![]() ![]() python interpreter output- image=Image.open('sample.jpg').convert('LA')ī=numpy.array(dataset,dtype=)Įven though i am running same set of instruction (logically), when i run sample.py, i get valueError: setting an array element with a sequence. I dont get error saying setting an array element with a sequence here. We face this error basically when we creating array or dealing with numpy.array. Error which we basically encounter when we using Numpy library is ValueError: setting array element with a sequence. When is run this in python interpreter, it seems to be working for me. Practice In this article, we will discuss how to fix ValueError: setting array element with a sequence using Python. ValueError: setting an array element with a sequence.Ĭsv file contains two fields. Instead of having sentence1padded and setence2padded as elements of 80x50 (after performing embedding lookup), you need to have them as word IDs of sequence length (80) After doing these changes when you do datasentence1padded for example, it should return a (5000, 80) matrix. Traceback (most recent call last): File "convert_dataset_pkl_file.py", line 50, in įile "convert_dataset_pkl_file.py", line 29, in generate_pkl_fileįile "convert_dataset_pkl_file.py", line 24, in load_dir_data ![]() Return ret_val,np.array(labels).astype(float) Image=Image.open(row+'.jpg').convert('LA') ValueError: setting an array element with a sequence.I am trying to build a dataset similar to provided in theano logistic_sgd.py implementation. > 538 return array(a, dtype, copy=False, order=order) Creates a new array containing the specified number of a single, repeated value. The solution is to check and fix your input data. Creating an Array Creates an array containing the elements of a sequence. When you convert to a numpy array it becomes an array of shape (3,) with dtypeObject. ~/anaconda3/lib/python3.7/site-packages/numpy/core/numeric.py in asarray(a, dtype, order) There are 59 elements in row 1, and 58 in rows 2 & 3. import numpy as np print (np. > 531 array = np.asarray(array, order=order, dtype=dtype)ĥ33 raise ValueError("Complex data not supported\n" Solution In this solution, we will declare the size and length of both the arrays equal and fix the value error. ![]() ~/anaconda3/lib/python3.7/site-packages/sklearn/utils/validation.py in check_array(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, warn_on_dtype, estimator)ĥ29 array = array.astype(dtype, casting="unsafe", copy=False) ~/anaconda3/lib/python3.7/site-packages/sklearn/preprocessing/_data.py in partial_fit(self, X, y) ~/anaconda3/lib/python3.7/site-packages/sklearn/preprocessing/_data.py in fit(self, X, y)ģ37 # Reset internal state before fitting > 571 return self.fit(X, **fit_params).transform(X)ĥ73 # fit method of arity 2 (supervised transformation) that fit() method allows you to use: X : array-like or sparse matrix, shape(nsamples, nfeatures) Share. Here is an example of what I have already tried: import pandas as pd. I don't know where should I start to debug? Can anyone suggest some directions to figure out the issue? ~/anaconda3/lib/python3.7/site-packages/sklearn/base.py in fit_transform(self, X, y, **fit_params)ĥ70 # fit method of arity 1 (unsupervised transformation) I get ValueError: setting an array element with a sequence. 9 Answers Sorted by: 364 Possible reason 1: trying to create a jagged array You may be creating an array from a list that isn't shaped like a multi-dimensional array: numpy.array ( 1, 2, 2, 3, 4) wrong numpy.array ( 1, 2, 2, 3, 4) wrong In these examples, the argument to numpy.array contains sequences of different lengths. However, this error only occurs when I process one of my csv files. ![]() I got the ValueError: setting an array element with a sequence. I'm using min_max_scaler.fit_transform() to rescale each column in the Dataframe - df. ![]()
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