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Update nextgen docs
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mwaskom committed Jul 14, 2022
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3 changes: 3 additions & 0 deletions doc/nextgen/api.rst
Original file line number Diff line number Diff line change
Expand Up @@ -22,6 +22,8 @@ Plot interface
Plot.facet
Plot.pair
Plot.configure
Plot.limit
Plot.label
Plot.on
Plot.plot
Plot.save
Expand All @@ -36,6 +38,7 @@ Marks

Area
Bar
Bars
Dot
Line
Lines
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11 changes: 8 additions & 3 deletions doc/nextgen/conf.py
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Expand Up @@ -61,14 +61,16 @@

html_theme_options = {
"show_prev_next": False,
"page_sidebar_items": [],
# "page_sidebar_items": [],
}

html_context = {
# other contexts
"default_mode": "light"
}

html_show_sourcelink = False

# Add any paths that contain custom static files (such as style sheets) here,
# relative to this directory. They are copied after the builtin static files,
# so a file named "default.css" will overwrite the builtin "default.css".
Expand All @@ -77,10 +79,13 @@
html_logo = "_static/logo.svg"

html_sidebars = {
# "**": [],
"demo": ["page-toc"]
"index": [],
"demo": ["page-toc.html"],
}

html_context= {
"default_mode": "light",
}

# -- Intersphinx ------------------------------------------------

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32 changes: 30 additions & 2 deletions doc/nextgen/demo.ipynb
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Expand Up @@ -637,7 +637,7 @@
"metadata": {},
"outputs": [],
"source": [
"so.Plot(planets, x=\"distance\").add(so.Bar(), so.Hist()).scale(x=\"log\")"
"so.Plot(planets, x=\"distance\").add(so.Bars(), so.Hist()).scale(x=\"log\")"
]
},
{
Expand All @@ -660,7 +660,7 @@
" planets, x=\"distance\",\n",
" color=(planets[\"number\"] > 1).rename(\"multiple\")\n",
" )\n",
" .add(so.Bar(), so.Hist(), so.Dodge())\n",
" .add(so.Bars(), so.Hist(), so.Dodge())\n",
" .scale(x=\"log\", color=so.Nominal())\n",
")"
]
Expand Down Expand Up @@ -821,6 +821,34 @@
"Importantly, there's no distinction between \"axes-level\" and \"figure-level\" here. Any kind of plot can be faceted or paired by adding a method call to the `Plot` definition, without changing anything else about how you are creating the figure."
]
},
{
"cell_type": "markdown",
"id": "9933b5fa-5b1a-4e05-a4d3-b2142e5337ef",
"metadata": {},
"source": [
"------\n",
"\n",
"## Customization\n",
"\n",
"This API is less developed than other aspects of the new interface, but it will be possible to customize various aspects of the plot through the seaborn interface, without dropping down to matplotlib:"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "61c2e0e2-1df5-466d-a17e-0bc64d21f9f9",
"metadata": {},
"outputs": [],
"source": [
"(\n",
" so.Plot(tips, \"day\", \"total_bill\", color=\"sex\")\n",
" .add(so.Bar(), so.Agg(), so.Dodge())\n",
" .scale(y=so.Continuous().label(like=\"${x:.0f}\"))\n",
" .label(x=str.capitalize, y=\"Total bill\", color=None)\n",
" .limit(y=(0, 28))\n",
")"
]
},
{
"cell_type": "markdown",
"id": "d1eff6ab-84dd-4b32-9923-3d29fb43a209",
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22 changes: 15 additions & 7 deletions doc/nextgen/index.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -40,13 +40,21 @@
"id": "c76dbb00-20ee-4508-bca3-76a4763e5640",
"metadata": {},
"source": [
"## Testing the alpha release\n",
"## Testing the pre-release\n",
"\n",
"If you're interested, please install the alpha and kick the tires. It is very far from complete, so expect some rough edges and instability! But feedback will be very helpful in pushing this towards a more stable broad release:\n",
"If you're interested, please install the pre-release and kick the tires. It is still a work in progress, so expect some rough edges and instability! But feedback will be very helpful in pushing this towards a more stable broad release:\n",
"\n",
" pip install https://github.com/mwaskom/seaborn/archive/refs/tags/v0.12.0a0.tar.gz\n",
" pip install --pre seaborn"
]
},
{
"cell_type": "markdown",
"id": "f194cc12-856a-4261-8717-462c290c9e51",
"metadata": {},
"source": [
"## Preview components\n",
"\n",
"The documentation is still a work in progress, but there's a reasonably thorough demo of the main parts, and some basic API documentation for the existing classes."
"The formal documentation is still a work-in-progress, so this preview serves as an introduction and reference for testing. There's a reasonably thorough demo of the main components and some basic API documentation for the existing classes:"
]
},
{
Expand All @@ -57,8 +65,8 @@
".. toctree::\n",
" :maxdepth: 1\n",
"\n",
" demo\n",
" api"
" Demonstration <demo>\n",
" API Overview <api>"
]
},
{
Expand All @@ -76,7 +84,7 @@
"\n",
"So the new interface is designed to provide a more comprehensive experience, such that all of the steps involved in the creation of a reasonably-customized plot can be accomplished in the same way. And the compositional nature of the objects provides much more flexibility than currently exists in seaborn with a similar level of abstraction: this lets you focus on *what* you want to show rather than *how* to show it.\n",
"\n",
"One will note that the result looks a bit (a lot?) like ggplot. That's not unintentional, but the goal is also *not* to \"port ggplot2 to Python\". (If that's what you're looking for, check out the very nice [plotnine](https://plotnine.readthedocs.io/en/stable/) package). There is an immense amount of wisdom in the grammar of graphics and in its particular implementation as ggplot2. But, as languages, R and Python are just too different for idioms from one to feel natural when translated literally into the other. So while I have taken much inspiration from ggplot (along with vega-lite, d3, and other great libraries), I've also made plenty of choices differently, for better or for worse."
"One will note that the result looks a bit (a lot?) like ggplot. That's not unintentional: while the original seaborn interface was never explicitly intended to implement a grammar of graphics, the redesign is. But the goal is also *not* to \"port ggplot2 to Python\". (If that's what you're looking for, check out the very nice [plotnine](https://plotnine.readthedocs.io/en/stable/) package). I do think that ggplot2 gets a lot right, especially its approach to layering. But, as languages, R and Python are just too different for idioms from one to feel natural when translated literally into the other. So while I have taken much inspiration from ggplot (along with vega-lite, d3, and other great libraries), I've also made plenty of choices differently, for better or for worse."
]
},
{
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49 changes: 27 additions & 22 deletions doc/nextgen/index.rst
Original file line number Diff line number Diff line change
Expand Up @@ -37,27 +37,31 @@ with the new interface:



Testing the alpha release
-------------------------
Testing the pre-release
-----------------------

If you’re interested, please install the alpha and kick the tires. It is
very far from complete, so expect some rough edges and instability! But
feedback will be very helpful in pushing this towards a more stable
broad release:
If you’re interested, please install the pre-release and kick the tires.
It is still a work in progress, so expect some rough edges and
instability! But feedback will be very helpful in pushing this towards a
more stable broad release:

::

pip install https://github.com/mwaskom/seaborn/archive/refs/tags/v0.12.0a0.tar.gz
pip install --pre seaborn

The documentation is still a work in progress, but there’s a reasonably
thorough demo of the main parts, and some basic API documentation for
the existing classes.
Preview components
------------------

The formal documentation is still a work-in-progress, so this preview
serves as an introduction and reference for testing. There’s a
reasonably thorough demo of the main components and some basic API
documentation for the existing classes:

.. toctree::
:maxdepth: 1

demo
api
Demonstration <demo>
API Overview <api>

Background and goals
--------------------
Expand Down Expand Up @@ -91,14 +95,15 @@ currently exists in seaborn with a similar level of abstraction: this
lets you focus on *what* you want to show rather than *how* to show it.

One will note that the result looks a bit (a lot?) like ggplot. That’s
not unintentional, but the goal is also *not* to “port ggplot2 to
Python”. (If that’s what you’re looking for, check out the very nice
`plotnine <https://plotnine.readthedocs.io/en/stable/>`__ package).
There is an immense amount of wisdom in the grammar of graphics and in
its particular implementation as ggplot2. But, as languages, R and
Python are just too different for idioms from one to feel natural when
translated literally into the other. So while I have taken much
inspiration from ggplot (along with vega-lite, d3, and other great
libraries), I’ve also made plenty of choices differently, for better or
for worse.
not unintentional: while the original seaborn interface was never
explicitly intended to implement a grammar of graphics, the redesign is.
But the goal is also *not* to “port ggplot2 to Python”. (If that’s what
you’re looking for, check out the very nice
`plotnine <https://plotnine.readthedocs.io/en/stable/>`__ package). I do
think that ggplot2 gets a lot right, especially its approach to
layering. But, as languages, R and Python are just too different for
idioms from one to feel natural when translated literally into the
other. So while I have taken much inspiration from ggplot (along with
vega-lite, d3, and other great libraries), I’ve also made plenty of
choices differently, for better or for worse.

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