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@blackfist
Created August 31, 2014 03:55
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When I sort a data frame and plot it the values are properly sorted but the labels are not.
{
"metadata": {
"name": "",
"signature": "sha256:70ec5770cd4e35c7a408514277aa748a06612e2b2f4441a5efd73e02746d1a6b"
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"nbformat": 3,
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"worksheets": [
{
"cells": [
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Weird Sorting thing"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"So it appears that when I sort a data frame and then plot it the values column is properly sorted, but the labels are not sorted. Unless you look at the data frame itself. Then everything looks right. Here is some example code."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import pandas as pd\n",
"from pandas import DataFrame as df\n",
"import matplotlib.pyplot as plt\n",
"\n",
"import prettyplotlib as ppl\n",
"import numpy as np\n",
"%matplotlib inline"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 5
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"theFuck = df({'names':['twenty','ten','thirty','fifty','forty'], 'values':[20,10,30,50,40]})\n",
"# since I'm making a horizontal bar and they load from bottom\n",
"# up I need to sort ascending\n",
"\n",
"ypos = np.arange(len(theFuck)) + .1\n",
"with ppl.pretty:\n",
" fig, ax = plt.subplots(1, figsize=(10,6))\n",
"\n",
"ppl.barh(ax, ypos, theFuck['values'], annotate=True)\n",
"plt.yticks(ypos +.4, theFuck['names'])\n",
"plt.xlim(0, max(theFuck['values'])*1.1)\n",
"plt.title(\"Just some names and values\", fontsize=20)\n",
"plt.xlabel(\"values\")\n",
"plt.show()\n",
"print(theFuck)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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ZMmUKK1euDKxQkboziJ0ArAIagBeA7YG3AzcB3y5Z7gPAZOCTpMC2OFvup8AV2XSAg0lB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\n",
"text": [
"<matplotlib.figure.Figure at 0x1075bba90>"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" names values\n",
"0 twenty 20\n",
"1 ten 10\n",
"2 thirty 30\n",
"3 fifty 50\n",
"4 forty 40\n"
]
}
],
"prompt_number": 6
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"So far so good. The data frame is built with data in the wrong order and the graph plots as expected. The labels match up with the values. But what happens if we sort the data frame and then plot it?"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"theFuck = theFuck.sort(['values'], ascending=True)\n",
"ypos = np.arange(len(theFuck)) + .1\n",
"with ppl.pretty:\n",
" fig, ax = plt.subplots(1, figsize=(10,6))\n",
"\n",
"ppl.barh(ax, ypos, theFuck['values'], annotate=True)\n",
"plt.yticks(ypos +.4, theFuck['names'])\n",
"plt.xlim(0, max(theFuck['values'])*1.1)\n",
"plt.title(\"Just some names and values\", fontsize=20)\n",
"plt.xlabel(\"values\")\n",
"plt.show()\n",
"print(theFuck)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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SJAUxiEmSJAUxiEmSJAUZkEEsXyhEl6Ayrfl8dAmSJA04tdEFbImaXI6jbloU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\n",
"text": [
"<matplotlib.figure.Figure at 0x1075f9210>"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" names values\n",
"1 ten 10\n",
"0 twenty 20\n",
"2 thirty 30\n",
"4 forty 40\n",
"3 fifty 50\n"
]
}
],
"prompt_number": 7
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"What the what? The bars are now in sorted order and the values are what I would expect. However, it looks like the labels retained their original, unsorted, order. Even weirder, though, is the printout of the data frame below the bar chart where the values and the names **are** lined up."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
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