How to Fix json.decoder.JSONDecodeError: Expecting value

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

How to fix TypeError: ‘numpy.ndarray’ object is not callable ?

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

How to solve TypeError: Object of type int32 is not JSON serializable in Python

The TypeError: Object of type int32 is not JSON serializable is seen when the type of the object we pass cannot be turned into a JSON object. JSON accepts int, float type of objects. However, when you pass the int32 or int64 type of objects (data types supported by numpy) you see an error as these data types are not supported in JSON. To get rid of this error, convert the object to the int object type. In this article, let us see what causes this error and also look at ways of fixing this error. Also check, How to Fix … Read more

How to fix TypeError: a bytes-like object is required not ‘str’ in Python

A TypeError exception is raised when a function is called on an inappropriate type of object. In this particular error, the function expected a byte-like object, but instead, a string object was provided to it. To understand how to solve this error, we have to first understand the difference between a byte string and a string. Python supports bytes and str objects. Byte objects are a sequence of binary characters. For example, ‘\xce\xb1\xce\xac’. These are not human-readable. However, these can be stored directly in the memory. However, string objects(eg- ‘αά’) are human-readable but cannot be stored directly in the memory. We can convert an … Read more

[SOLVED] pip install fails with connection error: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed (_ssl.c:598)

Python is a programming language known for its ease. It has a large collection of libraries. The users can make use of these libraries to perform the task instead of developing things from the scratch. Python has some standard libraries which are installed by default when you install Python on your system. If you need to use some other libraries that are developed by the Python community, they are available in the PyPI repo. Installing from PyPI is like downloading software from an unofficial source. There is a risk involved.  Thus many companies do not allow their employees to access … Read more

How to Fix ImportError: No module named requests

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

How to fix TypeError: list indices must be integers or slices, not tuple?

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

[FIX] TypeError: only integer scalar arrays can be converted to a scalar index

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

How to solve ValueError: could not convert string to float

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

IndexError: arrays used as indices must be of integer (or boolean) type

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