I get the following error when trying to plot modelled data: ValueError: Length of passed values is-CodePudding

I am trying to plot observed and modelled data. This is an example of dataframe and below the code. I get this error #### ValueError: Length of passed values is 2, index implies 9####. I don't know how else to plot the modelled data.

all = [treatment1, treatment2]

 [    x     y   intercept 
0     25  0.171144     1.6
1     50  1.859164     1.6
2    100  4.407867     1.6
      x     y       intercept 
14    25  0.997440     1.3
15    50  1.823077     1.3  
16   100  4.412220     1.3]



def model(x, slope):
 return  (slope*x)   intercept 

def func_fit(x):
 return model(x,  
            popt)


from scipy.optimize import curve_fit

for g in all: #this loop allows to fit the model for each treatment

popt = curve_fit(model, g['x'], g['y'])

new_row = {'treatment':treatment, 'slope': popt[0], 'intercept':intercept}

results=results.append(new_row, ignore_index=True)

plt.plot(g['x'],  g['y'], '.', label='data')

plt.plot(g['x'], func_fit(g['x']), 'r-', tuple(popt)) # this is the line that gives the error. 

#### ValueError: Length of passed values is 2, index implies 9####

#I tried to overcome the error but what I get with these lines below is no line
#t= np.linspace(0,200,1)
#a = model(t,results.iloc[0,1])
#plt.plot(t, a, 'r') # plotting t, a separately

These are the observations and I would like to plot the modelled data as well:

CodePudding user response：

I assume you want to plot the function your model learned?
If this is the case here is a simple implementation using the code snippets from the