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Fix some typos, and cleared cell outputs.
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@WeatherGod
WeatherGod committed Jun 27, 2015
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63 changes: 20 additions & 43 deletions AnatomyOfMatplotlib-Part1-Figures_Subplots_and_layouts.ipynb
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"slide_type": "-"
}
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},
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"cell_type": "markdown",
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{
"output_type": "stream",
"stream": "stdout",
"text": [
"1.4.3\n",
"Qt4Agg\n"
]
}
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"\n",
"<img src=\"images/figure_axes_axis_labeled.png\">\n",
"\n",
"The ``Figure`` is the top-level container in this hirearchy. It's the overall window/page that everything is drawn on. You can have multiple independent figures, but they can't contain another figure. However, ``Figure``s can contain multiple ``Axes``. \n",
"The ``Figure`` is the top-level container in this hierarchy. It is the overall window/page that everything is drawn on. You can have multiple independent figures. However, ``Figure``s can contain multiple ``Axes``. \n",
"\n",
"Most plotting ocurs on an ``Axes``. The axes is effectively the area that we plot data on and any ticks/labels/etc associated with it. Usually we'll set up an axes with a call to ``subplot`` (which places axes on a regular grid), so in most cases we'll deal with here, ``Axes`` and ``Subplot`` are synonymous. We'll be heavily using ``Axes`` instances for plotting, etc, so you'll be seeing a lot of thse.\n",
"Most plotting ocurs on an ``Axes``. The axes is effectively the area that we plot data on and any ticks/labels/etc associated with it. Usually we'll set up an Axes with a call to ``subplot`` (which places Axes on a regular grid), so in most cases we'll deal with here, ``Axes`` and ``Subplot`` are synonymous. We'll be heavily using ``Axes`` instances for plotting, etc, so you'll be seeing a lot of these.\n",
"\n",
"Each ``Axes`` has an ``XAxis`` and a ``YAxis``. These contain the ticks, tick locations, labels, etc. In this tutorial, we'll mostly control ticks, tick labels, and data limits through other mechanisms, so we won't touch the individual ``Axis`` part of things much at all. However, it's worth mentioning here to explain where the term ``Axes`` comes from. Each ``Axes`` has two ``Axis`` instances.\n"
"Each ``Axes`` has an ``XAxis`` and a ``YAxis``. These contain the ticks, tick locations, labels, etc. In this tutorial, we'll mostly control ticks, tick labels, and data limits through other mechanisms, so we won't touch the individual ``Axis`` part of things much at all. However, it's worth mentioning here to explain where the term ``Axes`` comes from.\n"
]
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{
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],
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"source": [
"\n",
"Notice the call to ``set``. Matplotlib's objects typically have lots of \"explicit setters\" -- in other words, functions that start with ``set_<something>`` and control a particular option. (This dates from a time before Python's ``property``.) \n",
"Notice the call to ``set``. Matplotlib's objects typically have lots of \"explicit setters\" -- in other words, functions that start with ``set_<something>`` and control a particular option. \n",
"\n",
"To demonstrate this (and as an example of IPython's tab-completion), try typing `ax.set_` in a code cell, then hit the `<Tab>` key. You'll see a long list of `Axes` methods that start with `set`.\n",
"\n",
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],
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"\n",
"We'll be using that approach for the rest of the examples. It's much cleaner. \n",
"\n",
"However, keep in mind that we're still creating a figure and adding axes to it. We we start making plot layouts that can't be described by `subplots`, we'll go back to creating the figure first and then adding axes to it one-by-one."
"However, keep in mind that we're still creating a figure and adding axes to it. When we start making plot layouts that can't be described by `subplots`, we'll go back to creating the figure first and then adding axes to it one-by-one."
]
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{
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"metadata": {}
}
]
}
}
55 changes: 19 additions & 36 deletions AnatomyOfMatplotlib-Part2-Limits_Legends_and_Layouts.ipynb
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],
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"input": [
"fig, ax = plt.subplots(1, 1)\n",
"ax.bar([1, 2, 3, 4], [10, 20, 25, 30], label=\"Foobar\", align='center', color='lightblue')\n",
"ax.plot([1, 2, 3, 4], [10, 20, 25, 30], color='darkred', label=\"_nolegend_\", marker='o')\n",
"ax.plot([1, 2, 3, 4], [10, 20, 25, 30], label=\"_nolegend_\", marker='o', color='darkred')\n",
"ax.legend(loc='best')\n",
"plt.show()"
],
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}
2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -20,7 +20,7 @@ Cheers!

[Part 0: Introduction To NumPy]: http://nbviewer.ipython.org/github/WeatherGod/AnatomyOfMatplotlib/blob/master/AnatomyOfMatplotlib-Part0-Intro2NumPy.ipynb
[Part 1: Overview of Matplotlib]: http://nbviewer.ipython.org/github/WeatherGod/AnatomyOfMatplotlib/blob/master/AnatomyOfMatplotlib-Part1-Figures_Subplots_and_layouts.ipynb
[Part 2: Limits, Legends and Layouts]: http://nbviewer.ipython.org/github/WeatherGod/AnatomyOfMatplotlib/blob/master/AnatomyOfMatplotlib-Part2-Limits_Legends_and_Layouts.ipynb
[Part 2: Limits, Legends, and Layouts]: http://nbviewer.ipython.org/github/WeatherGod/AnatomyOfMatplotlib/blob/master/AnatomyOfMatplotlib-Part2-Limits_Legends_and_Layouts.ipynb
[Part 3: How To Speak MPL]: http://nbviewer.ipython.org/github/WeatherGod/AnatomyOfMatplotlib/blob/master/AnatomyOfMatplotlib-Part3-HowToSpeakMPL.ipynb
[Part 4: Artists]: http://nbviewer.ipython.org/github/WeatherGod/AnatomyOfMatplotlib/blob/master/AnatomyOfMatplotlib-Part4-Artists.ipynb
[Part 5: mpl_toolkits]: http://nbviewer.ipython.org/github/WeatherGod/AnatomyOfMatplotlib/blob/master/AnatomyOfMatplotlib-Part5-mpl_toolkits.ipynb

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