Curve Fit with Excel and Python

[josemanuelvalladares]

Hi, maybe this is a basic question but it is one I have struggled finding the answer. I have a random set of values and calculate the fitting parameters mu and std using scipy.stats.norm.fit. I wanted to see what was the difference if I would normally calculate the mean and standard deviation using numpy. To my surprise every time I plotted both pdf and printed the means and std I got from both methods I always get the same exact values so what is the point of norm.fit?


Maybe there is something really obvious Im not seeing.

[samcoleman]

I am trying to solve a similar problem in my work (apply a curve fit model to compute the optimised parameter values), but I am using parameters taken from an Excel file. I'm wanting to adapt your suggestion (which is very useful, by the way) to my work, but I receive an error.

temp = df2['Temperature'].values
growth = df2['Growth rate'].values

def boatman(self, temp, max_growth_rate, min_temp_limit, max_temp_limit, skewness, kurtosis):
return max_temp_limit * (np.sin(np.pi*((temp -

params = [1, 14, 34, 1, 0.5]
c, cov = curve_fit(boatman, temp, growth, params)

print(c)

TypeError: boatman() missing 1 required positional argument: 'kurtosis'

Is there any way I can make this work?

[anestistziamtzis]

Why the values for p0 are [100, 0.01, 100, 0.01] and not something else? Also why affect the fitted curve that much if they are initial guesses?

[JimWright]

Since these functions are already available in xl, what is the advantage of using python?

[brennanbugbee]

scipy.stats.pearsonr(x, y) also available for R^2

[asifnizamani]

dear professor can you know any kalman filter library which give estimation result after putting A matrix=[[1, 0, dt, 0], [0, 1, 0, dt], [0, 0, 1, 0], [0, 0, 0, 1]], and same way control matrix input matrix estimation process noise, measurement noise and after measurement [x, y] and estimation the position

[syuhada]

hi! how do we add error if we have 0.5 error for each y data points? thankyou!

[donovanadesoro]

Awesome video. Very clear and to the point. Thanks!

[asifnizamani]

sir professor one of the libarary of python in pykalman which written by daniel duckworth sir on their what is transition_offsets, and observation_offsets

[musafir]

helo sir!i am learning a lot from your channel ragarding matlab.plz makes some videos on creating GUI in matlab.