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Simple example of using interactive colormap widgets with seaborn.heatmap and seaborn.jointplot
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"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Simple demonstration of interactive color palette widgets"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This demos a few features that are currently in the [development version of seaborn](http://stanford.edu/~mwaskom/software/seaborn-dev/) and will soon be in the 0.5 release."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%matplotlib inline"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import seaborn as sns"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"sns.set_context(\"talk\", rc={\"figure.figsize\": (12, 9)})"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 32
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Load the intrinsic cortical connecitivty data and compute a correlation matrix"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"networks = sns.load_dataset(\"brain_networks\", header=[0, 1, 2], index_col=0)\n",
"corrmap = networks.iloc[:, :30].corr()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 3
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Load a widget to interactively choose a diverging colormap (good for correlation data)"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"cmap = sns.choose_diverging_palette(as_cmap=True)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAgQAAABGCAYAAACzDYzYAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
"text": [
"<matplotlib.figure.Figure at 0x11ff64190>"
]
}
],
"prompt_number": 37
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Plot the correlation matrix as a heatmap"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"sns.heatmap(corrmap, square=True, linewidths=1, cmap=cmap);"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
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JLCIiInIgq0qV/5UHMzsYqAN+CnQFfgA8YmadcpTvBvysJJegFEFEREREZL83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\nAAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x11fd1f750>"
]
}
],
"prompt_number": 42
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now you can go back and tweak the parameters of the colormap (without rerunning that cell), then rerun the cell with the headmap to see the new colormap in action."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"----"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's try a different visualization and a correspondingly different colormap."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"sns.set_style(\"white\")"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 63
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"cmap = sns.choose_cubehelix_palette(as_cmap=True)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAgQAAABGCAYAAACzDYzYAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAACIIAAAkvwEU1pZWk5mokcAAAAASUVORK5CYII=\n",
"text": [
"<matplotlib.figure.Figure at 0x125dc3e50>"
]
}
],
"prompt_number": 61
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"sns.jointplot(networks.loc[:, (\"7\", \"1\", \"lh\")],\n",
" networks.loc[:, (\"7\", \"1\", \"rh\")],\n",
" kind=\"hex\", color=cmap(.4),\n",
" joint_kws=dict(cmap=(cmap)));"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 77,
"text": [
"<seaborn.axisgrid.JointGrid at 0x1288a57d0>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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OgqX5UZpSTZNm77N+umm72mFjkCPvBRyslYhaKoRs8XPkPR+nS4WUKE14vjLH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"text": [
"<matplotlib.figure.Figure at 0x1276ace90>"
]
}
],
"prompt_number": 77
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
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