TypeError: 'numpy.ndarray' object is not callable while extracting index and elements are stored in different array in p

TypeError: 'numpy.ndarray' object is not callable while extracting index and elements are stored in different array in p

By : Christina
Date : November 22 2020, 10:54 AM
wish helps you When i execute the following line , Try this:
code :
>>> import numpy as np
>>> u_padded = np.random.randint(1,100,3024).reshape(1,3024) # random array of 1*3024 elements
>>> u_padded.shape
(1, 3024)
>>> index = np.random.randint(0,3024,100*2016).reshape(100,2016) # random array of 100*2016 indexes with index range = (0,3024)
>>> index.shape
(100, 2016)
>>> u_padded[0,index] # select elements from u_padded with index from index array
array([[91, 53, 67, ..., 55, 13, 66],
       [16, 35, 64, ..., 58, 22, 62],
       [67, 36, 70, ..., 22, 53, 94],
       [28, 49, 61, ..., 89, 74,  8],
       [81, 34, 98, ..., 72, 70, 25],
       [16, 77, 27, ..., 42, 80, 45]])
>>> u_padded[0,index].shape
(100, 3024)

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TypeError: 'numpy.ndarray' object is not callable in my code

TypeError: 'numpy.ndarray' object is not callable in my code

By : DLay10
Date : March 29 2020, 07:55 AM
like below fixes the issue I have written two python codes. Code 1 is showing error of 'numpy.ndarray' object is not callable. But when I comment some section which is in code 2, program runs successfully. I am new to this language so I can't figure out what the problem is. Is there some syntax error? Can anyone resolve this issue? , You have this line near the beginning of the first script:
code :
sum = np.zeros(13)
    grad0 = (1.0/506)*sum([(theta[0] + theta[1]*xx[i][0] + theta[2]*xx[i][1] + theta[3]*xx[i][2] + theta[4]*xx[i][3] + theta[5]*xx[i][4] + theta[6]*xx[i][5]
                    + theta[7]*xx[i][6] + theta[8]*xx[i][7] + theta[9]*xx[i][8] + theta[10]*xx[i][9] + theta[11]*xx[i][10] + theta[12]*xx[i][11]
                    + theta[13]*xx[i][12] - y[i]) for i in range (506)])
In [7]: x
Out[7]: array([ 1.,  2.,  3.])

In [8]: x(99)
TypeError                                 Traceback (most recent call last)
<ipython-input-8-05cea57e85d3> in <module>()
----> 1 x(99)

TypeError: 'numpy.ndarray' object is not callable
Uknown TypeError: 'numpy.ndarray' object is not callable

Uknown TypeError: 'numpy.ndarray' object is not callable

By : Alexander Ziegler
Date : March 29 2020, 07:55 AM
around this issue I have a TypeError: 'numpy.ndarray' object is not callable and I have now clue what this means. I'm currently following this tutorial: https://www.youtube.com/watch?v=tNa99PG8hR8 , Your error
code :
int i = 0;
clf.fit(train_data, train_target())
clf.fit(train_data, train_target)
getting TypeError: 'numpy.ndarray' object is not callable

getting TypeError: 'numpy.ndarray' object is not callable

By : user2324702
Date : March 29 2020, 07:55 AM
Hope that helps I am getting the following error for the code , I guess this is what you want to achieve:
code :
from sklearn.datasets import load_iris

iris = load_iris()
X = iris.data #(150,4) numpy.ndarray
y = iris.target #(150, ) numpy.ndarray
how to fix 'TypeError: 'numpy.ndarray' object is not callable'

how to fix 'TypeError: 'numpy.ndarray' object is not callable'

By : Dharma Raj
Date : March 29 2020, 07:55 AM
Does that help the problem is with target('float32') target is the numpy.ndarray, and by having the () after it, you are attempting to call it like a function
With opencv images, float32 is in the range 0.0-1.0 while uint8 is in the range 0-255
What does 'TypeError: 'numpy.ndarray' object is not callable' mean?

What does 'TypeError: 'numpy.ndarray' object is not callable' mean?

By : Daemonk
Date : March 29 2020, 07:55 AM
wish help you to fix your issue Most likely, df["price"].values returns a numpy.ndarray, and then () attempts to call an array (which cannot occur; only methods/functions can be called). Drop the ():
code :
target = df2["price"].values
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