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LMFIT

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Fit with Data in a pandas DataFrame

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Examples gallery¶

Below are examples of the different things you can do with lmfit. Click on any image to see the complete source code and output.

We encourage users (i.e., YOU) to submit user-guide-style, documented, and preferably self-contained examples of how you use lmfit for inclusion in this gallery! Please note that many of the examples below currently do not follow these guidelines yet.

Fit with Data in a pandas DataFrame

Fit with Data in a pandas DataFrame¶

Using an ExpressionModel

Using an ExpressionModel¶

Fit Using Inequality Constraint

Fit Using Inequality Constraint¶

Fit Using differential_evolution Algorithm

Fit Using differential_evolution Algorithm¶

Fit Using Bounds

Fit Using Bounds¶

Fit Specifying Different Reduce Function

Fit Specifying Different Reduce Function¶

Building a lmfit model with SymPy

Building a lmfit model with SymPy¶

Fit with Algebraic Constraint

Fit with Algebraic Constraint¶

Fit Multiple Data Sets

Fit Multiple Data Sets¶

Fit using the Model interface

Fit using the Model interface¶

Fit Specifying a Function to Compute the Jacobian

Fit Specifying a Function to Compute the Jacobian¶

Outlier detection via leave-one-out

Outlier detection via leave-one-out¶

Emcee and the Model Interface

Emcee and the Model Interface¶

Complex Resonator Model

Complex Resonator Model¶

Model Selection using lmfit and emcee

Model Selection using lmfit and emcee¶

Calculate Confidence Intervals

Calculate Confidence Intervals¶

Fit Two Dimensional Peaks

Fit Two Dimensional Peaks¶

Global minimization using the ``brute`` method (a.k.a. grid search)

Global minimization using the brute method (a.k.a. grid search)¶

Download all examples in Python source code: examples_python.zip

Download all examples in Jupyter notebooks: examples_jupyter.zip

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Navigation

  • index
  • next |
  • previous |
  • [ intro |
  • parameters |
  • minimize |
  • model |
  • built-in models |
  • confidence intervals |
  • bounds |
  • constraints ]
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