Curve Fitting | Python for mechanical engineer | Python Basic Tutorial | Non linear curve fitting

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Python is must for many mechanical engineer, Specially in research and development engineer. So here i will guide for basic mechanical engineering problem by python code. ANSYS Analysis. FEA Analysis. ANSYS python.

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from Wikipedia "Curve fitting[1][2] is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points,[3] possibly subject to constraints.[4][5] Curve fitting can involve either interpolation,[6][7] where an exact fit to the data is required, or smoothing,[8][9] in which a "smooth" function is constructed that approximately fits the data. A related topic is regression analysis,[10][11] which focuses more on questions of statistical inference such as how much uncertainty is present in a curve that is fit to data observed with random errors. Fitted curves can be used as an aid for data visualization,[12][13] to infer values of a function where no data are available,[14] and to summarize the relationships among two or more variables.[15] Extrapolation refers to the use of a fitted curve beyond the range of the observed data,[16] and is subject to a degree of uncertainty[17] since it may reflect the method used to construct the curve as much as it reflects the observed data."

import numpy as np

print(z)

print(p(1.2))

[arunkrishnan]

Really very nice sir.. good support for mechanical engineering