by Suf | Apr 19, 2022 | Programming, Python, Tips
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...
by Suf | Apr 18, 2022 | Programming, Python, Tips
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...
by Suf | Apr 18, 2022 | Programming, Python, Tips
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,...
by Suf | Apr 17, 2022 | Programming, Python, Tips
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...
by Suf | Apr 16, 2022 | Programming, Python, Tips
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...