Self.obj._mgr = self.obj._mgr.setitem(indexer=indexer, value=value)įile "C:\Users\SHUBHAM SAYON\PycharmProjects\Finxer\venv\lib\site-packages\pandas\core\internals\managers.py", line 355, in setitem Self._setitem_single_block(indexer, value, name)įile "C:\Users\SHUBHAM SAYON\PycharmProjects\Finxer\venv\lib\site-packages\pandas\core\indexing.py", line 1968, in _setitem_single_block Iloc._setitem_with_indexer(indexer, value, self.name)įile "C:\Users\SHUBHAM SAYON\PycharmProjects\Finxer\venv\lib\site-packages\pandas\core\indexing.py", line 1732, in _setitem_with_indexer The above exception was the direct cause of the following exception:įile "C:\Users\SHUBHAM SAYON\PycharmProjects\Finxer\Errors\ValueError-array_sequence.py", line 7, in įile "C:\Users\SHUBHAM SAYON\PycharmProjects\Finxer\venv\lib\site-packages\pandas\core\indexing.py", line 723, in _setitem_ TypeError: float() argument must be a string or a number, not 'list' Output = pd.DataFrame(data=], columns=, index=) Now, consider the following example that leads to the occurrence of the ValueError: You need to import the Pandas library to utilize it. In Python, Pandas is an open-source library that provides high performance with easy-to-use data structures and data analysis tools. ![]() ] Solution 2: Dealing with Pandas Library So, you must ensure that the first dimension also has 4 elements. As this is a 2D array having 4 elements in the second dimension. Solution: To eliminate the occurrence of the above error, you have to rectify the shape of the array. In this case, has a dimension of 3, while has dimension 4. The detected shape was (2,) + inhomogeneous part.Įxplanation: Here, the ValueError occurred because the array improper dimensions, i.e. ![]() The requested array has an inhomogeneous shape after 1 dimensions. ValueError: setting an array element with a sequence. Output: Traceback (most recent call last):įile "C:\Users\SHUBHAM SAYON\PycharmProjects\Finxer\Errors\ValueError-array_sequence.py", line 4, in Solution 1: Using Proper Array DimensionsĬonsider the following example where we have a certain NumPy array with dimensions as shown below. Now that you know what ValueError is let’s look at the different ways to solve ValueError: setting an array element with a sequence. If you want to learn more about the dimensions of arrays in Python, please refer to this tutorial. ![]() The number of indices required to specify an individual array element is its dimension. Note: The number of elements in each dimension of an array is known as its shape.
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