Posted on 29th April 2025|8391 views
When will you face the error called only length-1 arrays can be converted to Python scalars?
Posted on 29th April 2025| views
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.
Posted on 29th April 2025| views
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)