Skip to content

Instantly share code, notes, and snippets.

@michaelmalak
Created August 20, 2013 23:04
Show Gist options
  • Save michaelmalak/6288461 to your computer and use it in GitHub Desktop.
Save michaelmalak/6288461 to your computer and use it in GitHub Desktop.
Solving x axis overprinting on Pandas/Matplotlib bar charts
Display the source blob
Display the rendered blob
Raw
{
"metadata": {
"name": "TemperatureBarChart"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<h3>Solving x axis overprinting on Pandas/Matplotlib bar charts</h3>\n",
"<p>If creating a histogram based on \"binning\" a continuous variable such as temperature or distance, it would be inappropriate to use a line chart since the y-axis \"counts of occurrences\" would be meaningless without representing the bin width.</p>\n",
"<p>First, we grab some temperature data, compute a histogram, and store the histogram data into a new data frame called dfh.</p>"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from pandas import *\n",
"df = read_csv(\"http://image.guardian.co.uk/sys-files/Guardian/documents/2009/12/08/\" +\n",
" \"us.csv?guni=Data:in%20body%20link\")\n",
"h=histogram(df.ix[map(lambda x: x.strip()==\"CHARLESTON\",df[\"Station\"]),6],bins=arange(3.4,16.2,0.2))\n",
"dfh = DataFrame(zip(h[1],h[0]),columns=[\"temperature\",\"count\"])"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 110
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<p>A straightforward plot() of dfh results in overprinted x axis labels.</p>\n",
"<p>Note: this example is somewhat contrived in that we could have just called df.hist() (on the original un-histogrammed data) instead of dfh.plot(), and Pandas/Matplotlib does a fine job when plotting with hist(). So the assumption where this is relevant is that the data you have has already been histogrammed and the original un-histogrammed data is unavailable to you.</p>"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"dfh.plot(kind=\"bar\",x=\"temperature\",title=\"Jan. ave. temperatures for Charleston, SC, 1823-2009\")"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 111,
"text": [
"<matplotlib.axes.AxesSubplot at 0x109d5ab50>"
]
},
{
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAWwAAAEjCAYAAAAWkTsAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nrkJggg==\n"
}
],
"prompt_number": 111
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<p>The solution is to call set_xticklabels and give it a list of the labels we want, putting in \"\" for the labels we want to skip. The code below achieves it in a single line of code.</p>"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"ax=dfh.plot(kind=\"bar\",x=\"temperature\",title=\"Jan. ave. temperatures for Charleston, SC, 1823-2009\")\n",
"r=ax.set_xticklabels(map(lambda x: 3.4+x/5.0 if (x+2)%5==0 else \"\", range(65)))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAWwAAAEjCAYAAAAWkTsAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n"
}
],
"prompt_number": 112
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 112
}
],
"metadata": {}
}
]
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment