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. X = np.array() #Fail, can't convert the numpy array to fitĪ numpy array is being created, and numpy doesn't know how to cram multivalued tuples or arrays into single element slots.
By trying to cram a numpy array length > 1 into a numpy array element: x = np.array() Numpy.array() #Fail, can't convert a list into a numpyĢ. Dim curExpense(364) As Currency To set the value of an individual element, you specify the element's index. By default, an array is indexed beginning with zero, so the upper bound of the array is 364 rather than 365. However, when I used OneHotEncoder, I received an error: ValueError: setting an array element with a sequence. When I used LabelEncoder, I did not encounter this problem. The following statement declares the array variable with 365 elements. I am currently using the titanic dataset to predict whether someone will survive or not given the features (This is a Kaggle Challenge), using logistic regression. an() #Fail, can't convert a tuple into a numpy Each element in an array contains one value. Numpy.array() #Fail, can't convert a tuple into a numpy When you pass a python tuple or list to be interpreted as a numpy array element: import numpy It can be thrown under various circumstances.ġ.
Means exactly what it says, you're trying to cram a sequence of numbers into a single number slot. Steps_per_epoch=1, epochs=1, shuffle=False, verbose=0)įile "D:\Anaconda\envs\tf14\lib\site-packages\keras\engine\training.py", line 1239, in fitįile "D:\Anaconda\envs\tf14\lib\site-packages\keras\engine\training_arrays.py", line 152, in fit_loopįile "D:\Anaconda\envs\tf14\lib\site-packages\tensorflow\python\keras\backend.The Python ValueError: ValueError: setting an array element with a sequence. Pydev_imports.execfile(file, globals, locals) # execute the scriptįile "D:\JetBrains\Toolbox\apps\P圜harm-P\ch-0\201.6668.115\plugins\python\helpers\pydev\_pydev_imps\_pydev_execfile.py", line 18, in execfileĮxec(compile(contents+"\n", file, 'exec'), glob, loc)įile "E:/1-Research/0-DP+GCN/0/5GNNs/keras-gcn/kegra/train.py", line 88, in odepack.error: Result from function call is not a proper array of floats.
#Setting an array element with a sequence code#
The code ran fine 2 weeks back, but I am having trouble now.ĭo you think its tensorflow or keras versions?įile "D:\JetBrains\Toolbox\apps\P圜harm-P\ch-0\201.6668.115\plugins\python\helpers\pydev\pydevd.py", line 1438, in _exec ValueError: setting an array element with a sequence occurs when a function receives an argument of the correct type, but the value of the type is invalid. ValueError: setting an array element with a sequence. I am trying to run the code as is but getting this error. import math import pylab from matplotlib.pylab import import numpy as np import scipy.fftpack from scipy.io.wavfile import read w read c:/users/ggg. ValueError: setting an array element with a sequence. Setting an array element with a sequence python.
> 85 return array(a, dtype, copy=False, order=order) ~/anaconda3/lib/python3.6/site-packages/numpy/core/_asarray.py in asarray(a, dtype, order) > 3277 dtype=tensor_type.as_numpy_dtype)) ~/anaconda3/lib/python3.6/site-packages/tensorflow/python/keras/backend.py in call(self, inputs)ģ275 tensor_type = dtypes_module.as_dtype(tensor.dtype) ~/anaconda3/lib/python3.6/site-packages/keras/engine/training_arrays.py in fit_loop(model, fit_function, fit_inputs, out_labels, batch_size, epochs, verbose, callbacks, val_function, val_inputs, shuffle, initial_epoch, steps_per_epoch, validation_steps, validation_freq)ġ94 ins_batch = ins_batch.toarray() ~/anaconda3/lib/python3.6/site-packages/keras/engine/training.py in fit(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_freq, max_queue_size, workers, use_multiprocessing, **kwargs) ValueError Traceback (most recent call last) Please use tf.compat.v1.global_variables instead. WARNING:tensorflow:From /Users/manohar/anaconda3/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:422: The name tf.global_variables is deprecated. Dataset has 2708 nodes, 5429 edges, 1433 features.
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