How to use SciPy to curve fit in Python || Python for Engineers

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Packages required:
Matplotlib
Scipy
Numpy

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This is a fine video. Maybe not only one you'd like to watch for curve_fit but it shows you how to think of linear fit

_Noolan_
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referring to: 4:00. What is at the other indices of "constants"? For example, what does "constants[1]" and "constants[2]" return?

benlaroche
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Thank you so much! You don't know how much you had helped me there

hp
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Hey, Very nice video and easy to understand. My Question: Is there a function that would give me the Mean Average Error of the function regarding to my Dataset?

TheRavemaster
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6:10 so how can you get the formula of that trend-line? The a and b are obviously not the ones in ax+b, so how do I get this formula?

arisoda
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Is there a method to fit my data ponts with the curve of best fit? That is I do not want to define my function, but let the method handle it? I just want the equation of the best fitting curve.

rohitborooah
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Thank you so much for posting this. Ques: The curve_fit function returns the covariances between the parameters (coefficients for x and the intercept, etc) If there is a high covariance between the parameters what does this tell us? Is this bad? If so why? thanx!

tonycardinal
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Thank you very much .a good understanding

laltugazi