Fuzzy data generation, export and import data, performing curve fitting with curve_fit() and scipy.optimize.leastsq() 1. Generate a fuzzy data set for the function f(x) = exp Exp[-4 (=^)²], with known value for the parameters μ, o. √2TO 2. Export the fuzzy data to an external file 'templatedata2.csv' using either f.write(), csv.writer() or pandas DataFrame (suffice to choose one that works). 3. Read in templatedata2.csv using either f.readlines(), csv.reader() or pandas DataFrame(suffice to choose one that works). 4. Fit the data imported from templatedata 2.csv against the model function f(2)=√2 exp[-|(=^)²], for the parameters μ, o with. scipy.optimize.curve_fit(). 5. Repeat the fitting procedure (4) with scipy.optimize.leastsq().

Fuzzy data generation, export and import data, performing curve fitting with curve_fit() and scipy.optimize.leastsq() 1. Generate a fuzzy data set for the function f(x) = exp Exp[-4 (=^)²], with known value for the parameters μ, o. √2TO 2. Export the fuzzy data to an external file 'templatedata2.csv' using either f.write(), csv.writer() or pandas DataFrame (suffice to choose one that works). 3. Read in templatedata2.csv using either f.readlines(), csv.reader() or pandas DataFrame(suffice to choose one that works). 4. Fit the data imported from templatedata 2.csv against the model function f(2)=√2 exp[-|(=^)²], for the parameters μ, o with. scipy.optimize.curve_fit(). 5. Repeat the fitting procedure (4) with scipy.optimize.leastsq().

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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