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@jakevdp
Last active February 14, 2024 18:00
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Example of a categorical color map in matplotlib
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{
"metadata": {
"name": "",
"signature": "sha256:484a4edbc595fe7d55b3095caabedfa001cf1e09853fc59cf43a349d745eaee1"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Custom Discrete Colorbars"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"*Jake VanderPlas*\n",
"\n",
"This is a quick recipe showing how to create custom discrete colorbars in matplotlib."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%matplotlib inline\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"from sklearn.datasets import load_iris"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"iris = load_iris()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"If you use the default colorbar settings to show this data, it's not so nice:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"plt.scatter(iris.data[:, 0], iris.data[:, 1],\n",
" c=iris.target, s=30)\n",
"plt.colorbar();"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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IDW0IbEXJ5QPKZoSttGsXWuq6uLq60rlzFzSandlar2O3H6dv376lro/EufTp2ZPtGk3W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\nfPv23PDzz9zuOs4DZtSpw+JVq+jWrVtNdq3SmKZ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"text": [
"<matplotlib.figure.Figure at 0x1078a4a50>"
]
}
],
"prompt_number": 3
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Instead we can use a discrete colormap, and manually adjust the ticks and the formatter:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# use plt.cm.get_cmap(cmap, N) to get an N-bin version of cmap\n",
"plt.scatter(iris.data[:, 0], iris.data[:, 1], s=30,\n",
" c=iris.target, cmap=plt.cm.get_cmap('Greens', 3))\n",
"\n",
"# This function formatter will replace integers with target names\n",
"formatter = plt.FuncFormatter(lambda val, loc: iris.target_names[val])\n",
"\n",
"# We must be sure to specify the ticks matching our target names\n",
"plt.colorbar(ticks=[0, 1, 2], format=formatter);\n",
"\n",
"# Set the clim so that labels are centered on each block\n",
"plt.clim(-0.5, 2.5)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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lypVXvzgbZs6cCcXMlIAPoK+CstZcvXr1P7ctSW/gO6D5G7zOC+Wi2FwhR/q5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\nQgghhBBCCCGEEEIIIYQQQgghrPd/r+pPKrNML+wAAAAASUVORK5CYII=\n",
"text": [
"<matplotlib.figure.Figure at 0x107b53090>"
]
}
],
"prompt_number": 4
}
],
"metadata": {}
}
]
}
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