I'm trying to fit a sinusoidal curve in CSV data to find the maximum of the curve. The data is of the like of
Time Voltage Current
0 -0.02500 -1.4 0.38
1 -0.02498 -1.6 0.32
2 -0.02496 -1.8 0.40
3 -0.02494 -1.4 0.44
4 -0.02492 -1.6 0.30
5 -0.02490 -2.0 0.40
6 -0.02488 -1.8 0.44
7 -0.02486 -1.4 0.32
8 -0.02484 -1.4 0.42
9 -0.02482 -1.6 0.46
10 -0.02480 -1.8 0.36
this is the code:
from numpy import sin
from scipy.optimize import curve_fit
from matplotlib import pyplot
# input and output variables
x, y = dfi["Time"], dfi["Voltage"]
# defining the function
def func(x, a, b, c, d):
return a * sin(b(x-c)) + d
# curve fit
popt, _ = curve_fit(func, x, y)
It gives me this error:
<ipython-input-20-f95822761dd9> in objective(x, a, b, c, d)
9 # defining the function
10 def objective(x, a, b, c, d):
---> 11 return a * sin(b(x-c)) + d
12
13 # curve fit
TypeError: 'numpy.float64' object is not callable
It's my first attempt at curve fitting and I don't understand the mistake.
