[Python] How do I create a secondary axis based on on a complex conversion?

I am trying to create a secondary axis for my plot. I can get all of my lines to plot on the graph (y1 to y14) and all y values are in the same units. The conversion to a secondary unit is essentially "exp(y/7)." I struggled with this long enough to resort to chatgpt, which gave me the following after lengthy troubleshoointg:

def y_to_secondary(y):
return np.asarray(math.exp(np.asarray(y1)/(7)))

def secondary_to_y(secondary):
return 7*math.log(np.asarray(secondary))

secay = ax1.secondary_yaxis('right', functions=(y_to_secondary, secondary_to_y))


I continue to get the error: TypeError: only size-1 arrays can be converted to Python scalars

I am defining my original arrays as followed:

y1=[]
T1=[]
for a in range(2,1000):
y1.append(-7 + (2*a))


Any ideas how to fix the problem?

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