Skip to main content

Tool for fitting lines to data

Project description

fit_plot

  • Fit data with a straight line chosen by clicking points on a plot.

Requires: ipympl

To use:

  import fit_plot
  %matplotlib widget
  
  fit_plots.line(unique_name, xdata, ydata, yerr, chi2=False, input_boxes=True, render_to_html=False)

  or

  fit_plots.with_background(unique_name, xdata, ydata, yerr,chi2=False, input_boxes=True, render_to_html=False)

where xdata, ydata and yerr must be numpy arrays of at least two points.

Click in the data portion of the figure to set a point for the fit line. Whichever point you click closer to will move to the new position.

For with_background(), a background value can be set: choose the Floor radio button, then click at the desired level of background.

If chi2 == True, a chi-squared value will be calulated and displayed.

If input_boxes == True (default) boxes are displayed so that the slope, intercept, and "floor" values may be entered manually.

If render_to_html == True, then a static page is rendered.

Caveats:

  1. if you change the unique name, the fit parameters will be lost.

  2. fit parameters are stored in hidden files and won't travel if the notebook is renamed or moved to another directory.

  3. any plots made after using one of these functions should start with plt.figure()

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fit_plot-0.1.14.tar.gz (22.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

fit_plot-0.1.14-py3-none-any.whl (22.9 kB view details)

Uploaded Python 3

File details

Details for the file fit_plot-0.1.14.tar.gz.

File metadata

  • Download URL: fit_plot-0.1.14.tar.gz
  • Upload date:
  • Size: 22.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.1

File hashes

Hashes for fit_plot-0.1.14.tar.gz
Algorithm Hash digest
SHA256 d52dbc58095c8b8a5f8313dfcd9605f156134882c72088fb329aefaa0636afef
MD5 7c6b0905cd3aa655b4c498c333d325b4
BLAKE2b-256 3bc5cbacc544c439d09a12faec89b677f5e20a9427e166a03851d41802e30c7f

See more details on using hashes here.

File details

Details for the file fit_plot-0.1.14-py3-none-any.whl.

File metadata

  • Download URL: fit_plot-0.1.14-py3-none-any.whl
  • Upload date:
  • Size: 22.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.1

File hashes

Hashes for fit_plot-0.1.14-py3-none-any.whl
Algorithm Hash digest
SHA256 b8e2acacc88dc83b6afbeb350556df8497c4ffb07a5d7bee8bddfb84770b9168
MD5 cca96b3743d419f24312605b4adbdf01
BLAKE2b-256 94507f63c9e5a381c841dc58574ebccd005222544599fb08d70abb0bf812d4ac

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page