[Solved] What is the issue with this custom model function when used with curve_fit? def model(x, a, b): return a * x + b xdata = [0, 1, 2] ydata = [1, 3, 5] popt, pcov = curve_fit(model, xdata, ydata, p0=[1]) | SciPy

SciPy - Curve Fitting and Regression

What is the issue with this custom model function when used with curve_fit?

def model(x, a, b):
    return a * x + b

xdata = [0, 1, 2]
ydata = [1, 3, 5]

popt, pcov = curve_fit(model, xdata, ydata, p0=[1])

AInput data <code>xdata</code> must be a numpy array, not a list

BModel function must return a list, not a scalar

CInitial guess <code>p0</code> length does not match number of parameters

DModel function parameters should be keyword arguments

Step-by-Step Solution

Solution:

Step 1: Check model function parameters
The model has two parameters: a and b.
Step 2: Verify p0 length
The initial guess p0 has only one value, which does not match the two parameters.
Final Answer:
Initial guess p0 length does not match number of parameters -> Option C
Quick Check:
p0 length must equal parameter count [OK]

Quick Trick: Match p0 length to model parameters count [OK]

Common Mistakes:

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What is the issue with this custom model function when used with curve_fit?