![]() We are trying to find the mean of array elements where one element is a tuple. The problem here is that numpy is unable to convert a tuple, ("Thor", "Hulk"), into array element. These examples will throw error – import numpy as np ![]() To replace or insert a value at an index in numpy array, you can use a single dimensional, single value array. You can use a function which is returning a valid element within array. Else, it will be the expression which result as 50. These examples will work fine – import numpy as np Now we will look at various situations where we will or will not get the array element with sequence error – If you want to keep it unrestricted, then use dtype=object. Since Ironman is a string, so it can’t be the part of array of floats ( dtype=float). So, a float array can only contain float values and not strings. ![]() So, this code will work fine – import numpy as npĪnother reason for the same problem is using a different type of element in array than the defined datatype. If we make the length of both arrays equal, then there will be no error. This will throw valueerror setting array element with sequence, because we are asking numpy to create an array from the list which has elements of different dimensions – and. For example, you are defining a float array and inserting string values in it.Ĭonsider this code example – import numpy as np Another reason is related to the type of content in array. There is no other way - either rethink representation of your data, or change approach.Python throws valueerror: setting an array element with a sequence, when you are trying to create an array with the list which is not proper multi-dimensional in shape.
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