pythonpython-3.xnumpypolynomials

Unable to Create Polynomial Features for regression using numpy.plyfit -- AttributeError: 'numpy.ndarray' object has no attribute 'to_numpy'

Excuse my ignorance I have never used polynomial regression with numpy before.

I am attempting to use the variable "CPU_frequency" to create Polynomial features. Using three different values of polynomial degrees.

import numpy

X = X.to_numpy().flatten()
f1 = np.polyfit(X, Y, 1)
p1 = np.poly1d(f1)

f3 = np.polyfit(X, Y, 3)
p3 = np.poly1d(f3)

f5 = np.polyfit(X, Y, 5)
p5 = np.poly1d(f5)

yields

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Cell In[74], line 3
      1 import numpy
----> 3 X = X.to_numpy().flatten()
      4 f1 = np.polyfit(X, Y, 1)
      5 p1 = np.poly1d(f1)

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

attempted change from X. to X._ no joy. reminded jupyter it was using numpy by calling import.

any help appreciated.

Solution

  • if you need to flatten you can directly use flatten() on numpy.ndarray object

    X = X.flatten()

    Link to doc: https://numpy.org/doc/stable/reference/generated/numpy.ndarray.flatten.html