Answer Happy

Please kindly help with a Python code to calculate and print acolumn of the Associated Legendre polynomials,Pml , from the table ofvalues for m and l below, at x = 0. My code does notseem to be working correctly.
In [ ]: N In [266]: In [267]: In [268]: In [269]: ASSOC.LEGENDRE polynomial In [270]: import math from scipy.special import 1pmv #matplotlib notebook 1s (tips ['1_value']). ms = np.abs (tips ['m_value']) ► 1=1s m=ms x = 0 #plt.figure (figsize=(8,8)) p_m1 = 1pmv (m, 1,x) Not ImplementedError ~\AppData\Local\Temp/ipykernel_18184/165857849.py 1 #plt.figure(figsize=(8,8)) 2 p_m1 = 1pmv (m, 1,x) ~\anaconda3\lib\site-packages\pandas\core\generic.py in _array_ufunc_(self, ufunc, method, *inputs, **kwargs) self, ufunc: np. ufunc, method: str, *inputs: Any, **kwargs: Any return arraylike.array_ufunc(self, ufunc, method, *inputs, **kwargs) #ideally we would define this to avoid the getattr checks, but ~\anaconda3\lib\site-packages\pandas\core\arraylike.py in array_ufunc(self, ufunc, method, *inputs, **kwargs) # well. Previously this raised an internal ValueError. We might # support it someday, so raise a Not ImplementedError. raise NotImplementedError( 2030 2031 -> 2032 2033 2034 290 291 Traceback (most recent call last) in --> 292 293 294 ): "Cannot apply ufunc {} to mixed DataFrame and Series " "inputs.".format(ufunc) Not ImplementedError: Cannot apply ufunc to mixed DataFrame and Series inputs.