The array begins at zero, and the array property length is used to set the loop end. Thanks in advance.Įdit: X_Train is very large. A for loop can be used to access every element of an array. toarray () returns an ndarray Max Kleiner. STEP 3: Finally, print out each element of. STEP 2: Loop through the array by incrementing the value of i. The detected shape was (2,) + inhomogeneous part. ALGORITHM: STEP 1: Declare and initialize an array. The requested array has an inhomogeneous shape after 1 dimensions. toarray () we enlarge it to an array of sequence. ValueError: setting an array element with a sequence. Hence, you're trying to set an array element with a sequence. As an alternative for onehotencoder from scikit you can use getdummies from pandas and concat it to dataframe i.e. Note: I have a feeling that something might be wrong while I convert the numpy array to string and then a string to a numpy array. The value error means we're trying to load a n-element array (sequence) into a single number slot which only has a float. Its because the X values are much like 0,0,1,0,2 which aint a correct 2D data and this will lead to Setting an array element with a sequence. The first column has the name of the Audio, second column has the feature array and the last element is the label, I don't see what made these errors. To create an array of numeric values, we need to import the array. This is how each row in a CSV file looks like: "13_10 The Long And Winding Road " "" 0 The array module allows us to store a collection of numeric values. I have calculated the features of audio files and wrote them into a CSV file. I have been working on scikit-learn SVMs for a binary classification problem. A numpy array is being created, and numpy doesnt know how to cram multivalued tuples or arrays into single element slots. Before downvoting this question and marked as duplicate, let me just explain the issue, i tried all the possible solutions with similar question here on stack, but none of them worked.
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