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Updated the categorical example #23

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Updated the categorical example #23

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115 changes: 46 additions & 69 deletions AnatomyOfMatplotlib-Part4-Limits_Legends_and_Layouts.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -3,9 +3,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"from __future__ import print_function\n",
Expand Down Expand Up @@ -38,9 +36,7 @@
{
"cell_type": "code",
"execution_count": null,
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"source": [
"fig, (ax1, ax2) = plt.subplots(nrows=1, ncols=2, figsize=plt.figaspect(0.5))\n",
Expand All @@ -65,9 +61,7 @@
{
"cell_type": "code",
"execution_count": null,
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"metadata": {},
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"source": [
"fig, (ax1, ax2) = plt.subplots(1, 2, figsize=plt.figaspect(0.5))\n",
Expand Down Expand Up @@ -108,9 +102,7 @@
{
"cell_type": "code",
"execution_count": null,
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"source": [
"fig, axes = plt.subplots(nrows=3)\n",
Expand Down Expand Up @@ -141,9 +133,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
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"metadata": {},
"outputs": [],
"source": [
"# Good -- setting limits after plotting is done\n",
Expand All @@ -158,9 +148,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
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"metadata": {},
"outputs": [],
"source": [
"# Bad -- Setting limits before plotting is done\n",
Expand All @@ -186,9 +174,7 @@
{
"cell_type": "code",
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"source": [
"fig, ax = plt.subplots()\n",
Expand All @@ -213,9 +199,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
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"metadata": {},
"outputs": [],
"source": [
"fig, ax = plt.subplots(1, 1)\n",
Expand All @@ -241,20 +225,33 @@
{
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"source": [
"%load exercises/4.1-legends_and_scaling.py"
"# %load exercises/4.1-legends_and_scaling.py\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"\n",
"plt.style.use('classic')\n",
"\n",
"# Try to reproduce the figure shown in images/exercise_4-1.png\n",
"# Here's the data and colors used.\n",
"\n",
"t = np.linspace(0, 2 * np.pi, 150)\n",
"x1, y1 = np.cos(t), np.sin(t)\n",
"x2, y2 = 2 * x1, 2 * y1\n",
"\n",
"colors = ['darkred', 'darkgreen']\n",
"\n",
"# Try to plot the two circles, scale the axes as shown and add a legend\n",
"# Hint: it's easiest to combine `ax.axis(...)` and `ax.margins(...)` to scale\n",
"# the axes\n"
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for example, this shouldn't be here

]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
Expand Down Expand Up @@ -294,9 +291,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"fig, ax = plt.subplots()\n",
Expand All @@ -315,28 +310,24 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"A commonly-asked question is \"How do I plot non-numerical categories?\"\n",
"A commonly-asked question is \"How do I plot categories?\"\n",
" \n",
"Currently, the easiest way to do this is to \"fake\" the x-values and then change the tick labels to reflect the category.\n",
"Starting in version 2.0, just like any other data. \n",
"\n",
"For example:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
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},
"metadata": {},
"outputs": [],
"source": [
"data = [('apples', 2), ('oranges', 3), ('peaches', 1)]\n",
"fruit, value = zip(*data)\n",
"\n",
"fig, ax = plt.subplots()\n",
"x = np.arange(len(fruit))\n",
"ax.bar(x, value, align='center', color='gray')\n",
"ax.set(xticks=x, xticklabels=fruit)\n",
"ax.bar(fruit, value, align='center', color='gray')\n",
"plt.show()"
]
},
Expand All @@ -351,9 +342,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"fig, axes = plt.subplots(2, 2, figsize=(9, 9))\n",
Expand All @@ -377,9 +366,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"def example_plot(ax):\n",
Expand Down Expand Up @@ -419,9 +406,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"fig, (ax1, ax2) = plt.subplots(1, 2, sharex=True, sharey=True)\n",
Expand All @@ -441,9 +426,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"fig, ax1 = plt.subplots(1, 1)\n",
Expand All @@ -466,9 +449,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"fig, ax = plt.subplots()\n",
Expand Down Expand Up @@ -516,9 +497,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"%load exercises/4.2-spines_ticks_and_subplot_spacing.py"
Expand All @@ -527,9 +506,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt\n",
Expand All @@ -546,23 +523,23 @@
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"display_name": "Python 3",
"language": "python",
"name": "python2"
"name": "python3"
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"codemirror_mode": {
"name": "ipython",
"version": 2
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"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
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