TypeError: only size-1 arrays can be converted to Python scalars

Dung Do Tien Aug 10 2021 53

Hello, I just only a newbie in Python, and I'm studying the array and now I want to print out all items of it to console.

 import numpy as np
 
y = np.array([1, 2, 3, 4, 5, 6, 7, 8])
y = np.float(y)
print(y)

But when I run this code I get the error "TypeError: only size-1 arrays can be converted to Python scalars"

 main.py:4: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  y = np.float(y)
Traceback (most recent call last):
  File "main.py", line 4, in <module>
    y = np.float(y)
TypeError: only size-1 arrays can be converted to Python scalars

How can I resolve this issue?

Have 3 answer(s) found.
  • D

    Dương Trang Quốc Aug 10 2021

    You can use Loops to help print out items of an array

    Loops are the most brute force methods to apply a function over a set of values. But it provides us control over all parts of the elements and can be used to customize elements if we need it.

     import numpy as np
     
    x = np.array([1, 2, 3, 4, 5, 6, 7])
    y = np.array([None]*6)
    for i in range(6):
        y[i] = np.float(x[i])
    print(y) 
  • N

    Nitin Kumar Aug 10 2021

    You can use Map() function as below:

     import numpy as np
     
    x = np.array([1, 2, 3, 4, 5, 6])
    x = np.array(list(map(np.float, x)))
    print(x) 
  • T

    Thắng Ngô Minh Aug 10 2021

    You can try using vectorize() method.

     import numpy as np
     
    vector = np.vectorize(np.float)
    x = np.array([1, 2.56, 3, 4, 5.5, 6, 7.4])
    x = vector(x)
    print(x)

    It's worked for me!!

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