benchmarks/index.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>biopython</th>\n",
       "      <th>pycogent</th>\n",
       "      <th>scikit-bio 0.2.3</th>\n",
       "      <th>scikit-bio master</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>object_creation</th>\n",
       "      <td>2.86e-04</td>\n",
       "      <td>6.48e-03</td>\n",
       "      <td>4.76e-04</td>\n",
       "      <td>2.92e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>slice_at_midpoint</th>\n",
       "      <td>6.47e-04</td>\n",
       "      <td>1.76e-02</td>\n",
       "      <td>1.83e-03</td>\n",
       "      <td>6.69e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>object_creation_validate</th>\n",
       "      <td>2.54e-01</td>\n",
       "      <td>1.57e-02</td>\n",
       "      <td>3.89e-02</td>\n",
       "      <td>1.18e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>validate_chars</th>\n",
       "      <td>2.83e-01</td>\n",
       "      <td>3.99e-02</td>\n",
       "      <td>3.81e-02</td>\n",
       "      <td>1.23e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>filter_invalid_seqs</th>\n",
       "      <td>2.48e-01</td>\n",
       "      <td>1.62e-02</td>\n",
       "      <td>3.78e-02</td>\n",
       "      <td>1.23e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gc_content</th>\n",
       "      <td>1.46e-02</td>\n",
       "      <td>6.31e-03</td>\n",
       "      <td>4.30e-02</td>\n",
       "      <td>1.44e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>reverse_complement</th>\n",
       "      <td>3.47e-03</td>\n",
       "      <td>6.73e-02</td>\n",
       "      <td>8.35e-02</td>\n",
       "      <td>1.45e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>search_for_motif</th>\n",
       "      <td>1.26e+00</td>\n",
       "      <td>3.42e-03</td>\n",
       "      <td>2.44e-04</td>\n",
       "      <td>1.65e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>degap_all</th>\n",
       "      <td>5.61e-02</td>\n",
       "      <td>7.72e-02</td>\n",
       "      <td>3.96e-01</td>\n",
       "      <td>4.05e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>find_motif_in_gapped</th>\n",
       "      <td>nan</td>\n",
       "      <td>3.05e-01</td>\n",
       "      <td>3.11e+00</td>\n",
       "      <td>8.87e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>read_fasta_file</th>\n",
       "      <td>1.40e+00</td>\n",
       "      <td>3.76e+00</td>\n",
       "      <td>6.21e-01</td>\n",
       "      <td>1.10e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>translate</th>\n",
       "      <td>1.60e-01</td>\n",
       "      <td>5.20e-02</td>\n",
       "      <td>1.19e+00</td>\n",
       "      <td>3.92e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>expand_degenerates</th>\n",
       "      <td>nan</td>\n",
       "      <td>5.28e-01</td>\n",
       "      <td>2.76e-01</td>\n",
       "      <td>8.28e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>kmer_count_5</th>\n",
       "      <td>5.77e+00</td>\n",
       "      <td>1.90e+01</td>\n",
       "      <td>3.54e+00</td>\n",
       "      <td>1.19e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>kmer_count_25</th>\n",
       "      <td>4.24e+00</td>\n",
       "      <td>1.87e+01</td>\n",
       "      <td>3.55e+00</td>\n",
       "      <td>1.19e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>filter_fasta_to_no_gaps</th>\n",
       "      <td>3.32e-03</td>\n",
       "      <td>nan</td>\n",
       "      <td>5.06e-04</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          biopython  pycogent  scikit-bio 0.2.3  \\\n",
       "object_creation            2.86e-04  6.48e-03          4.76e-04   \n",
       "slice_at_midpoint          6.47e-04  1.76e-02          1.83e-03   \n",
       "object_creation_validate   2.54e-01  1.57e-02          3.89e-02   \n",
       "validate_chars             2.83e-01  3.99e-02          3.81e-02   \n",
       "filter_invalid_seqs        2.48e-01  1.62e-02          3.78e-02   \n",
       "gc_content                 1.46e-02  6.31e-03          4.30e-02   \n",
       "reverse_complement         3.47e-03  6.73e-02          8.35e-02   \n",
       "search_for_motif           1.26e+00  3.42e-03          2.44e-04   \n",
       "degap_all                  5.61e-02  7.72e-02          3.96e-01   \n",
       "find_motif_in_gapped            nan  3.05e-01          3.11e+00   \n",
       "read_fasta_file            1.40e+00  3.76e+00          6.21e-01   \n",
       "translate                  1.60e-01  5.20e-02          1.19e+00   \n",
       "expand_degenerates              nan  5.28e-01          2.76e-01   \n",
       "kmer_count_5               5.77e+00  1.90e+01          3.54e+00   \n",
       "kmer_count_25              4.24e+00  1.87e+01          3.55e+00   \n",
       "filter_fasta_to_no_gaps    3.32e-03       nan          5.06e-04   \n",
       "\n",
       "                          scikit-bio master  \n",
       "object_creation                    2.92e-03  \n",
       "slice_at_midpoint                  6.69e-03  \n",
       "object_creation_validate           1.18e-02  \n",
       "validate_chars                     1.23e-02  \n",
       "filter_invalid_seqs                1.23e-02  \n",
       "gc_content                         1.44e-02  \n",
       "reverse_complement                 1.45e-02  \n",
       "search_for_motif                   1.65e-02  \n",
       "degap_all                          4.05e-02  \n",
       "find_motif_in_gapped               8.87e-02  \n",
       "read_fasta_file                    1.10e+00  \n",
       "translate                          3.92e+00  \n",
       "expand_degenerates                 8.28e+00  \n",
       "kmer_count_5                       1.19e+01  \n",
       "kmer_count_25                      1.19e+01  \n",
       "filter_fasta_to_no_gaps                 nan  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "\n",
    "comparison = pd.concat([\n",
    "    pd.DataFrame.from_csv(\"./biopy.csv\"),\n",
    "    pd.DataFrame.from_csv(\"./cogent.csv\"),\n",
    "    pd.DataFrame.from_csv(\"./skbio023.csv\"),\n",
    "    pd.DataFrame.from_csv(\"./skbio.csv\"),\n",
    "], axis=1)\n",
    "pd.set_option('display.float_format', lambda x: '%.2e' % x)\n",
    "comparison.sort(\"scikit-bio master\", axis=0, inplace=True)\n",
    "comparison"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f7541e06190>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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Y1upTe07tSZIkjchEShqBtQf9Gat+jFM/xqk/YzUeJlKSJEkjskZKQ6yRkjSt1mONVJKr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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7541e14450>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "comparison.iloc[::-1].plot(kind='barh', logx=True, figsize=(8, 20))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f75151ffc10>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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t+X8BTwb2al+Phy4wjvPb1+562LMkrUle39J8S7kupmYaLsN01c+q6h3AK4GD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\nNlCwpc+6AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f751521be10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "comparison.subtract(comparison['scikit-bio master'], axis=0).iloc[::-1].plot(kind='barh', figsize=(8, 20))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>biopython</th>\n",
       "      <th>pycogent</th>\n",
       "      <th>scikit-bio 0.2.3</th>\n",
       "      <th>scikit-bio master</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>biopython</th>\n",
       "      <td>1.00e+00</td>\n",
       "      <td>9.70e-01</td>\n",
       "      <td>9.30e-01</td>\n",
       "      <td>9.28e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pycogent</th>\n",
       "      <td>9.70e-01</td>\n",
       "      <td>1.00e+00</td>\n",
       "      <td>8.06e-01</td>\n",
       "      <td>8.61e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>scikit-bio 0.2.3</th>\n",
       "      <td>9.30e-01</td>\n",
       "      <td>8.06e-01</td>\n",
       "      <td>1.00e+00</td>\n",
       "      <td>7.14e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>scikit-bio master</th>\n",
       "      <td>9.28e-01</td>\n",
       "      <td>8.61e-01</td>\n",
       "      <td>7.14e-01</td>\n",
       "      <td>1.00e+00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   biopython  pycogent  scikit-bio 0.2.3  scikit-bio master\n",
       "biopython           1.00e+00  9.70e-01          9.30e-01           9.28e-01\n",
       "pycogent            9.70e-01  1.00e+00          8.06e-01           8.61e-01\n",
       "scikit-bio 0.2.3    9.30e-01  8.06e-01          1.00e+00           7.14e-01\n",
       "scikit-bio master   9.28e-01  8.61e-01          7.14e-01           1.00e+00"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "comparison.corr()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}