ValueError: setting an array element with a sequence
From the code you showed us, the only thing we can tell is that you are trying to create an array from a list that isn't shaped like a multi-dimensional array. For example
numpy.array([[1,2], [2, 3, 4]])
or
numpy.array([[1,2], [2, [3, 4]]])
will yield this error message, because the shape of the input list isn't a (generalised) "box" that can be turned into a multidimensional array. So probably UnFilteredDuringExSummaryOfMeansArray
contains sequences of different lengths.
Edit: Another possible cause for this error message is trying to use a string as an element in an array of type float
:
numpy.array([1.2, "abc"], dtype=float)
That is what you are trying according to your edit. If you really want to have a NumPy array containing both strings and floats, you could use the dtype object
, which enables the array to hold arbitrary Python objects:
numpy.array([1.2, "abc"], dtype=object)
Without knowing what your code shall accomplish, I can't judge if this is what you want.
The Python ValueError:
ValueError: setting an array element with a sequence.
Means exactly what it says, you're trying to cram a sequence of numbers into a single number slot. It can be thrown under various circumstances.
1. When you pass a python tuple or list to be interpreted as a numpy array element:
import numpynumpy.array([1,2,3]) #goodnumpy.array([1, (2,3)]) #Fail, can't convert a tuple into a numpy #array elementnumpy.mean([5,(6+7)]) #goodnumpy.mean([5,tuple(range(2))]) #Fail, can't convert a tuple into a numpy #array elementdef foo(): return 3numpy.array([2, foo()]) #gooddef foo(): return [3,4]numpy.array([2, foo()]) #Fail, can't convert a list into a numpy #array element
2. By trying to cram a numpy array length > 1 into a numpy array element:
x = np.array([1,2,3])x[0] = np.array([4]) #goodx = np.array([1,2,3])x[0] = np.array([4,5]) #Fail, can't convert the numpy array to fit #into a numpy array element
A numpy array is being created, and numpy doesn't know how to cram multivalued tuples or arrays into single element slots. It expects whatever you give it to evaluate to a single number, if it doesn't, Numpy responds that it doesn't know how to set an array element with a sequence.
In my case , I got this Error in Tensorflow , Reason was i was trying to feed a array with different length or sequences :
example :
import tensorflow as tfinput_x = tf.placeholder(tf.int32,[None,None])word_embedding = tf.get_variable('embeddin',shape=[len(vocab_),110],dtype=tf.float32,initializer=tf.random_uniform_initializer(-0.01,0.01))embedding_look=tf.nn.embedding_lookup(word_embedding,input_x)with tf.Session() as tt: tt.run(tf.global_variables_initializer()) a,b=tt.run([word_embedding,embedding_look],feed_dict={input_x:example_array}) print(b)
And if my array is :
example_array = [[1,2,3],[1,2]]
Then i will get error :
ValueError: setting an array element with a sequence.
but if i do padding then :
example_array = [[1,2,3],[1,2,0]]
Now it's working.