usecases/analyze_readfish_outputs.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analyze the output files from ReadFish\n",
    "\n",
    "Adapt the file paths accordingly."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "import numpy as np\n",
    "import pysam\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from pathlib import Path\n",
    "\n",
    "from simreaduntil.shared_utils.nanosim_parsing import NanoSimId\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# run_dir = Path(\"runs/enrich_usecase/full_run_sampler_per_window/simulator_run/\")\n",
    "run_dir = Path(\"/is/cluster-test/fast/mmordig/ont_project/runs/enrich_usecase/readfish_exp/results_readfishexp_realreads/simulator_run/\")\n",
    "# run_dir = Path(\"/home/mmordig/ont_project_all/ont_project/runs/enrich_usecase/readfish_exp/results_readfishexp_realreads_withflanking/simulator_run\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Check whether ReadFish is mapping the reads correctly by parsing the NanoSim id"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>read_id</th>\n",
       "      <th>read_length</th>\n",
       "      <th>read_start</th>\n",
       "      <th>read_end</th>\n",
       "      <th>strand</th>\n",
       "      <th>contig_name</th>\n",
       "      <th>contig_length</th>\n",
       "      <th>contig_start</th>\n",
       "      <th>contig_end</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>chr1_26454210_aligned_proc0:64_F_0_1535_0</td>\n",
       "      <td>263</td>\n",
       "      <td>0</td>\n",
       "      <td>263</td>\n",
       "      <td>+</td>\n",
       "      <td>chr1</td>\n",
       "      <td>248387328</td>\n",
       "      <td>26454210</td>\n",
       "      <td>26454469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>chr8_35080996_aligned_proc0:45_F_0_11151_0</td>\n",
       "      <td>323</td>\n",
       "      <td>3</td>\n",
       "      <td>323</td>\n",
       "      <td>+</td>\n",
       "      <td>chr8</td>\n",
       "      <td>146259331</td>\n",
       "      <td>35081000</td>\n",
       "      <td>35081331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>chr5_119262799_aligned_proc0:51_F_0_7992_0</td>\n",
       "      <td>265</td>\n",
       "      <td>0</td>\n",
       "      <td>265</td>\n",
       "      <td>+</td>\n",
       "      <td>chr5</td>\n",
       "      <td>182045439</td>\n",
       "      <td>119262799</td>\n",
       "      <td>119263072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>chr2_26169279_aligned_proc0:26_F_0_10295_0</td>\n",
       "      <td>343</td>\n",
       "      <td>0</td>\n",
       "      <td>334</td>\n",
       "      <td>+</td>\n",
       "      <td>chr2</td>\n",
       "      <td>242696752</td>\n",
       "      <td>26169279</td>\n",
       "      <td>26169617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>chr3_117116174_aligned_proc0:36_F_0_7402_0</td>\n",
       "      <td>342</td>\n",
       "      <td>0</td>\n",
       "      <td>342</td>\n",
       "      <td>+</td>\n",
       "      <td>chr3</td>\n",
       "      <td>201105948</td>\n",
       "      <td>117116174</td>\n",
       "      <td>117116526</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      read_id  read_length  read_start  \\\n",
       "0   chr1_26454210_aligned_proc0:64_F_0_1535_0          263           0   \n",
       "1  chr8_35080996_aligned_proc0:45_F_0_11151_0          323           3   \n",
       "2  chr5_119262799_aligned_proc0:51_F_0_7992_0          265           0   \n",
       "3  chr2_26169279_aligned_proc0:26_F_0_10295_0          343           0   \n",
       "4  chr3_117116174_aligned_proc0:36_F_0_7402_0          342           0   \n",
       "\n",
       "   read_end strand contig_name  contig_length  contig_start  contig_end  \n",
       "0       263      +        chr1      248387328      26454210    26454469  \n",
       "1       323      +        chr8      146259331      35081000    35081331  \n",
       "2       265      +        chr5      182045439     119262799   119263072  \n",
       "3       334      +        chr2      242696752      26169279    26169617  \n",
       "4       342      +        chr3      201105948     117116174   117116526  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mapping_paf_file = run_dir / \"mapping.paf\"\n",
    "\n",
    "df = pd.read_csv(mapping_paf_file, sep=\"\\t\", header=None, usecols=[0, 1, 2, 3, 4, 5, 6, 7, 8], names=[\"read_id\", \"read_length\", \"read_start\", \"read_end\", \"strand\", \"contig_name\", \"contig_length\", \"contig_start\", \"contig_end\"])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>read_id</th>\n",
       "      <th>read_length</th>\n",
       "      <th>read_start</th>\n",
       "      <th>read_end</th>\n",
       "      <th>strand</th>\n",
       "      <th>contig_name</th>\n",
       "      <th>contig_length</th>\n",
       "      <th>contig_start</th>\n",
       "      <th>contig_end</th>\n",
       "      <th>chrom</th>\n",
       "      <th>mapping_correct</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>chr1_26454210_aligned_proc0:64_F_0_1535_0</td>\n",
       "      <td>263</td>\n",
       "      <td>0</td>\n",
       "      <td>263</td>\n",
       "      <td>+</td>\n",
       "      <td>chr1</td>\n",
       "      <td>248387328</td>\n",
       "      <td>26454210</td>\n",
       "      <td>26454469</td>\n",
       "      <td>chr1</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>chr8_35080996_aligned_proc0:45_F_0_11151_0</td>\n",
       "      <td>323</td>\n",
       "      <td>3</td>\n",
       "      <td>323</td>\n",
       "      <td>+</td>\n",
       "      <td>chr8</td>\n",
       "      <td>146259331</td>\n",
       "      <td>35081000</td>\n",
       "      <td>35081331</td>\n",
       "      <td>chr8</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>chr5_119262799_aligned_proc0:51_F_0_7992_0</td>\n",
       "      <td>265</td>\n",
       "      <td>0</td>\n",
       "      <td>265</td>\n",
       "      <td>+</td>\n",
       "      <td>chr5</td>\n",
       "      <td>182045439</td>\n",
       "      <td>119262799</td>\n",
       "      <td>119263072</td>\n",
       "      <td>chr5</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>chr2_26169279_aligned_proc0:26_F_0_10295_0</td>\n",
       "      <td>343</td>\n",
       "      <td>0</td>\n",
       "      <td>334</td>\n",
       "      <td>+</td>\n",
       "      <td>chr2</td>\n",
       "      <td>242696752</td>\n",
       "      <td>26169279</td>\n",
       "      <td>26169617</td>\n",
       "      <td>chr2</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>chr3_117116174_aligned_proc0:36_F_0_7402_0</td>\n",
       "      <td>342</td>\n",
       "      <td>0</td>\n",
       "      <td>342</td>\n",
       "      <td>+</td>\n",
       "      <td>chr3</td>\n",
       "      <td>201105948</td>\n",
       "      <td>117116174</td>\n",
       "      <td>117116526</td>\n",
       "      <td>chr3</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      read_id  read_length  read_start  \\\n",
       "0   chr1_26454210_aligned_proc0:64_F_0_1535_0          263           0   \n",
       "1  chr8_35080996_aligned_proc0:45_F_0_11151_0          323           3   \n",
       "2  chr5_119262799_aligned_proc0:51_F_0_7992_0          265           0   \n",
       "3  chr2_26169279_aligned_proc0:26_F_0_10295_0          343           0   \n",
       "4  chr3_117116174_aligned_proc0:36_F_0_7402_0          342           0   \n",
       "\n",
       "   read_end strand contig_name  contig_length  contig_start  contig_end chrom  \\\n",
       "0       263      +        chr1      248387328      26454210    26454469  chr1   \n",
       "1       323      +        chr8      146259331      35081000    35081331  chr8   \n",
       "2       265      +        chr5      182045439     119262799   119263072  chr5   \n",
       "3       334      +        chr2      242696752      26169279    26169617  chr2   \n",
       "4       342      +        chr3      201105948     117116174   117116526  chr3   \n",
       "\n",
       "   mapping_correct  \n",
       "0             True  \n",
       "1             True  \n",
       "2             True  \n",
       "3             True  \n",
       "4             True  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"chrom\"] = df[\"read_id\"].apply(lambda read_id: NanoSimId.from_str(read_id).chrom)\n",
    "df[\"mapping_correct\"] = df[\"chrom\"] == df[\"contig_name\"]\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8156957759568824"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fraction_correct = sum(df[\"mapping_correct\"]) / len(df)\n",
    "fraction_correct"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Cumulative mapping correct')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# can be used to see if the mapping fails initially (for small chunk indices) pointing to the mapper being overwhelmed by the sheer number of channels\n",
    "df[\"chunk_idx\"] = np.arange(len(df))\n",
    "df[\"cum_mapping_correct\"] = df[\"mapping_correct\"].cumsum()\n",
    "fig, ax = plt.subplots()\n",
    "sns.lineplot(data=df, x=\"chunk_idx\", y=\"cum_mapping_correct\", ax=ax)\n",
    "ax.set_xlabel(\"Chunk index\")\n",
    "ax.set_ylabel(\"Cumulative number of correct mappings\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analyze chunk log\n",
    "\n",
    "We take the last decision for each read."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>client_iteration</th>\n",
       "      <th>read_in_loop</th>\n",
       "      <th>read_id</th>\n",
       "      <th>channel</th>\n",
       "      <th>read_number</th>\n",
       "      <th>seq_len</th>\n",
       "      <th>counter</th>\n",
       "      <th>mode</th>\n",
       "      <th>decision</th>\n",
       "      <th>condition</th>\n",
       "      <th>min_threshold</th>\n",
       "      <th>count_threshold</th>\n",
       "      <th>start_analysis</th>\n",
       "      <th>end_analysis</th>\n",
       "      <th>timestamp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>chr4_79091622_aligned_proc0:17_R_0_10859_0</td>\n",
       "      <td>126</td>\n",
       "      <td>chr4_79091622_aligned_proc0:17_R_0_10859_0</td>\n",
       "      <td>319</td>\n",
       "      <td>1</td>\n",
       "      <td>control</td>\n",
       "      <td>True</td>\n",
       "      <td>control</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000864</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>chr1_51922780_aligned_proc0:2_R_0_35088_0</td>\n",
       "      <td>15</td>\n",
       "      <td>chr1_51922780_aligned_proc0:2_R_0_35088_0</td>\n",
       "      <td>246</td>\n",
       "      <td>1</td>\n",
       "      <td>control</td>\n",
       "      <td>True</td>\n",
       "      <td>control</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.001536</td>\n",
       "      <td>0.001548</td>\n",
       "      <td>0.000683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "      <td>chr1_26454210_aligned_proc0:64_F_0_1535_0</td>\n",
       "      <td>482</td>\n",
       "      <td>chr1_26454210_aligned_proc0:64_F_0_1535_0</td>\n",
       "      <td>263</td>\n",
       "      <td>1</td>\n",
       "      <td>single_off</td>\n",
       "      <td>unblock</td>\n",
       "      <td>enrich_chr_16_20</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.001865</td>\n",
       "      <td>0.004453</td>\n",
       "      <td>0.003588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>12</td>\n",
       "      <td>4</td>\n",
       "      <td>chr8_35080996_aligned_proc0:45_F_0_11151_0</td>\n",
       "      <td>314</td>\n",
       "      <td>chr8_35080996_aligned_proc0:45_F_0_11151_0</td>\n",
       "      <td>323</td>\n",
       "      <td>1</td>\n",
       "      <td>single_off</td>\n",
       "      <td>unblock</td>\n",
       "      <td>enrich_chr_9_14</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.004892</td>\n",
       "      <td>0.005007</td>\n",
       "      <td>0.004142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>chr5_119262799_aligned_proc0:51_F_0_7992_0</td>\n",
       "      <td>375</td>\n",
       "      <td>chr5_119262799_aligned_proc0:51_F_0_7992_0</td>\n",
       "      <td>265</td>\n",
       "      <td>1</td>\n",
       "      <td>single_off</td>\n",
       "      <td>unblock</td>\n",
       "      <td>enrich_chr_9_14</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.005365</td>\n",
       "      <td>0.005459</td>\n",
       "      <td>0.004594</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   client_iteration  read_in_loop                                     read_id  \\\n",
       "0                12             1  chr4_79091622_aligned_proc0:17_R_0_10859_0   \n",
       "1                12             2   chr1_51922780_aligned_proc0:2_R_0_35088_0   \n",
       "2                12             3   chr1_26454210_aligned_proc0:64_F_0_1535_0   \n",
       "3                12             4  chr8_35080996_aligned_proc0:45_F_0_11151_0   \n",
       "4                12             5  chr5_119262799_aligned_proc0:51_F_0_7992_0   \n",
       "\n",
       "   channel                                 read_number  seq_len  counter  \\\n",
       "0      126  chr4_79091622_aligned_proc0:17_R_0_10859_0      319        1   \n",
       "1       15   chr1_51922780_aligned_proc0:2_R_0_35088_0      246        1   \n",
       "2      482   chr1_26454210_aligned_proc0:64_F_0_1535_0      263        1   \n",
       "3      314  chr8_35080996_aligned_proc0:45_F_0_11151_0      323        1   \n",
       "4      375  chr5_119262799_aligned_proc0:51_F_0_7992_0      265        1   \n",
       "\n",
       "         mode decision         condition  min_threshold  count_threshold  \\\n",
       "0     control     True           control          False            False   \n",
       "1     control     True           control          False            False   \n",
       "2  single_off  unblock  enrich_chr_16_20          False            False   \n",
       "3  single_off  unblock   enrich_chr_9_14          False            False   \n",
       "4  single_off  unblock   enrich_chr_9_14          False            False   \n",
       "\n",
       "   start_analysis  end_analysis  timestamp  \n",
       "0        0.000000      0.000864   0.000000  \n",
       "1        0.001536      0.001548   0.000683  \n",
       "2        0.001865      0.004453   0.003588  \n",
       "3        0.004892      0.005007   0.004142  \n",
       "4        0.005365      0.005459   0.004594  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chunk_log = run_dir / \"chunk_log.txt\"\n",
    "chunk_df = pd.read_csv(chunk_log, sep=\"\\t\")\n",
    "first_time = chunk_df[\"start_analysis\"].min()\n",
    "chunk_df[\"start_analysis\"] -= first_time\n",
    "chunk_df[\"end_analysis\"] -= first_time\n",
    "chunk_df[\"timestamp\"] -= chunk_df[\"timestamp\"].min() # different timer implementation\n",
    "# last decision per read_id\n",
    "\n",
    "chunk_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The following reads have contradicting decisions: ['chr10_46560475_aligned_proc1:8557_R_0_10144_0'\n",
      " 'chr10_51022679_aligned_proc0:15129_R_0_4742_0'\n",
      " 'chr10_57355202_aligned_proc1:2861_R_0_24476_0'\n",
      " 'chr10_95690626_aligned_proc0:22338_F_0_13966_0'\n",
      " 'chr11_13489989_aligned_proc1:5601_F_0_3642_0'\n",
      " 'chr11_3443736_aligned_proc0:17762_F_0_1555_0'\n",
      " 'chr11_65986646_aligned_proc0:44259_R_0_8924_0'\n",
      " 'chr11_67699121_aligned_proc1:32911_F_0_18565_0'\n",
      " 'chr11_67773251_aligned_proc0:46991_F_0_1263_0'\n",
      " 'chr11_79041662_aligned_proc1:11941_R_0_30699_0'\n",
      " 'chr11_83978157_aligned_proc0:45408_F_0_988_0'\n",
      " 'chr11_93901830_aligned_proc0:1066_R_0_30342_0'\n",
      " 'chr12_100988723_aligned_proc1:9500_R_0_6199_0'\n",
      " 'chr12_102809304_aligned_proc0:43933_R_0_9229_0'\n",
      " 'chr12_18717659_aligned_proc1:22380_F_0_4309_0'\n",
      " 'chr12_35213329_aligned_proc1:37488_F_0_10051_0'\n",
      " 'chr12_50869782_aligned_proc1:10980_F_0_7198_0'\n",
      " 'chr12_69368901_aligned_proc0:18483_R_0_7777_0'\n",
      " 'chr13_48384073_aligned_proc1:42729_F_0_9275_0'\n",
      " 'chr13_89341620_aligned_proc1:35990_R_0_7831_0'\n",
      " 'chr14_2593612_aligned_proc0:31067_R_0_4084_0'\n",
      " 'chr14_39765478_aligned_proc1:3662_R_0_6925_0'\n",
      " 'chr14_7252598_aligned_proc1:4960_R_0_18754_0'\n",
      " 'chr14_8281639_aligned_proc0:46007_R_0_14063_0'\n",
      " 'chr14_8492702_aligned_proc1:16602_R_0_6974_0'\n",
      " 'chr15_19557707_aligned_proc1:37344_F_0_3725_0'\n",
      " 'chr15_25967950_aligned_proc1:46938_R_0_14443_0'\n",
      " 'chr15_26063686_aligned_proc1:47323_F_0_3605_0'\n",
      " 'chr15_26993023_aligned_proc0:37907_F_0_12110_0'\n",
      " 'chr15_38387169_aligned_proc1:33753_F_0_13189_0'\n",
      " 'chr15_3870910_aligned_proc0:26542_R_0_3762_0'\n",
      " 'chr15_44915189_aligned_proc0:48803_F_0_10344_0'\n",
      " 'chr16_52149344_aligned_proc0:25461_R_0_7199_0'\n",
      " 'chr16_71069423_aligned_proc0:6274_F_0_871_0'\n",
      " 'chr16_76408721_aligned_proc0:37110_R_0_20934_0'\n",
      " 'chr17_16177646_aligned_proc1:32996_R_0_957_0'\n",
      " 'chr18_14193416_aligned_proc1:34833_R_0_13101_0'\n",
      " 'chr18_17587817_aligned_proc0:10739_F_0_7250_0'\n",
      " 'chr18_2990210_aligned_proc0:23579_F_0_1180_0'\n",
      " 'chr19_18144550_aligned_proc0:30723_R_0_22472_0'\n",
      " 'chr19_25360455_aligned_proc1:18421_R_0_7774_0'\n",
      " 'chr19_26242398_aligned_proc1:18836_F_0_9834_0'\n",
      " 'chr19_39464877_aligned_proc1:34998_R_0_14918_0'\n",
      " 'chr1_124032594_aligned_proc1:39712_R_0_4410_0'\n",
      " 'chr1_128420334_aligned_proc1:8631_F_0_19655_0'\n",
      " 'chr1_128653974_aligned_proc0:44830_R_0_883_0'\n",
      " 'chr1_135842843_aligned_proc1:19491_F_0_12556_0'\n",
      " 'chr1_162080599_aligned_proc1:2487_R_0_15422_0'\n",
      " 'chr1_96214307_aligned_proc0:39567_R_0_15558_0'\n",
      " 'chr1_9968920_aligned_proc1:37847_F_0_7081_0'\n",
      " 'chr20_15197783_aligned_proc1:46479_F_0_13466_0'\n",
      " 'chr20_25158745_aligned_proc1:34813_R_0_12951_0'\n",
      " 'chr20_26089332_aligned_proc1:33096_F_0_4777_0'\n",
      " 'chr20_30217908_aligned_proc0:18726_R_0_11330_0'\n",
      " 'chr20_30418603_aligned_proc0:2936_F_0_5432_0'\n",
      " 'chr20_30594460_aligned_proc0:44865_F_0_6238_0'\n",
      " 'chr20_31623226_aligned_proc0:42643_R_0_7972_0'\n",
      " 'chr20_35870999_aligned_proc0:38245_R_0_12794_0'\n",
      " 'chr20_40792048_aligned_proc0:33537_F_0_2262_0'\n",
      " 'chr20_61317321_aligned_proc1:49070_F_0_7010_0'\n",
      " 'chr21_11161655_aligned_proc1:17388_R_0_7114_0'\n",
      " 'chr21_23612599_aligned_proc0:21285_R_0_12620_0'\n",
      " 'chr21_41489503_aligned_proc1:26980_R_0_17814_0'\n",
      " 'chr21_5248173_aligned_proc0:30336_F_0_7183_0'\n",
      " 'chr21_6169884_aligned_proc1:29955_R_0_6273_0'\n",
      " 'chr22_11310596_aligned_proc0:21221_F_0_9981_0'\n",
      " 'chr22_16107138_aligned_proc0:13091_F_0_3196_0'\n",
      " 'chr22_21681969_aligned_proc0:45221_F_0_12802_0'\n",
      " 'chr22_25111818_aligned_proc0:20384_R_0_4431_0'\n",
      " 'chr22_31832726_aligned_proc1:29276_R_0_20265_0'\n",
      " 'chr22_31867035_aligned_proc1:34519_R_0_952_0'\n",
      " 'chr22_5446207_aligned_proc0:24705_R_0_6289_0'\n",
      " 'chr2_140751766_aligned_proc1:28348_F_0_10596_0'\n",
      " 'chr2_146853335_aligned_proc1:2200_F_0_8993_0'\n",
      " 'chr2_168253672_aligned_proc1:30454_R_0_2784_0'\n",
      " 'chr2_190400513_aligned_proc1:6854_R_0_12491_0'\n",
      " 'chr2_198206518_aligned_proc0:41877_R_0_7323_0'\n",
      " 'chr2_54474365_aligned_proc0:43024_R_0_8114_0'\n",
      " 'chr2_74800789_aligned_proc0:7329_F_0_3593_0'\n",
      " 'chr3_101089418_aligned_proc0:35024_R_0_11684_0'\n",
      " 'chr3_132923394_aligned_proc1:24600_F_0_947_0'\n",
      " 'chr3_143371346_aligned_proc1:43167_R_0_1204_0'\n",
      " 'chr3_173897725_aligned_proc0:49640_R_0_5091_0'\n",
      " 'chr4_108001666_aligned_proc0:41302_R_0_1142_0'\n",
      " 'chr4_129670423_aligned_proc1:12925_R_0_12606_0'\n",
      " 'chr4_158225635_aligned_proc0:34109_R_0_26976_0'\n",
      " 'chr4_161631671_aligned_proc0:19883_F_0_1768_0'\n",
      " 'chr4_162001002_aligned_proc1:17077_R_0_13868_0'\n",
      " 'chr4_16635_aligned_proc0:1491_F_0_5297_0'\n",
      " 'chr4_193069225_aligned_proc1:30482_R_0_3536_0'\n",
      " 'chr4_193469036_aligned_proc0:42397_R_0_13000_0'\n",
      " 'chr4_32721384_aligned_proc0:12985_R_0_12866_0'\n",
      " 'chr4_46251507_aligned_proc0:8453_R_0_11417_0'\n",
      " 'chr4_52459859_aligned_proc1:49498_F_0_7552_0'\n",
      " 'chr4_57204653_aligned_proc1:25149_R_0_11764_0'\n",
      " 'chr4_67388664_aligned_proc1:13243_F_0_12873_0'\n",
      " 'chr4_9583325_aligned_proc1:14902_F_0_630_0'\n",
      " 'chr5_146003101_aligned_proc0:14935_R_0_944_0'\n",
      " 'chr5_42989255_aligned_proc1:23663_F_0_10686_0'\n",
      " 'chr5_56545386_aligned_proc1:46505_F_0_11313_0'\n",
      " 'chr5_79513949_aligned_proc0:26723_R_0_6100_0'\n",
      " 'chr6_19388917_aligned_proc0:5578_R_0_9180_0'\n",
      " 'chr6_75878370_aligned_proc0:4691_R_0_720_0'\n",
      " 'chr7_116477133_aligned_proc1:44199_R_0_1709_0'\n",
      " 'chr7_151809288_aligned_proc0:6781_R_0_14919_0'\n",
      " 'chr7_58029291_aligned_proc0:29200_F_0_20787_0'\n",
      " 'chr7_58099971_aligned_proc1:44551_F_0_7750_0'\n",
      " 'chr7_66727152_aligned_proc1:40767_R_0_3805_0'\n",
      " 'chr8_99847749_aligned_proc0:760_R_0_16778_0'\n",
      " 'chr9_105972060_aligned_proc1:42632_F_0_9583_0'\n",
      " 'chr9_129852539_aligned_proc1:8824_F_0_3056_0'\n",
      " 'chr9_30102964_aligned_proc1:398_R_0_23344_0'\n",
      " 'chr9_33661732_aligned_proc0:45082_R_0_18589_0'\n",
      " 'chr9_40309392_aligned_proc1:49611_F_0_19854_0'\n",
      " 'chr9_40454857_aligned_proc0:33702_F_0_1068_0'\n",
      " 'chr9_42868514_aligned_proc0:31014_F_0_6221_0'\n",
      " 'chr9_45813582_aligned_proc1:36286_F_0_10326_0'\n",
      " 'chr9_75329071_aligned_proc1:30586_F_0_11208_0'\n",
      " 'chr9_77335760_aligned_proc1:5947_F_0_2326_0'\n",
      " 'chrX_104593026_aligned_proc0:45220_R_0_22565_0'\n",
      " 'chrX_110913597_aligned_proc1:5015_R_0_3464_0'\n",
      " 'chrX_111331_aligned_proc1:34711_F_0_10062_0'\n",
      " 'chrX_113112332_aligned_proc1:515_R_0_1292_0'\n",
      " 'chrX_115736885_aligned_proc0:4644_F_0_18129_0'\n",
      " 'chrX_119653213_aligned_proc0:21547_R_0_12532_0'\n",
      " 'chrX_124386630_aligned_proc0:19718_R_0_23355_0'\n",
      " 'chrX_129152314_aligned_proc1:7330_R_0_8222_0'\n",
      " 'chrX_140736248_aligned_proc1:24214_F_0_1410_0'\n",
      " 'chrX_153106503_aligned_proc0:45685_F_0_1234_0'\n",
      " 'chrX_153558546_aligned_proc0:32738_F_0_5713_0'\n",
      " 'chrX_20729273_aligned_proc0:26535_R_0_11241_0'\n",
      " 'chrX_26075894_aligned_proc1:45825_R_0_3721_0'\n",
      " 'chrX_5037558_aligned_proc1:3909_F_0_19167_0'\n",
      " 'chrX_61668685_aligned_proc1:18226_R_0_12795_0'\n",
      " 'chrX_63309112_aligned_proc0:49759_F_0_15355_0'\n",
      " 'chrX_64775308_aligned_proc1:35335_F_0_23726_0'\n",
      " 'chrX_6488382_aligned_proc0:6136_R_0_3175_0'\n",
      " 'chrX_65679376_aligned_proc0:42394_F_0_2851_0'\n",
      " 'chrY_11353602_aligned_proc0:6949_F_0_22804_0'\n",
      " 'chrY_24179543_aligned_proc1:8323_F_0_3643_0'\n",
      " 'chrY_3830730_aligned_proc1:37676_R_0_6535_0'\n",
      " 'chrY_40962526_aligned_proc1:6606_F_0_24037_0'\n",
      " 'chrY_52876394_aligned_proc0:8058_F_0_13033_0'\n",
      " 'chrY_8103282_aligned_proc0:36625_R_0_11099_0']\n"
     ]
    }
   ],
   "source": [
    "# check whether some reads have contradicting decisions (except for \"proceed\")\n",
    "df1 = chunk_df[chunk_df[\"decision\"] != \"proceed\"]\n",
    "nb_decisions_per_read = df1.groupby(\"read_id\", observed=True)[\"decision\"].nunique()\n",
    "nb_decisions_per_read = nb_decisions_per_read[nb_decisions_per_read > 1]\n",
    "if len(nb_decisions_per_read) > 0:\n",
    "    print(f\"The following reads have contradicting decisions: {nb_decisions_per_read.index.values}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>read_id</th>\n",
       "      <th>client_iteration</th>\n",
       "      <th>read_in_loop</th>\n",
       "      <th>channel</th>\n",
       "      <th>read_number</th>\n",
       "      <th>seq_len</th>\n",
       "      <th>counter</th>\n",
       "      <th>mode</th>\n",
       "      <th>decision</th>\n",
       "      <th>condition</th>\n",
       "      <th>min_threshold</th>\n",
       "      <th>count_threshold</th>\n",
       "      <th>start_analysis</th>\n",
       "      <th>end_analysis</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>chrom</th>\n",
       "      <th>is_rejection</th>\n",
       "      <th>is_stopreceiving</th>\n",
       "      <th>cum_nb_rejections_per_chrom</th>\n",
       "      <th>cum_nb_stopreceiving_per_chrom</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1524713</th>\n",
       "      <td>chr4_79091622_aligned_proc0:17_R_0_10859_0</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>126</td>\n",
       "      <td>chr4_79091622_aligned_proc0:17_R_0_10859_0</td>\n",
       "      <td>319</td>\n",
       "      <td>1</td>\n",
       "      <td>control</td>\n",
       "      <td>True</td>\n",
       "      <td>control</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000864</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>chr4</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>912219</th>\n",
       "      <td>chr1_51922780_aligned_proc0:2_R_0_35088_0</td>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>chr1_51922780_aligned_proc0:2_R_0_35088_0</td>\n",
       "      <td>246</td>\n",
       "      <td>1</td>\n",
       "      <td>control</td>\n",
       "      <td>True</td>\n",
       "      <td>control</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.001536</td>\n",
       "      <td>0.001548</td>\n",
       "      <td>0.000683</td>\n",
       "      <td>chr1</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>891103</th>\n",
       "      <td>chr1_26454210_aligned_proc0:64_F_0_1535_0</td>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "      <td>482</td>\n",
       "      <td>chr1_26454210_aligned_proc0:64_F_0_1535_0</td>\n",
       "      <td>263</td>\n",
       "      <td>1</td>\n",
       "      <td>single_off</td>\n",
       "      <td>unblock</td>\n",
       "      <td>enrich_chr_16_20</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.001865</td>\n",
       "      <td>0.004453</td>\n",
       "      <td>0.003588</td>\n",
       "      <td>chr1</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1976384</th>\n",
       "      <td>chr8_35080996_aligned_proc0:45_F_0_11151_0</td>\n",
       "      <td>12</td>\n",
       "      <td>4</td>\n",
       "      <td>314</td>\n",
       "      <td>chr8_35080996_aligned_proc0:45_F_0_11151_0</td>\n",
       "      <td>323</td>\n",
       "      <td>1</td>\n",
       "      <td>single_off</td>\n",
       "      <td>unblock</td>\n",
       "      <td>enrich_chr_9_14</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.004892</td>\n",
       "      <td>0.005007</td>\n",
       "      <td>0.004142</td>\n",
       "      <td>chr8</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1557842</th>\n",
       "      <td>chr5_119262799_aligned_proc0:51_F_0_7992_0</td>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>375</td>\n",
       "      <td>chr5_119262799_aligned_proc0:51_F_0_7992_0</td>\n",
       "      <td>265</td>\n",
       "      <td>1</td>\n",
       "      <td>single_off</td>\n",
       "      <td>unblock</td>\n",
       "      <td>enrich_chr_9_14</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.005365</td>\n",
       "      <td>0.005459</td>\n",
       "      <td>0.004594</td>\n",
       "      <td>chr5</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2115686</th>\n",
       "      <td>chr9_68107336_aligned_proc0:9822_R_0_6730_0</td>\n",
       "      <td>2449</td>\n",
       "      <td>22</td>\n",
       "      <td>254</td>\n",
       "      <td>chr9_68107336_aligned_proc0:9822_R_0_6730_0</td>\n",
       "      <td>200</td>\n",
       "      <td>12</td>\n",
       "      <td>exceeded_max_chunks_unblocked</td>\n",
       "      <td>exceeded_max_chunks_unblocked</td>\n",
       "      <td>enrich_chr_1_8</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>128.434243</td>\n",
       "      <td>128.434250</td>\n",
       "      <td>128.433385</td>\n",
       "      <td>chr9</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>263</td>\n",
       "      <td>133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282185</th>\n",
       "      <td>chr12_82202404_aligned_proc0:10025_R_0_11764_0</td>\n",
       "      <td>2449</td>\n",
       "      <td>24</td>\n",
       "      <td>269</td>\n",
       "      <td>chr12_82202404_aligned_proc0:10025_R_0_11764_0</td>\n",
       "      <td>342</td>\n",
       "      <td>1</td>\n",
       "      <td>single_on</td>\n",
       "      <td>stop_receiving</td>\n",
       "      <td>enrich_chr_9_14</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>128.434833</td>\n",
       "      <td>128.434892</td>\n",
       "      <td>128.434027</td>\n",
       "      <td>chr12</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>262</td>\n",
       "      <td>131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>321565</th>\n",
       "      <td>chr13_28038874_aligned_proc0:10008_R_0_1007_0</td>\n",
       "      <td>2449</td>\n",
       "      <td>25</td>\n",
       "      <td>352</td>\n",
       "      <td>chr13_28038874_aligned_proc0:10008_R_0_1007_0</td>\n",
       "      <td>384</td>\n",
       "      <td>1</td>\n",
       "      <td>single_on</td>\n",
       "      <td>stop_receiving</td>\n",
       "      <td>enrich_chr_9_14</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>128.435300</td>\n",
       "      <td>128.435361</td>\n",
       "      <td>128.434495</td>\n",
       "      <td>chr13</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>204</td>\n",
       "      <td>106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1604331</th>\n",
       "      <td>chr5_175553425_aligned_proc0:10034_F_0_7706_0</td>\n",
       "      <td>2449</td>\n",
       "      <td>26</td>\n",
       "      <td>464</td>\n",
       "      <td>chr5_175553425_aligned_proc0:10034_F_0_7706_0</td>\n",
       "      <td>225</td>\n",
       "      <td>1</td>\n",
       "      <td>single_off</td>\n",
       "      <td>unblock</td>\n",
       "      <td>enrich_chr_16_20</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>128.435569</td>\n",
       "      <td>128.435622</td>\n",
       "      <td>128.434756</td>\n",
       "      <td>chr5</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>372</td>\n",
       "      <td>126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2063327</th>\n",
       "      <td>chr9_139979310_aligned_proc0:10028_R_0_6990_0</td>\n",
       "      <td>2449</td>\n",
       "      <td>27</td>\n",
       "      <td>300</td>\n",
       "      <td>chr9_139979310_aligned_proc0:10028_R_0_6990_0</td>\n",
       "      <td>354</td>\n",
       "      <td>1</td>\n",
       "      <td>single_on</td>\n",
       "      <td>stop_receiving</td>\n",
       "      <td>enrich_chr_9_14</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>128.435911</td>\n",
       "      <td>128.435969</td>\n",
       "      <td>128.435104</td>\n",
       "      <td>chr9</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>263</td>\n",
       "      <td>134</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10000 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                read_id  client_iteration  \\\n",
       "1524713      chr4_79091622_aligned_proc0:17_R_0_10859_0                12   \n",
       "912219        chr1_51922780_aligned_proc0:2_R_0_35088_0                12   \n",
       "891103        chr1_26454210_aligned_proc0:64_F_0_1535_0                12   \n",
       "1976384      chr8_35080996_aligned_proc0:45_F_0_11151_0                12   \n",
       "1557842      chr5_119262799_aligned_proc0:51_F_0_7992_0                12   \n",
       "...                                                 ...               ...   \n",
       "2115686     chr9_68107336_aligned_proc0:9822_R_0_6730_0              2449   \n",
       "282185   chr12_82202404_aligned_proc0:10025_R_0_11764_0              2449   \n",
       "321565    chr13_28038874_aligned_proc0:10008_R_0_1007_0              2449   \n",
       "1604331   chr5_175553425_aligned_proc0:10034_F_0_7706_0              2449   \n",
       "2063327   chr9_139979310_aligned_proc0:10028_R_0_6990_0              2449   \n",
       "\n",
       "         read_in_loop  channel  \\\n",
       "1524713             1      126   \n",
       "912219              2       15   \n",
       "891103              3      482   \n",
       "1976384             4      314   \n",
       "1557842             5      375   \n",
       "...               ...      ...   \n",
       "2115686            22      254   \n",
       "282185             24      269   \n",
       "321565             25      352   \n",
       "1604331            26      464   \n",
       "2063327            27      300   \n",
       "\n",
       "                                            read_number  seq_len  counter  \\\n",
       "1524713      chr4_79091622_aligned_proc0:17_R_0_10859_0      319        1   \n",
       "912219        chr1_51922780_aligned_proc0:2_R_0_35088_0      246        1   \n",
       "891103        chr1_26454210_aligned_proc0:64_F_0_1535_0      263        1   \n",
       "1976384      chr8_35080996_aligned_proc0:45_F_0_11151_0      323        1   \n",
       "1557842      chr5_119262799_aligned_proc0:51_F_0_7992_0      265        1   \n",
       "...                                                 ...      ...      ...   \n",
       "2115686     chr9_68107336_aligned_proc0:9822_R_0_6730_0      200       12   \n",
       "282185   chr12_82202404_aligned_proc0:10025_R_0_11764_0      342        1   \n",
       "321565    chr13_28038874_aligned_proc0:10008_R_0_1007_0      384        1   \n",
       "1604331   chr5_175553425_aligned_proc0:10034_F_0_7706_0      225        1   \n",
       "2063327   chr9_139979310_aligned_proc0:10028_R_0_6990_0      354        1   \n",
       "\n",
       "                                  mode                       decision  \\\n",
       "1524713                        control                           True   \n",
       "912219                         control                           True   \n",
       "891103                      single_off                        unblock   \n",
       "1976384                     single_off                        unblock   \n",
       "1557842                     single_off                        unblock   \n",
       "...                                ...                            ...   \n",
       "2115686  exceeded_max_chunks_unblocked  exceeded_max_chunks_unblocked   \n",
       "282185                       single_on                 stop_receiving   \n",
       "321565                       single_on                 stop_receiving   \n",
       "1604331                     single_off                        unblock   \n",
       "2063327                      single_on                 stop_receiving   \n",
       "\n",
       "                condition  min_threshold  count_threshold  start_analysis  \\\n",
       "1524713           control          False            False        0.000000   \n",
       "912219            control          False            False        0.001536   \n",
       "891103   enrich_chr_16_20          False            False        0.001865   \n",
       "1976384   enrich_chr_9_14          False            False        0.004892   \n",
       "1557842   enrich_chr_9_14          False            False        0.005365   \n",
       "...                   ...            ...              ...             ...   \n",
       "2115686    enrich_chr_1_8          False             True      128.434243   \n",
       "282185    enrich_chr_9_14          False            False      128.434833   \n",
       "321565    enrich_chr_9_14          False            False      128.435300   \n",
       "1604331  enrich_chr_16_20          False            False      128.435569   \n",
       "2063327   enrich_chr_9_14          False            False      128.435911   \n",
       "\n",
       "         end_analysis   timestamp  chrom  is_rejection  is_stopreceiving  \\\n",
       "1524713      0.000864    0.000000   chr4         False             False   \n",
       "912219       0.001548    0.000683   chr1         False             False   \n",
       "891103       0.004453    0.003588   chr1          True             False   \n",
       "1976384      0.005007    0.004142   chr8          True             False   \n",
       "1557842      0.005459    0.004594   chr5          True             False   \n",
       "...               ...         ...    ...           ...               ...   \n",
       "2115686    128.434250  128.433385   chr9         False             False   \n",
       "282185     128.434892  128.434027  chr12         False              True   \n",
       "321565     128.435361  128.434495  chr13         False              True   \n",
       "1604331    128.435622  128.434756   chr5          True             False   \n",
       "2063327    128.435969  128.435104   chr9         False              True   \n",
       "\n",
       "         cum_nb_rejections_per_chrom  cum_nb_stopreceiving_per_chrom  \n",
       "1524713                            0                               0  \n",
       "912219                             0                               0  \n",
       "891103                             1                               0  \n",
       "1976384                            1                               0  \n",
       "1557842                            1                               0  \n",
       "...                              ...                             ...  \n",
       "2115686                          263                             133  \n",
       "282185                           262                             131  \n",
       "321565                           204                             106  \n",
       "1604331                          372                             126  \n",
       "2063327                          263                             134  \n",
       "\n",
       "[10000 rows x 20 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chunk_df.sort_values(\"end_analysis\", inplace=True)\n",
    "chunk_df = chunk_df.groupby(\"read_id\", observed=True).last().reset_index()\n",
    "chunk_df.sort_values(\"end_analysis\", inplace=True) # order not guaranteed\n",
    "\n",
    "chunk_df[\"chrom\"] = chunk_df[\"read_id\"].apply(lambda read_id: NanoSimId.from_str(read_id).chrom)\n",
    "chunk_df[\"is_rejection\"] = chunk_df[\"decision\"].apply(lambda x: x == \"unblock\")\n",
    "chunk_df[\"is_stopreceiving\"] = chunk_df[\"decision\"].apply(lambda x: x == \"stop_receiving\")\n",
    "chunk_df[\"cum_nb_rejections_per_chrom\"] = chunk_df.groupby(\"chrom\", observed=True)[\"is_rejection\"].cumsum()\n",
    "chunk_df[\"cum_nb_stopreceiving_per_chrom\"] = chunk_df.groupby(\"chrom\", observed=True)[\"is_stopreceiving\"].cumsum()\n",
    "chunk_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Cumulative number of stopreceiving per chromosome')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2) = plt.subplots(figsize=(10, 8), nrows=2, sharex=True, sharey=True)\n",
    "sns.lineplot(data=chunk_df, x=\"end_analysis\", y=\"cum_nb_rejections_per_chrom\", hue=\"chrom\", ax=ax1)\n",
    "sns.lineplot(data=chunk_df, x=\"end_analysis\", y=\"cum_nb_stopreceiving_per_chrom\", hue=\"chrom\", ax=ax2)\n",
    "ax1.set_ylabel(\"Cumulative number of actions\")\n",
    "ax1.set_title(\"Cumulative number of rejections per chromosome\")\n",
    "ax2.set_xlabel(\"Time (s)\")\n",
    "ax2.set_ylabel(\"Cumulative number of actions\")\n",
    "ax2.set_title(\"Cumulative number of stopreceiving per chromosome\")\n",
    "\n",
    "# on one plot, but legend not correct\n",
    "# fig, ax = plt.subplots(figsize=(10, 5))\n",
    "# sns.lineplot(data=chunk_df, x=\"end_analysis\", y=\"cum_nb_rejections_per_chrom\", hue=\"chrom\", ax=ax)\n",
    "# sns.lineplot(data=chunk_df, x=\"end_analysis\", y=\"cum_nb_stopreceiving_per_chrom\", hue=\"chrom\", ax=ax, linestyle=\"--\", legend=False)\n",
    "# ax1.set_ylabel(\"Cumulative number of actions\")\n",
    "# ax1.set_title(\"Cumulative number of rejections per chromosome\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "ont_project_venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.12"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}