + ';PWD=' + password) cursor = cnxn.cursor() # This is using the SQLAlchemy connection engine_str = SQL.URL.create( drivername="mssql+pyodbc", username=username, password=password, host=server, port=1433, database=database, query={ "driver": "ODBC Driver 17 for SQL Server", "TrustServerCertificate": "no", "Connection Timeout": "30", "Encrypt": "yes", }, ) engine = SQL.create_engine(engine_str) storeemployee = [] regionalemployee = [] regionid = [] storeid = [] # get table from dev with engine.connect() as connection: result = connection.execute(SQL.text("SELECT StoreId, R_Num, RegionalMerchandiserEmployeeId, StoreMerchandiserEmployeeId from Staging.StoreMerchandiserInput")) for row in result: # set your variables = to the results storeemployee.append(row.StoreMerchandiserEmployeeId) regionalemployee.append(row.RegionalMerchandiserEmployeeId) regionid.append(row.R_Num) storeid.append(row.StoreId) storeemployee = np.array(storeemployee) regionalemployee = np.array(regionalemployee) regionid = np.array(regionid) storeid = np.array(storeid) # StoreMerchandiserEmail data = {'StoreMerchandiserEmployeeId': storeemployee, 'RegionalMerchandiserEmployeeId': regionalemployee, "R_Num": regionid, "StoreId":storeid} FinalData = pd.DataFrame(data, columns=['StoreMerchandiserEmployeeId', 'RegionalMerchandiserEmployeeId', 'R_Num', 'StoreId'])  Edit - Full Error Messaging: Traceback (most recent call last): File "C:\Users\Carter.Lowe\Documents\Python Files\Data Import 2.py", line 56, in <module> FinalData = pd.DataFrame(data, columns=['StoreMerchandiserEmployeeId', 'RegionalMerchandiserEmployeeId', 'R_Num', 'StoreId']) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\Carter.Lowe\AppData\Local\Programs\Python\Python312\Lib\site-packages\pandas\core\frame.py", line 778, in __init__ mgr = dict_to_mgr(data, index, columns, dtype=dtype, copy=copy, typ=manager) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\Carter.Lowe\AppData\Local\Programs\Python\Python312\Lib\site-packages\pandas\core\internals\construction.py", line 443, in dict_to_mgr arrays = Series(data, index=columns, dtype=object) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\Carter.Lowe\AppData\Local\Programs\Python\Python312\Lib\site-packages\pandas\core\series.py", line 490, in __init__ index = ensure_index(index) ^^^^^^^^^^^^^^^^^^^ File "C:\Users\Carter.Lowe\AppData\Local\Programs\Python\Python312\Lib\site-packages\pandas\core\indexes\base.py", line 7647, in ensure_index return Index(index_like, copy=copy, tupleize_cols=False) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\Carter.Lowe\AppData\Local\Programs\Python\Python312\Lib\site-packages\pandas\core\indexes\base.py", line 565, in __new__ arr = sanitize_array(data, None, dtype=dtype, copy=copy) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\Carter.Lowe\AppData\Local\Programs\Python\Python312\Lib\site-packages\pandas\core\construction.py", line 654, in sanitize_array subarr = maybe_convert_platform(data) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\Carter.Lowe\AppData\Local\Programs\Python\Python312\Lib\site-packages\pandas\core\dtypes\cast.py", line 139, in maybe_convert_platform arr = lib.maybe_convert_objects(arr) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "lib.pyx", line 2538, in pandas._libs.lib.maybe_convert_objects TypeError: Cannot convert numpy.ndarray to numpy.ndarray 

Answer: I just had the same error today and solved it by updating numpy to 2.0.0rc2.