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In Python, bool is the type for the Boolean object, which is an object that represents one of two values: True or False. You cannot retrieve items from a Boolean value using the subscript operator [] like you can with a list or a tuple. If you try to use the subscript...

In Python, NoneType is the type for the None object, which is an object that indicates no value. Functions that do not return anything return None, for example, append() and sort(). You cannot retrieve items from a None value using the subscript operator [] like you...

If you try to perform a mathematical operation that calls the universal function ufunc.reduce on NumPy arrays containing numerical strings, you will raise the TypeError: cannot perform reduce with flexible type. To solve this error, you can cast the values in the...

If you try to pass a numpy.float64 object to a function or method that expects an integer, you will throw the TypeError: 'numpy.float64' object cannot be interpreted as an integer. You can convert the float64 objects to integers using the built-in int method to solve...

If you try to compare DataFrames with different indexes using the equality comparison operator ==, you will raise the ValueError: Can only compare identically-labeled DataFrame objects. You can solve this error by using equals instead of ==. For example,...

If you want to concatenate NumPy arrays using the numpy.concatenate method, the array dimensions must match. If the arrays have incompatible dimensions, you will encounter the ValueError: all the input arrays must have the same number of dimensions. There are several...

If you want to load a JSON file using json.loads() and you have multiple records not contained in an array, you will raise the ValueError: extra data. The method json.loads() is not able to decode more than one record at once. You can solve this error by reformatting...

If you try to import a JSON file containing endline separators \n into a pandas DataFrame, you will encounter ValueError: Trailing data. To solve this error, you can set the lines parameter in read_json to True, ensuring that each line reads as a JSON object. For...

If you try to join together two DataFrames that share one or more column names but do not provide a suffix for either the right or left DataFrame to differentiate the between the columns, you will raise the ValueError: Columns overlap but no suffix specified. To solve...