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2 changes: 1 addition & 1 deletion docs/src/content/docs/guides/matplotlib-import.md
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---
title: Matplotlib import support and roadmap
title: Matplotlib import
description: What Canvas.from_matplotlib imports from a Matplotlib figure today, and what is planned.
---

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2 changes: 1 addition & 1 deletion tutorials/tutorial_01.ipynb
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"id": "0",
"metadata": {},
"source": [
"# Tutorial 01 — Quick Start\n",
"# Quick start\n",
"\n",
"**maxplotlib** is a thin, expressive wrapper around Matplotlib that simplifies\n",
"creating publication-quality figures. Its central class, `Canvas`, replaces the\n",
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2 changes: 1 addition & 1 deletion tutorials/tutorial_02.ipynb
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"id": "0",
"metadata": {},
"source": [
"# Tutorial 02 — Multiple Subplots\n",
"# Multiple subplots\n",
"\n",
"This notebook shows all the ways to build multi-panel figures with maxplotlib:\n",
"\n",
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2 changes: 1 addition & 1 deletion tutorials/tutorial_03.ipynb
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"id": "0",
"metadata": {},
"source": [
"# Tutorial 03 — Plot Types\n",
"# Plot types\n",
"\n",
"maxplotlib exposes all common Matplotlib plot types through a unified API.\n",
"This notebook demonstrates each type individually, then shows how to combine\n",
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2 changes: 1 addition & 1 deletion tutorials/tutorial_04.ipynb
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"id": "0",
"metadata": {},
"source": [
"# Tutorial 04 – Styling\n",
"# Styling\n",
"\n",
"maxplotlib passes matplotlib kwargs directly to the underlying renderer, so every colour, linestyle, marker, and alpha option you know from matplotlib works here too."
]
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2 changes: 1 addition & 1 deletion tutorials/tutorial_05.ipynb
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"id": "0",
"metadata": {},
"source": [
"# Tutorial 05 – Axes, Ticks, Scales, and Annotations\n",
"# Axes and annotations\n",
"\n",
"This tutorial covers every way to control the coordinate frame of a subplot: labels, limits, tick marks, log scales, grids, legends, and annotations."
]
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2 changes: 1 addition & 1 deletion tutorials/tutorial_06.ipynb
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"id": "0",
"metadata": {},
"source": [
"# Tutorial 06 – Layers\n",
"# Layers\n",
"\n",
"**Layers** let you assign each piece of data to a numbered layer. You can then render a subset of layers — e.g. to reveal a derivation step by step, or to produce separate PDF overlays from a single source file."
]
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2 changes: 1 addition & 1 deletion tutorials/tutorial_07_tikz.ipynb
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"id": "0",
"metadata": {},
"source": [
"# Tutorial 07 — TikZ Backend\n",
"# TikZ backend\n",
"\n",
"**TikZ** is the de-facto standard for drawing in LaTeX documents. \n",
"maxplotlib can render your figures as native TikZ code via the `tikzfigure` backend,\n",
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2 changes: 1 addition & 1 deletion tutorials/tutorial_08_plotly.ipynb
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"id": "0",
"metadata": {},
"source": [
"# Tutorial 08 – Plotly Backend\n",
"# Plotly backend\n",
"\n",
"The **Plotly backend** renders your maxplotlib canvas as an interactive `plotly.graph_objects.Figure`. Unlike the default matplotlib output, Plotly figures:\n",
"\n",
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2 changes: 1 addition & 1 deletion tutorials/tutorial_09_plotext.ipynb
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"id": "0",
"metadata": {},
"source": [
"# Tutorial 09 - plotext Backend\n",
"# plotext backend\n",
"\n",
"The **plotext backend** renders a `maxplotlib` canvas directly in the terminal. That makes it a good fit for SSH sessions, CLI workflows, quick diagnostics, and situations where you want the same `Canvas` API without a GUI browser or desktop window.\n",
"\n",
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2 changes: 1 addition & 1 deletion tutorials/tutorial_10_matplotlib_nxm_spacing.ipynb
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"id": "0",
"metadata": {},
"source": [
"# Tutorial 10 - Matplotlib NxM Subplots and Spacing\n",
"# Subplot spacing\n",
"\n",
"This tutorial shows how to build **NxM subplot grids** with the matplotlib backend and control the distance between plots using `wspace=...` and `hspace=...`.\n",
"\n",
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2 changes: 1 addition & 1 deletion tutorials/tutorial_11_gantt_charts.ipynb
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"cell_type": "markdown",
"metadata": {},
"source": [
"# Tutorial 11: Gantt Charts\n",
"# Gantt charts\n",
"\n",
"This tutorial demonstrates how to create Gantt charts using maxplotlib across different backends.\n",
"\n",
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2 changes: 1 addition & 1 deletion tutorials/tutorial_12_flame_charts.ipynb
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"cell_type": "markdown",
"metadata": {},
"source": [
"# Tutorial 12: Flame Charts\n",
"# Flame charts\n",
"\n",
"This tutorial demonstrates how to create flame charts using maxplotlib across different backends.\n",
"\n",
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2 changes: 1 addition & 1 deletion tutorials/tutorial_13_advanced_matplotlib.ipynb
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"id": "0",
"metadata": {},
"source": [
"# Tutorial 13 – Advanced Matplotlib Plotting\n",
"# Advanced Matplotlib\n",
"\n",
"# Advanced Matplotlib plotting\n",
"\n",
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2 changes: 1 addition & 1 deletion tutorials/tutorial_14_axis_and_layout_controls.ipynb
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"id": "0",
"metadata": {},
"source": [
"# Tutorial 14 – Axis and layout controls\n",
"# Axis and layout\n",
"\n",
"This tutorial demonstrates the latest Matplotlib-style wrappers: filled polygons, logarithmic shortcuts, axis limits and autoscaling, secondary axes, box aspect, and explicit tick labels."
]
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2 changes: 1 addition & 1 deletion tutorials/tutorial_15_tikzfigure_subplots.ipynb
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"id": "0",
"metadata": {},
"source": [
"# Tutorial 15 - TikzFigure Subplots Tutorial\n",
"# TikzFigure subplots\n",
"\n",
"This tutorial demonstrates how to create subplots using the `tikzfigure` backend: side by side, stacked, or in a grid.\n",
"\n",
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2 changes: 1 addition & 1 deletion tutorials/tutorial_16_plotext_advanced.ipynb
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"id": "0",
"metadata": {},
"source": [
"# Tutorial 16 - Plotext Advanced Workflows\n",
"# Advanced plotext\n",
"\n",
"This tutorial focuses on practical terminal workflows that are easy to miss when moving from Matplotlib to the Plotext backend: layer-by-layer output, subplot dashboards, terminal-safe files, and backend limitations."
]
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2 changes: 1 addition & 1 deletion tutorials/tutorial_17_xarray.ipynb
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"id": "0",
"metadata": {},
"source": [
"# Tutorial 17 – Plotting xarray data\n",
"# xarray data\n",
"\n",
"maxplotlib understands labelled [xarray](https://docs.xarray.dev) data. Hand it a\n",
"`DataArray` and it takes the coordinates for the axes, builds axis labels from the\n",
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