{
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"source": [
"### Plotting with Gadfly.jl\n",
"\n",
"* [GitHub Repository](https://github.com/GiovineItalia/Gadfly.jl)\n",
"* [Documentation](http://gadflyjl.org/stable/)"
]
},
{
"cell_type": "markdown",
"metadata": {
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"slide_type": "slide"
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},
"source": [
"## Imports"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
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},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"WARNING: Method definition describe(AbstractArray) in module StatsBase at /Users/mrestrep/.julia/v0.5/StatsBase/src/scalarstats.jl:573 overwritten in module DataFrames at /Users/mrestrep/.julia/v0.5/DataFrames/src/abstractdataframe/abstractdataframe.jl:407.\n"
]
}
],
"source": [
"using Gadfly\n",
"using DataFrames, RDatasets"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Basics\n",
"\n",
"## Simple line scatter\n",
"\n",
"* Pass data keyword arguments inputs"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
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"outputs": [
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"data": {
"image/svg+xml": [
"\n",
"\n"
],
"text/html": [
"\n",
"\n"
],
"text/plain": [
"Plot(...)"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"function linescatter()\n",
" x = [1, 2, 3, 4]\n",
" y = [10, 15, 13, 17]\n",
" plot(x=x,y=y, Geom.line)\n",
"end\n",
"linescatter()"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"### Customize and add multiple traces to one plot\n",
"\n",
"* Each trace is a layer with its own aesthetics\n",
"\n",
"**Challenge:** How to plot dashes?"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
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},
"outputs": [
{
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"image/svg+xml": [
"\n",
"\n"
],
"text/html": [
"\n",
"\n"
],
"text/plain": [
"Plot(...)"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"function multiple_scatter_traces()\n",
" x=1:4\n",
" l1 = layer(x = x, y = [10, 15, 13, 17], Geom.point)\n",
" l2 = layer(x = x, y = [16, 5, 11, 9], Geom.line)\n",
" l3 = layer(x = x, y = [12, 9, 15, 12], Geom.point, Geom.line)\n",
" l4 = layer(x = x, y = [5, 10, 8, 12], Geom.line)\n",
" plot(l1, l2, l3, l4)\n",
"end\n",
"multiple_scatter_traces()"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"### Data labels and Figure Layout\n",
"\n",
"* Add the array of labels as an attribute to each trace\n",
"* Layout modifies the \"Figure Pane Attributes\""
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"scrolled": true,
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"data": {
"image/svg+xml": [
"\n",
"\n"
],
"text/html": [
"\n",
"\n"
],
"text/plain": [
"Plot(...)"
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},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"function data_labels()\n",
" x = 1:5\n",
" y1 = [1, 6, 3, 6, 1]\n",
" y2 = [4, 1, 7, 1, 4]\n",
" y1_labels = [\"A-1\", \"A-2\", \"A-3\", \"A-4\", \"A-5\"]\n",
" y2_labels = [\"B-a\", \"B-b\", \"B-c\", \"B-d\", \"B-e\"]\n",
"\n",
" l1 = layer(x = x, y = y1, label=y1_labels, Geom.label, Geom.point)\n",
" l2 = layer(x = x, y = y2, label=y2_labels, Geom.label, Geom.point) \n",
" plot(l1,l2)\n",
"end\n",
"data_labels()"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"## Area"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": true,
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": [
"function area1()\n",
"end\n",
"area1()"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"## Other visual interpretations of Matrix Data and Subplots\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": true,
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": [
"function matrix_subplots()\n",
"\n",
"end\n",
"\n",
"matrix_subplots()"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"## Advanced Layouts\n"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": true,
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": [
"function advanced_layouts()\n",
"\n",
"end\n",
"advanced_layouts()"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"## Stats Plots"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": true,
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": [
"function grouped_bar_example()\n",
"\n",
"end\n",
"\n",
"grouped_bar_example()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [],
"source": [
"function stacked_bar_example()\n",
" \n",
"end\n",
"stacked_bar_example()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"scrolled": true,
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [],
"source": [
"function two_hists()\n",
"\n",
"end\n",
"\n",
"two_hists()"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"## Box (Whisker) Plots"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": true,
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": [
"function box_plot()\n",
" \n",
"end\n",
"box_plot()"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"### Using DataFrames\n"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"scrolled": true,
"slideshow": {
"slide_type": "-"
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"outputs": [
{
"data": {
"text/html": [
" | SepalLength | SepalWidth | PetalLength | PetalWidth | Species |
|---|
| 1 | 5.1 | 3.5 | 1.4 | 0.2 | setosa |
|---|
| 2 | 4.9 | 3.0 | 1.4 | 0.2 | setosa |
|---|
| 3 | 4.7 | 3.2 | 1.3 | 0.2 | setosa |
|---|
| 4 | 4.6 | 3.1 | 1.5 | 0.2 | setosa |
|---|
| 5 | 5.0 | 3.6 | 1.4 | 0.2 | setosa |
|---|
| 6 | 5.4 | 3.9 | 1.7 | 0.4 | setosa |
|---|
"
],
"text/plain": [
"6×5 DataFrames.DataFrame\n",
"│ Row │ SepalLength │ SepalWidth │ PetalLength │ PetalWidth │ Species │\n",
"├─────┼─────────────┼────────────┼─────────────┼────────────┼──────────┤\n",
"│ 1 │ 5.1 │ 3.5 │ 1.4 │ 0.2 │ \"setosa\" │\n",
"│ 2 │ 4.9 │ 3.0 │ 1.4 │ 0.2 │ \"setosa\" │\n",
"│ 3 │ 4.7 │ 3.2 │ 1.3 │ 0.2 │ \"setosa\" │\n",
"│ 4 │ 4.6 │ 3.1 │ 1.5 │ 0.2 │ \"setosa\" │\n",
"│ 5 │ 5.0 │ 3.6 │ 1.4 │ 0.2 │ \"setosa\" │\n",
"│ 6 │ 5.4 │ 3.9 │ 1.7 │ 0.4 │ \"setosa\" │"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"function data_frame_scatter()\n",
" iris = dataset(\"datasets\", \"iris\");\n",
" display(head(iris))\n",
"end\n",
"\n",
"data_frame_scatter()"
]
}
],
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