.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "auto_examples/plot_lowess.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code or to run this example in your browser via Binder. .. rst-class:: sphx-glr-example-title .. _sphx_glr_auto_examples_plot_lowess.py: LOWESS smoothing with optional bootstrap CIs ============================================ This example shows how to use :class:`seaborn_objects_recipes.Lowess` with and without bootstrap confidence intervals. .. GENERATED FROM PYTHON SOURCE LINES 8-43 .. code-block:: Python import seaborn as sns import seaborn.objects as so import seaborn_objects_recipes as sor # Use a small CI bootstrap for faster docs builds PENGUINS = sns.load_dataset("penguins").dropna(subset=["bill_length_mm", "body_mass_g"]) # --- With CI band -------------------------------------------------- ( so.Plot(PENGUINS, x="bill_length_mm", y="body_mass_g") .add(so.Dot(alpha=0.35)) .add(so.Line(), low := sor.Lowess(frac=0.3, gridsize=150, num_bootstrap=200, alpha=0.05)) .add(so.Band(), low) # uses ymin/ymax produced by the stat .label( title="LOWESS with 95% CI", x="Bill Length (mm)", y="Body Mass (g)", ) .plot() ) # --- Without CI band ------------------------------------------------ low2 = sor.Lowess(frac=0.3, gridsize=150) # no bootstraps → no band ( so.Plot(PENGUINS, x="bill_length_mm", y="body_mass_g") .add(so.Dot(alpha=0.35)) .add(so.Line(), low2) .label( title="LOWESS (no CI)", x="Bill Length (mm)", y="Body Mass (g)", ) .plot() ) .. _sphx_glr_download_auto_examples_plot_lowess.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: binder-badge .. image:: images/binder_badge_logo.svg :target: https://mybinder.org/v2/gh/oosei25/seaborn_objects_recipes/main?filepath=docs/tutorial/auto_examples/plot_lowess.ipynb :alt: Launch binder :width: 150 px .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_lowess.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_lowess.py ` .. container:: sphx-glr-download sphx-glr-download-zip :download:`Download zipped: plot_lowess.zip ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_