Error-Fixes

We see json.decoder.JSONDecodeError: Expecting value error when we load the json response/file with load() or loads() and the json response/file cannot be decoded by the json decoder. It can be for various reasons : The JSON response/file is empty. The JSON response/file is not in JSON format. The JSON response/file is not structured properly. The JSON response/file has values that are not understood by the json decoder. In this article, let’s see the different cases when this error is seen and possible fixes for the json.decoder.JSONDecodeError: Expecting value error. Also check the similar error, How to Fix JSONDecodeError: Expecting value: line … Read more

We see the TypeError: ‘numpy.ndarray’ object is not callable error in Python when we try to index the numpy.ndarray object wrongly. This is a very simple error and happens when we have just started using Numpy Array without properly knowing how to index these arrays. In this article, let’s take a look at what causes this error and determine how to overcome this error. Also check, How to print the full NumPy array without any truncation in the output? What causes TypeError: ‘numpy.ndarray’ object is not callable? In Python, we call a function using the round brackets (). To index, we … Read more

Python comes with a standard set of modules that can be used by the users directly by importing them into the program. If you want to use the external modules, they are available in the PyPI repository. To use an external module from the PyPI repository, we have to first install that moudle on our system. To install the module on your system, we can make use of the package managing tools like pip, easy-install, etc. The Import Error: No module named requests signifies that Python is not able to find the module named requests. This can happen in the … Read more

You see TypeError: list indices must be integers or slices, not tuple when you try to index the list with a tuple. Generally, the list indices are expected to be integers or slices(specified with the colon operator). This error shows up if: You’re using a comma instead of a colon for slicing. You miss a comma while defining a list. You index a nested list with a comma. Let’s discuss the causes and fixes for this error in detail with examples. Also, check TypeError: only integer scalar arrays can be converted to a scalar index Fixes for TypeError: list indices … Read more

You see the TypeError: only integer scalar arrays can be converted to a scalar index in Python when you’re working with numpy for one of the following reasons. If you’re trying to index a list with a numpy array instead of a numpy array element.  When a numpy method is expecting dimension, and you provide the array instead. While using numpy.concatenate(), you pass arrays instead of tuples or lists. Now, let’s try to understand the causes with detailed examples. Also check, How to fix IndexError: arrays used as indices must be of integer (or boolean) type.   What causes the … Read more

ValueError: could not convert string to float shows up when you try to convert the string object to float. But the string object contains invalid floating characters such as commas, text, special characters, etc. Firstly, let’s understand what causes this error in detail. What causes ValueError: could not convert string to float? In real-time, the input files are in TXT,CSV, or XML format. The data from these files are treated as strings. Even the numerical data is considered as a string. To convert these number-like strings to float, we can use the float() method. float() constructs a floating-point number from the given string. … Read more

The error IndexError: arrays used as indices must be of integer (or boolean) type shows up when you use an array of float or string type as an index to an array. Let’s try to understand this error in a bit more detail. What causes the IndexError: arrays used as indices must be of integer (or boolean) type? Numpy arrays must have indices of type int or boolean. When indices of some other type, like floats or strings, are used, you see an error. Consider the following example, let’s say we have an array [[0,1,1.1],[0,2,2.1]]. We have to use the first column … Read more