AttributeError numpy ndarray object has no attribute append

0 votes

Hi Guys,

I am trying to append new  dataset in my array using append function, but It is showing me the error.

AttributeError: 'numpy.ndarray' object has no attribute 'append' 

How can I solve this error?

May 5, 2020 in Python by akhtar
• 38,170 points
25,094 views
Thank you. Your answer helped me to solve this error well.

3 answers to this question.

0 votes

Hi@akhtar,

If you trying to append data in your array, then you can use the below steps.

import numpy as np
arr = np.array([1,1,2])
arr1 = np.append(arr,4)
arr1
array([1, 1, 2, 4])
answered May 5, 2020 by MD
• 95,060 points
0 votes

Use numpy. append() to append an array to an empty array

  1. empty_array = np. array([])
  2. to_append = np. array([1, 2, 3])
  3. combined_array = np. append(empty_array, to_append) append `to_append` to `empty_array`
answered Dec 11, 2020 by Gitika
• 65,870 points
0 votes
for root, dirs, files in os.walk(directory):
    for file in files:
        floc = file
        im = Image.open(str(directory) + '\\' + floc)
        pix = np.array(im.getdata())
        pixels.append(pix)
        labels.append(1)   # append(i)???

So far ok. But you want to leave pixels as a list until you are done with the iteration.

pixels = np.array(pixels)
labels = np.array(labels)

You had this indention right in your other question.

Iterating, collecting values in a list, and then at the end joining things into a bigger array is the right way. To make things clear I often prefer to use notation like:

alist = []
for ..
    alist.append(...)
arr = np.array(alist)

If names indicate something about the nature of the object I'm less likely to get errors like yours.

I don't understand what you are trying to do with traindata. I doubt if you need to build it during the loop. pixels and labels have the basic information.

That

traindata = np.array([traindata[i][i],traindata[1]], dtype=object)

comes from the previous question. I'm not sure you understand that answer.

traindata = []
traindata.append(pixels)
traindata.append(labels)

if done outside the loop is just

traindata = [pixels, labels]

labels is a 1d array, a bunch of 1s (or [0,1,2,3...] if my guess is right). pixels is a higher dimension array. What is its shape?

Stop right there. There's no point in turning that list into an array. You can save the list with pickle.

answered Dec 11, 2020 by Rajiv
• 8,880 points

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