Only Size-1 Arrays Can Be Converted To Python Scalars

The error called only length-1 arrays can be converted to Python scalars is araised while the function requires a single value instead if you give an array. You can jump the definition of f(x) also simply pass np.int into the vectorize the function: f2 = np.

Hey Anthony,

TypeError occurs when you pass an array instead of passing a single value in the function or when you are working on NumPy and matplotlib.pyplot.
For example:

import numpy

import matplotlib.pyplot

def function(x):

  return numpy.int(x)

x = numpy.arange(1, 15.1, 0.1)

matplotlib.pyplot.plot(x, myfunction(x))

matplotlib.pyplot.show()

Output:

Traceback (most recent call last):

  File "error-1.py", line 13, in <module>

    matplotlib.pyplot.plot(x, myfunction(x))

  File "error-1.py", line 7, in myfunction

    return numpy.int(x)

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

To fix this, add the code and it returns vector results.

myfunction2= numpy.vectorize(myfunction)

A popular TypeError within Python is TypeError only length-1 arrays can be transformed to python scalar. You may see this error while working among NumPy plus Matplotlib libraries. This happens while the function that you hold defined or have built is expecting any single parameter yet gets an array rather. You can begin fixing this error by giving a unique value through the function.