[Python] Cannot cast array data from dtype('O') to dtype('float64') according to the rule 'safe'
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[Python] Cannot cast array data from dtype('O') to dtype('float64') according to the rule 'safe'


Phenomenon


A title error occurs when trying to fit with the least squares method in the leastsq of spicy.optimize.


from scipy import optimize
import numpy as np
    
def internalFunc1(x, plist):
    
    a=plist[0]
    b=plist[1]
    
    return a*x**2+b
    
def myFunc(x, param):
    
    a=param[0]
    b=param[1]       
      
    return a*x+internalFunc1(x, b)
def fit(param, x, y):
    
    def residual(param, x, y):
        return y-myFunc(x, param)
        
    result=optimize.leastsq(residual, param, args=(x, y))   
    return result
x=np.linspace(0, 10, 101)
y=np.random.randint(0, 10, 101)
param0=[1, [2, 3]]

fit(param0, x, y)
TypeError: Cannot cast array data from dtype('O') to dtype('float64') according to the rule 'safe'


Cause and Solution


List is included in the parameter of leastsq. The error disappeared when I corrected it as follows.


def myFunc(x, param):
    
    a=param[0]
    b=param[1:]       
      
    return a*x+internalFunc1(x, b)
x=np.linspace(0, 10, 101)
y=np.random.randint(0, 10, 101)
param0=[1, 2, 3]

fit(param0, x, y)


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