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Make Jitter do something by default (#3066)
* Apply some jitter by default in Jitter * Add Jitter API examples and update release notes * Fix docstring
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "f2e5a85d-c710-492b-a4fc-09b45ae26471", | ||
"metadata": { | ||
"tags": [ | ||
"hide" | ||
] | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"import seaborn.objects as so\n", | ||
"from seaborn import load_dataset\n", | ||
"penguins = load_dataset(\"penguins\")" | ||
] | ||
}, | ||
{ | ||
"cell_type": "raw", | ||
"id": "14b5927c-42f1-4934-adee-3d380b8b3228", | ||
"metadata": {}, | ||
"source": [ | ||
"When used without any arguments, a small amount of jitter will be applied along the orientation axis:" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "bc1b4941-bbe6-4afc-b51a-0ac67cbe417d", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"(\n", | ||
" so.Plot(penguins, \"species\", \"body_mass_g\")\n", | ||
" .add(so.Dots(), so.Jitter())\n", | ||
")" | ||
] | ||
}, | ||
{ | ||
"cell_type": "raw", | ||
"id": "1101690e-6c19-4219-aa4e-180798454df1", | ||
"metadata": {}, | ||
"source": [ | ||
"The `width` parameter controls the amount of jitter relative to the spacing between the marks:" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "c4251b9d-8b11-4c2c-905c-2f3b523dee70", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"(\n", | ||
" so.Plot(penguins, \"species\", \"body_mass_g\")\n", | ||
" .add(so.Dots(), so.Jitter(.5))\n", | ||
")" | ||
] | ||
}, | ||
{ | ||
"cell_type": "raw", | ||
"id": "38aa639a-356e-4674-970b-53d55379b2b7", | ||
"metadata": {}, | ||
"source": [ | ||
"The `width` parameter always applies to the orientation axis, so the direction of jitter will adapt along with the orientation:" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "1cfe1c07-7e81-45a0-a989-240503046133", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"(\n", | ||
" so.Plot(penguins, \"body_mass_g\", \"species\")\n", | ||
" .add(so.Dots(), so.Jitter(.5))\n", | ||
")" | ||
] | ||
}, | ||
{ | ||
"cell_type": "raw", | ||
"id": "0f5de4cc-3383-4503-8b59-9c48230a12a5", | ||
"metadata": {}, | ||
"source": [ | ||
"Because the `width` jitter is relative, it can be used when the orientation axis is numeric without further tweaking:" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "c94c41e8-29c4-4439-a5d1-0b8ffb244890", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"(\n", | ||
" so.Plot(penguins[\"body_mass_g\"].round(-3), penguins[\"flipper_length_mm\"])\n", | ||
" .add(so.Dots(), so.Jitter())\n", | ||
")" | ||
] | ||
}, | ||
{ | ||
"cell_type": "raw", | ||
"id": "dd982dfa-fd9f-4edc-8190-18f0e101ae1a", | ||
"metadata": {}, | ||
"source": [ | ||
"In contrast to `width`, the `x` and `y` parameters always refer to specific axes and control the jitter in data units:" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "b0f2e5ca-68ad-4439-a4ee-f32f65682e95", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"(\n", | ||
" so.Plot(penguins[\"body_mass_g\"].round(-3), penguins[\"flipper_length_mm\"])\n", | ||
" .add(so.Dots(), so.Jitter(x=100))\n", | ||
")" | ||
] | ||
}, | ||
{ | ||
"cell_type": "raw", | ||
"id": "a90ba526-8043-42ed-8f57-36445c163c0d", | ||
"metadata": {}, | ||
"source": [ | ||
"Both `x` and `y` can be used in a single transform:" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "6c07ed1d-ac77-4b30-90a8-e1b8760f9fad", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"(\n", | ||
" so.Plot(\n", | ||
" penguins[\"body_mass_g\"].round(-3),\n", | ||
" penguins[\"flipper_length_mm\"].round(-1),\n", | ||
" )\n", | ||
" .add(so.Dots(), so.Jitter(x=200, y=5))\n", | ||
")" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "bb04c7a2-93f0-44cf-aacf-0eb436d0f14b", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "py310", | ||
"language": "python", | ||
"name": "py310" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 3 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython3", | ||
"version": "3.10.0" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 5 | ||
} |
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