FigureS4 TCGA CDH1 Cov.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(14181, 5)\n",
      "977 0\n"
     ]
    },
    {
     "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>cts</th>\n",
       "      <th>num</th>\n",
       "      <th>ele</th>\n",
       "      <th>sp</th>\n",
       "      <th>Histology</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>296</td>\n",
       "      <td>1</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1581</td>\n",
       "      <td>2</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1122</td>\n",
       "      <td>3</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1370</td>\n",
       "      <td>4</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1317</td>\n",
       "      <td>5</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1644</td>\n",
       "      <td>6</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1201</td>\n",
       "      <td>7</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2192</td>\n",
       "      <td>8</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2776</td>\n",
       "      <td>9</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1714</td>\n",
       "      <td>10</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>3682</td>\n",
       "      <td>11</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>3018</td>\n",
       "      <td>12</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1463</td>\n",
       "      <td>13</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1270</td>\n",
       "      <td>14</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>49920</td>\n",
       "      <td>15</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>107</td>\n",
       "      <td>1</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>16</td>\n",
       "      <td>7</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>55</td>\n",
       "      <td>9</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>172</td>\n",
       "      <td>11</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>85</td>\n",
       "      <td>12</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>6</td>\n",
       "      <td>13</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>239</td>\n",
       "      <td>1</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SF</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>8</td>\n",
       "      <td>14</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-LL-A5YP</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-OL-A66I</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>214</td>\n",
       "      <td>2</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-OL-A66I</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>121</td>\n",
       "      <td>3</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-OL-A66I</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>174</td>\n",
       "      <td>4</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-OL-A66I</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>197</td>\n",
       "      <td>5</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-OL-A66I</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>251</td>\n",
       "      <td>6</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-OL-A66I</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>199</td>\n",
       "      <td>7</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-OL-A66I</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>324</td>\n",
       "      <td>8</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-OL-A66I</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>478</td>\n",
       "      <td>9</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-OL-A66I</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>363</td>\n",
       "      <td>10</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-OL-A66I</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>715</td>\n",
       "      <td>11</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-OL-A66I</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>752</td>\n",
       "      <td>12</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-OL-A66I</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>461</td>\n",
       "      <td>13</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-OL-A66I</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>452</td>\n",
       "      <td>14</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-OL-A66I</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>20277</td>\n",
       "      <td>15</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-OL-A66I</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>78</td>\n",
       "      <td>1</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-OL-A66I</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-OL-A66I</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-OL-A66I</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-OL-A66I</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-OL-A66I</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-OL-A66I</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-OL-A66I</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-OL-A66I</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-OL-A66I</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-OL-A66I</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>221</td>\n",
       "      <td>11</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-OL-A66I</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>25</td>\n",
       "      <td>12</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-OL-A66I</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2</td>\n",
       "      <td>13</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-OL-A66I</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>9</td>\n",
       "      <td>14</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-OL-A66I</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14181 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      cts  num     ele            sp Histology\n",
       "0     296    1    exon  TCGA-A1-A0SD       IDC\n",
       "1    1581    2    exon  TCGA-A1-A0SD       IDC\n",
       "2    1122    3    exon  TCGA-A1-A0SD       IDC\n",
       "3    1370    4    exon  TCGA-A1-A0SD       IDC\n",
       "4    1317    5    exon  TCGA-A1-A0SD       IDC\n",
       "5    1644    6    exon  TCGA-A1-A0SD       IDC\n",
       "6    1201    7    exon  TCGA-A1-A0SD       IDC\n",
       "7    2192    8    exon  TCGA-A1-A0SD       IDC\n",
       "8    2776    9    exon  TCGA-A1-A0SD       IDC\n",
       "9    1714   10    exon  TCGA-A1-A0SD       IDC\n",
       "10   3682   11    exon  TCGA-A1-A0SD       IDC\n",
       "11   3018   12    exon  TCGA-A1-A0SD       IDC\n",
       "12   1463   13    exon  TCGA-A1-A0SD       IDC\n",
       "13   1270   14    exon  TCGA-A1-A0SD       IDC\n",
       "14  49920   15    exon  TCGA-A1-A0SD       IDC\n",
       "0     107    1  intron  TCGA-A1-A0SD       IDC\n",
       "1       5    2  intron  TCGA-A1-A0SD       IDC\n",
       "2       0    3  intron  TCGA-A1-A0SD       IDC\n",
       "3       0    4  intron  TCGA-A1-A0SD       IDC\n",
       "4       7    5  intron  TCGA-A1-A0SD       IDC\n",
       "5       4    6  intron  TCGA-A1-A0SD       IDC\n",
       "6      16    7  intron  TCGA-A1-A0SD       IDC\n",
       "7       4    8  intron  TCGA-A1-A0SD       IDC\n",
       "8      55    9  intron  TCGA-A1-A0SD       IDC\n",
       "9      20   10  intron  TCGA-A1-A0SD       IDC\n",
       "10    172   11  intron  TCGA-A1-A0SD       IDC\n",
       "11     85   12  intron  TCGA-A1-A0SD       IDC\n",
       "12      6   13  intron  TCGA-A1-A0SD       IDC\n",
       "13     15   14  intron  TCGA-A1-A0SD       IDC\n",
       "0     239    1    exon  TCGA-A1-A0SF       IDC\n",
       "..    ...  ...     ...           ...       ...\n",
       "13      8   14  intron  TCGA-LL-A5YP       IDC\n",
       "0      31    1    exon  TCGA-OL-A66I       IDC\n",
       "1     214    2    exon  TCGA-OL-A66I       IDC\n",
       "2     121    3    exon  TCGA-OL-A66I       IDC\n",
       "3     174    4    exon  TCGA-OL-A66I       IDC\n",
       "4     197    5    exon  TCGA-OL-A66I       IDC\n",
       "5     251    6    exon  TCGA-OL-A66I       IDC\n",
       "6     199    7    exon  TCGA-OL-A66I       IDC\n",
       "7     324    8    exon  TCGA-OL-A66I       IDC\n",
       "8     478    9    exon  TCGA-OL-A66I       IDC\n",
       "9     363   10    exon  TCGA-OL-A66I       IDC\n",
       "10    715   11    exon  TCGA-OL-A66I       IDC\n",
       "11    752   12    exon  TCGA-OL-A66I       IDC\n",
       "12    461   13    exon  TCGA-OL-A66I       IDC\n",
       "13    452   14    exon  TCGA-OL-A66I       IDC\n",
       "14  20277   15    exon  TCGA-OL-A66I       IDC\n",
       "0      78    1  intron  TCGA-OL-A66I       IDC\n",
       "1       5    2  intron  TCGA-OL-A66I       IDC\n",
       "2       0    3  intron  TCGA-OL-A66I       IDC\n",
       "3       0    4  intron  TCGA-OL-A66I       IDC\n",
       "4       0    5  intron  TCGA-OL-A66I       IDC\n",
       "5       1    6  intron  TCGA-OL-A66I       IDC\n",
       "6       1    7  intron  TCGA-OL-A66I       IDC\n",
       "7       3    8  intron  TCGA-OL-A66I       IDC\n",
       "8      21    9  intron  TCGA-OL-A66I       IDC\n",
       "9       1   10  intron  TCGA-OL-A66I       IDC\n",
       "10    221   11  intron  TCGA-OL-A66I       IDC\n",
       "11     25   12  intron  TCGA-OL-A66I       IDC\n",
       "12      2   13  intron  TCGA-OL-A66I       IDC\n",
       "13      9   14  intron  TCGA-OL-A66I       IDC\n",
       "\n",
       "[14181 rows x 5 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sampleList='/home/chelseax/data/IDC_patients.txt'\n",
    "samples = np.loadtxt(sampleList, dtype='object')\n",
    "\n",
    "k = -1\n",
    "m = 0\n",
    "for sp in samples: \n",
    "    for ele in ['exon','intron']:\n",
    "        k += 1\n",
    "        try:\n",
    "            fpath='/pylon5/bi48n4p/chelseax/TCGA15/%s/%sCount.txt'%(sp, ele)\n",
    "            tmp = pd.read_csv(fpath, sep='\\t').iloc[:,[-1]]\n",
    "            tmp.columns = ['cts']\n",
    "            tmp['num'] = [i+1 for i in range(len(tmp.index))]\n",
    "            tmp['ele'] = [ele] * len(tmp.index)\n",
    "            tmp['sp'] = [sp] * len(tmp.index)\n",
    "            df = tmp if k == 0 else df.append(tmp)\n",
    "        except:\n",
    "            m += 1\n",
    "df['Histology'] = ['IDC'] * len(df.index)   \n",
    "print(df.shape)\n",
    "print(k, m)\n",
    "df "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv('/pylon5/bi48n4p/chelseax/TCGA15/IDC_Cts.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3683, 5)\n",
      "253 0\n"
     ]
    },
    {
     "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>cts</th>\n",
       "      <th>num</th>\n",
       "      <th>ele</th>\n",
       "      <th>sp</th>\n",
       "      <th>Histology</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>357</td>\n",
       "      <td>1</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SE</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1526</td>\n",
       "      <td>2</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SE</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1004</td>\n",
       "      <td>3</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SE</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1180</td>\n",
       "      <td>4</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SE</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1272</td>\n",
       "      <td>5</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SE</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1621</td>\n",
       "      <td>6</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SE</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1418</td>\n",
       "      <td>7</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SE</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2045</td>\n",
       "      <td>8</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SE</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2542</td>\n",
       "      <td>9</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SE</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1481</td>\n",
       "      <td>10</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SE</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>3096</td>\n",
       "      <td>11</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SE</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2441</td>\n",
       "      <td>12</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SE</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1247</td>\n",
       "      <td>13</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SE</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1239</td>\n",
       "      <td>14</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SE</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>36395</td>\n",
       "      <td>15</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SE</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>110</td>\n",
       "      <td>1</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-A1-A0SE</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-A1-A0SE</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-A1-A0SE</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-A1-A0SE</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-A1-A0SE</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-A1-A0SE</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-A1-A0SE</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-A1-A0SE</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>25</td>\n",
       "      <td>9</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-A1-A0SE</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>16</td>\n",
       "      <td>10</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-A1-A0SE</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>98</td>\n",
       "      <td>11</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-A1-A0SE</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>34</td>\n",
       "      <td>12</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-A1-A0SE</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-A1-A0SE</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>11</td>\n",
       "      <td>14</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-A1-A0SE</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A2-A0CK</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>45</td>\n",
       "      <td>14</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-MS-A51U</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>25</td>\n",
       "      <td>2</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>15</td>\n",
       "      <td>3</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>25</td>\n",
       "      <td>4</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20</td>\n",
       "      <td>5</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>24</td>\n",
       "      <td>6</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>19</td>\n",
       "      <td>7</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>31</td>\n",
       "      <td>8</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>56</td>\n",
       "      <td>9</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>48</td>\n",
       "      <td>10</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>100</td>\n",
       "      <td>11</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>69</td>\n",
       "      <td>12</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>31</td>\n",
       "      <td>13</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>27</td>\n",
       "      <td>14</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1866</td>\n",
       "      <td>15</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>134</td>\n",
       "      <td>1</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>11</td>\n",
       "      <td>8</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>25</td>\n",
       "      <td>10</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>72</td>\n",
       "      <td>11</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>42</td>\n",
       "      <td>12</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>31</td>\n",
       "      <td>14</td>\n",
       "      <td>intron</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>ILC</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3683 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      cts  num     ele            sp Histology\n",
       "0     357    1    exon  TCGA-A1-A0SE       ILC\n",
       "1    1526    2    exon  TCGA-A1-A0SE       ILC\n",
       "2    1004    3    exon  TCGA-A1-A0SE       ILC\n",
       "3    1180    4    exon  TCGA-A1-A0SE       ILC\n",
       "4    1272    5    exon  TCGA-A1-A0SE       ILC\n",
       "5    1621    6    exon  TCGA-A1-A0SE       ILC\n",
       "6    1418    7    exon  TCGA-A1-A0SE       ILC\n",
       "7    2045    8    exon  TCGA-A1-A0SE       ILC\n",
       "8    2542    9    exon  TCGA-A1-A0SE       ILC\n",
       "9    1481   10    exon  TCGA-A1-A0SE       ILC\n",
       "10   3096   11    exon  TCGA-A1-A0SE       ILC\n",
       "11   2441   12    exon  TCGA-A1-A0SE       ILC\n",
       "12   1247   13    exon  TCGA-A1-A0SE       ILC\n",
       "13   1239   14    exon  TCGA-A1-A0SE       ILC\n",
       "14  36395   15    exon  TCGA-A1-A0SE       ILC\n",
       "0     110    1  intron  TCGA-A1-A0SE       ILC\n",
       "1       6    2  intron  TCGA-A1-A0SE       ILC\n",
       "2       0    3  intron  TCGA-A1-A0SE       ILC\n",
       "3       0    4  intron  TCGA-A1-A0SE       ILC\n",
       "4       3    5  intron  TCGA-A1-A0SE       ILC\n",
       "5       2    6  intron  TCGA-A1-A0SE       ILC\n",
       "6       5    7  intron  TCGA-A1-A0SE       ILC\n",
       "7       3    8  intron  TCGA-A1-A0SE       ILC\n",
       "8      25    9  intron  TCGA-A1-A0SE       ILC\n",
       "9      16   10  intron  TCGA-A1-A0SE       ILC\n",
       "10     98   11  intron  TCGA-A1-A0SE       ILC\n",
       "11     34   12  intron  TCGA-A1-A0SE       ILC\n",
       "12      0   13  intron  TCGA-A1-A0SE       ILC\n",
       "13     11   14  intron  TCGA-A1-A0SE       ILC\n",
       "0       3    1    exon  TCGA-A2-A0CK       ILC\n",
       "..    ...  ...     ...           ...       ...\n",
       "13     45   14  intron  TCGA-MS-A51U       ILC\n",
       "0       7    1    exon  TCGA-OL-A66K       ILC\n",
       "1      25    2    exon  TCGA-OL-A66K       ILC\n",
       "2      15    3    exon  TCGA-OL-A66K       ILC\n",
       "3      25    4    exon  TCGA-OL-A66K       ILC\n",
       "4      20    5    exon  TCGA-OL-A66K       ILC\n",
       "5      24    6    exon  TCGA-OL-A66K       ILC\n",
       "6      19    7    exon  TCGA-OL-A66K       ILC\n",
       "7      31    8    exon  TCGA-OL-A66K       ILC\n",
       "8      56    9    exon  TCGA-OL-A66K       ILC\n",
       "9      48   10    exon  TCGA-OL-A66K       ILC\n",
       "10    100   11    exon  TCGA-OL-A66K       ILC\n",
       "11     69   12    exon  TCGA-OL-A66K       ILC\n",
       "12     31   13    exon  TCGA-OL-A66K       ILC\n",
       "13     27   14    exon  TCGA-OL-A66K       ILC\n",
       "14   1866   15    exon  TCGA-OL-A66K       ILC\n",
       "0     134    1  intron  TCGA-OL-A66K       ILC\n",
       "1       8    2  intron  TCGA-OL-A66K       ILC\n",
       "2       0    3  intron  TCGA-OL-A66K       ILC\n",
       "3       5    4  intron  TCGA-OL-A66K       ILC\n",
       "4       6    5  intron  TCGA-OL-A66K       ILC\n",
       "5       3    6  intron  TCGA-OL-A66K       ILC\n",
       "6       4    7  intron  TCGA-OL-A66K       ILC\n",
       "7      11    8  intron  TCGA-OL-A66K       ILC\n",
       "8      21    9  intron  TCGA-OL-A66K       ILC\n",
       "9      25   10  intron  TCGA-OL-A66K       ILC\n",
       "10     72   11  intron  TCGA-OL-A66K       ILC\n",
       "11     42   12  intron  TCGA-OL-A66K       ILC\n",
       "12      0   13  intron  TCGA-OL-A66K       ILC\n",
       "13     31   14  intron  TCGA-OL-A66K       ILC\n",
       "\n",
       "[3683 rows x 5 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "sampleList='/home/chelseax/data/ILC_patients.txt'\n",
    "samples = np.loadtxt(sampleList, dtype='object')\n",
    "\n",
    "k = -1\n",
    "m = 0\n",
    "for sp in samples: \n",
    "    for ele in ['exon','intron']:\n",
    "        k += 1\n",
    "        try:\n",
    "            fpath='/pylon5/bi48n4p/chelseax/TCGA15/%s/%sCount.txt'%(sp, ele)\n",
    "            tmp = pd.read_csv(fpath, sep='\\t').iloc[:,[-1]]\n",
    "            tmp.columns = ['cts']\n",
    "            tmp['num'] = [i+1 for i in range(len(tmp.index))]\n",
    "            tmp['ele'] = [ele] * len(tmp.index)\n",
    "            tmp['sp'] = [sp] * len(tmp.index)\n",
    "            df = tmp if k == 0 else df.append(tmp)\n",
    "        except:\n",
    "            m += 1\n",
    "            print(sp)\n",
    "\n",
    "df['Histology'] = ['ILC'] * len(df.index)            \n",
    "print(df.shape)\n",
    "print(k, m)\n",
    "df "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv('/pylon5/bi48n4p/chelseax/TCGA15/ILC_Cts.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(17864, 5)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>cts</th>\n",
       "      <th>num</th>\n",
       "      <th>ele</th>\n",
       "      <th>sp</th>\n",
       "      <th>Histology</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>296</td>\n",
       "      <td>1</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1581</td>\n",
       "      <td>2</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1122</td>\n",
       "      <td>3</td>\n",
       "      <td>exon</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>IDC</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    cts  num   ele            sp Histology\n",
       "0   296    1  exon  TCGA-A1-A0SD       IDC\n",
       "1  1581    2  exon  TCGA-A1-A0SD       IDC\n",
       "2  1122    3  exon  TCGA-A1-A0SD       IDC"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "IDC = pd.read_csv('/pylon5/bi48n4p/chelseax/TCGA15/IDC_Cts.csv', header=0, index_col=0)\n",
    "ILC = pd.read_csv('/pylon5/bi48n4p/chelseax/TCGA15/ILC_Cts.csv', header=0, index_col=0)\n",
    "df = IDC.append(ILC) \n",
    "print(df.shape )\n",
    "\n",
    "df.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/chelseax/codes\r\n"
     ]
    }
   ],
   "source": [
    "!pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "tcga = pd.read_csv('/home/chelseax/projects/TCGA15/tcga.Cts.csv', index_col=0)\n",
    "tcgaSum = pd.DataFrame({'sp':tcga.index, 'SumCts':np.sum(tcga.values, axis=1)})\n",
    "\n",
    "df_mg = pd.merge(tcgaSum, df, on='sp')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "df_mg['normCts'] = np.log2(np.divide(df_mg['cts'].values,df_mg['SumCts'].values)+1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "\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>SumCts</th>\n",
       "      <th>sp</th>\n",
       "      <th>cts</th>\n",
       "      <th>num</th>\n",
       "      <th>ele</th>\n",
       "      <th>Histology</th>\n",
       "      <th>normCts</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.855129e+07</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>296</td>\n",
       "      <td>1</td>\n",
       "      <td>exon</td>\n",
       "      <td>IDC</td>\n",
       "      <td>2.301912e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.855129e+07</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>1581</td>\n",
       "      <td>2</td>\n",
       "      <td>exon</td>\n",
       "      <td>IDC</td>\n",
       "      <td>1.229458e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.855129e+07</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>1122</td>\n",
       "      <td>3</td>\n",
       "      <td>exon</td>\n",
       "      <td>IDC</td>\n",
       "      <td>8.725297e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.855129e+07</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>1370</td>\n",
       "      <td>4</td>\n",
       "      <td>exon</td>\n",
       "      <td>IDC</td>\n",
       "      <td>1.065381e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.855129e+07</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>1317</td>\n",
       "      <td>5</td>\n",
       "      <td>exon</td>\n",
       "      <td>IDC</td>\n",
       "      <td>1.024167e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1.855129e+07</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>1644</td>\n",
       "      <td>6</td>\n",
       "      <td>exon</td>\n",
       "      <td>IDC</td>\n",
       "      <td>1.278448e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1.855129e+07</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>1201</td>\n",
       "      <td>7</td>\n",
       "      <td>exon</td>\n",
       "      <td>IDC</td>\n",
       "      <td>9.339625e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1.855129e+07</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>2192</td>\n",
       "      <td>8</td>\n",
       "      <td>exon</td>\n",
       "      <td>IDC</td>\n",
       "      <td>1.704572e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1.855129e+07</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>2776</td>\n",
       "      <td>9</td>\n",
       "      <td>exon</td>\n",
       "      <td>IDC</td>\n",
       "      <td>2.158676e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1.855129e+07</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>1714</td>\n",
       "      <td>10</td>\n",
       "      <td>exon</td>\n",
       "      <td>IDC</td>\n",
       "      <td>1.332881e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1.855129e+07</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>3682</td>\n",
       "      <td>11</td>\n",
       "      <td>exon</td>\n",
       "      <td>IDC</td>\n",
       "      <td>2.863131e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1.855129e+07</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>3018</td>\n",
       "      <td>12</td>\n",
       "      <td>exon</td>\n",
       "      <td>IDC</td>\n",
       "      <td>2.346845e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1.855129e+07</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>1463</td>\n",
       "      <td>13</td>\n",
       "      <td>exon</td>\n",
       "      <td>IDC</td>\n",
       "      <td>1.137700e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1.855129e+07</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>1270</td>\n",
       "      <td>14</td>\n",
       "      <td>exon</td>\n",
       "      <td>IDC</td>\n",
       "      <td>9.876188e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1.855129e+07</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>49920</td>\n",
       "      <td>15</td>\n",
       "      <td>exon</td>\n",
       "      <td>IDC</td>\n",
       "      <td>3.876961e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1.855129e+07</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>107</td>\n",
       "      <td>1</td>\n",
       "      <td>intron</td>\n",
       "      <td>IDC</td>\n",
       "      <td>8.321144e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1.855129e+07</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>intron</td>\n",
       "      <td>IDC</td>\n",
       "      <td>3.888396e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1.855129e+07</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>intron</td>\n",
       "      <td>IDC</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1.855129e+07</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>intron</td>\n",
       "      <td>IDC</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1.855129e+07</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>intron</td>\n",
       "      <td>IDC</td>\n",
       "      <td>5.443754e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1.855129e+07</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>intron</td>\n",
       "      <td>IDC</td>\n",
       "      <td>3.110717e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1.855129e+07</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>16</td>\n",
       "      <td>7</td>\n",
       "      <td>intron</td>\n",
       "      <td>IDC</td>\n",
       "      <td>1.244286e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1.855129e+07</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>intron</td>\n",
       "      <td>IDC</td>\n",
       "      <td>3.110717e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1.855129e+07</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>55</td>\n",
       "      <td>9</td>\n",
       "      <td>intron</td>\n",
       "      <td>IDC</td>\n",
       "      <td>4.277229e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1.855129e+07</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "      <td>intron</td>\n",
       "      <td>IDC</td>\n",
       "      <td>1.555358e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1.855129e+07</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>172</td>\n",
       "      <td>11</td>\n",
       "      <td>intron</td>\n",
       "      <td>IDC</td>\n",
       "      <td>1.337602e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1.855129e+07</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>85</td>\n",
       "      <td>12</td>\n",
       "      <td>intron</td>\n",
       "      <td>IDC</td>\n",
       "      <td>6.610258e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1.855129e+07</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>6</td>\n",
       "      <td>13</td>\n",
       "      <td>intron</td>\n",
       "      <td>IDC</td>\n",
       "      <td>4.666075e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1.855129e+07</td>\n",
       "      <td>TCGA-A1-A0SD</td>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "      <td>intron</td>\n",
       "      <td>IDC</td>\n",
       "      <td>1.166518e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1.883962e+07</td>\n",
       "      <td>TCGA-A1-A0SE</td>\n",
       "      <td>357</td>\n",
       "      <td>1</td>\n",
       "      <td>exon</td>\n",
       "      <td>ILC</td>\n",
       "      <td>2.733799e-05</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17834</th>\n",
       "      <td>1.915820e+07</td>\n",
       "      <td>TCGA-OL-A66I</td>\n",
       "      <td>9</td>\n",
       "      <td>14</td>\n",
       "      <td>intron</td>\n",
       "      <td>IDC</td>\n",
       "      <td>6.777386e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17835</th>\n",
       "      <td>1.761385e+07</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>exon</td>\n",
       "      <td>ILC</td>\n",
       "      <td>5.733479e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17836</th>\n",
       "      <td>1.761385e+07</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>25</td>\n",
       "      <td>2</td>\n",
       "      <td>exon</td>\n",
       "      <td>ILC</td>\n",
       "      <td>2.047670e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17837</th>\n",
       "      <td>1.761385e+07</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>15</td>\n",
       "      <td>3</td>\n",
       "      <td>exon</td>\n",
       "      <td>ILC</td>\n",
       "      <td>1.228602e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17838</th>\n",
       "      <td>1.761385e+07</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>25</td>\n",
       "      <td>4</td>\n",
       "      <td>exon</td>\n",
       "      <td>ILC</td>\n",
       "      <td>2.047670e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17839</th>\n",
       "      <td>1.761385e+07</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>20</td>\n",
       "      <td>5</td>\n",
       "      <td>exon</td>\n",
       "      <td>ILC</td>\n",
       "      <td>1.638136e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17840</th>\n",
       "      <td>1.761385e+07</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>24</td>\n",
       "      <td>6</td>\n",
       "      <td>exon</td>\n",
       "      <td>ILC</td>\n",
       "      <td>1.965763e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17841</th>\n",
       "      <td>1.761385e+07</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>19</td>\n",
       "      <td>7</td>\n",
       "      <td>exon</td>\n",
       "      <td>ILC</td>\n",
       "      <td>1.556230e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17842</th>\n",
       "      <td>1.761385e+07</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>31</td>\n",
       "      <td>8</td>\n",
       "      <td>exon</td>\n",
       "      <td>ILC</td>\n",
       "      <td>2.539110e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17843</th>\n",
       "      <td>1.761385e+07</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>56</td>\n",
       "      <td>9</td>\n",
       "      <td>exon</td>\n",
       "      <td>ILC</td>\n",
       "      <td>4.586777e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17844</th>\n",
       "      <td>1.761385e+07</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>48</td>\n",
       "      <td>10</td>\n",
       "      <td>exon</td>\n",
       "      <td>ILC</td>\n",
       "      <td>3.931524e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17845</th>\n",
       "      <td>1.761385e+07</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>100</td>\n",
       "      <td>11</td>\n",
       "      <td>exon</td>\n",
       "      <td>ILC</td>\n",
       "      <td>8.190663e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17846</th>\n",
       "      <td>1.761385e+07</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>69</td>\n",
       "      <td>12</td>\n",
       "      <td>exon</td>\n",
       "      <td>ILC</td>\n",
       "      <td>5.651562e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17847</th>\n",
       "      <td>1.761385e+07</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>31</td>\n",
       "      <td>13</td>\n",
       "      <td>exon</td>\n",
       "      <td>ILC</td>\n",
       "      <td>2.539110e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17848</th>\n",
       "      <td>1.761385e+07</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>27</td>\n",
       "      <td>14</td>\n",
       "      <td>exon</td>\n",
       "      <td>ILC</td>\n",
       "      <td>2.211484e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17849</th>\n",
       "      <td>1.761385e+07</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>1866</td>\n",
       "      <td>15</td>\n",
       "      <td>exon</td>\n",
       "      <td>ILC</td>\n",
       "      <td>1.528301e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17850</th>\n",
       "      <td>1.761385e+07</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>134</td>\n",
       "      <td>1</td>\n",
       "      <td>intron</td>\n",
       "      <td>ILC</td>\n",
       "      <td>1.097548e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17851</th>\n",
       "      <td>1.761385e+07</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>intron</td>\n",
       "      <td>ILC</td>\n",
       "      <td>6.552547e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17852</th>\n",
       "      <td>1.761385e+07</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>intron</td>\n",
       "      <td>ILC</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17853</th>\n",
       "      <td>1.761385e+07</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>intron</td>\n",
       "      <td>ILC</td>\n",
       "      <td>4.095342e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17854</th>\n",
       "      <td>1.761385e+07</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>intron</td>\n",
       "      <td>ILC</td>\n",
       "      <td>4.914411e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17855</th>\n",
       "      <td>1.761385e+07</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>intron</td>\n",
       "      <td>ILC</td>\n",
       "      <td>2.457206e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17856</th>\n",
       "      <td>1.761385e+07</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>intron</td>\n",
       "      <td>ILC</td>\n",
       "      <td>3.276274e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17857</th>\n",
       "      <td>1.761385e+07</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>11</td>\n",
       "      <td>8</td>\n",
       "      <td>intron</td>\n",
       "      <td>ILC</td>\n",
       "      <td>9.009752e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17858</th>\n",
       "      <td>1.761385e+07</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "      <td>intron</td>\n",
       "      <td>ILC</td>\n",
       "      <td>1.720043e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17859</th>\n",
       "      <td>1.761385e+07</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>25</td>\n",
       "      <td>10</td>\n",
       "      <td>intron</td>\n",
       "      <td>ILC</td>\n",
       "      <td>2.047670e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17860</th>\n",
       "      <td>1.761385e+07</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>72</td>\n",
       "      <td>11</td>\n",
       "      <td>intron</td>\n",
       "      <td>ILC</td>\n",
       "      <td>5.897282e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17861</th>\n",
       "      <td>1.761385e+07</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>42</td>\n",
       "      <td>12</td>\n",
       "      <td>intron</td>\n",
       "      <td>ILC</td>\n",
       "      <td>3.440084e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17862</th>\n",
       "      <td>1.761385e+07</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>intron</td>\n",
       "      <td>ILC</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17863</th>\n",
       "      <td>1.761385e+07</td>\n",
       "      <td>TCGA-OL-A66K</td>\n",
       "      <td>31</td>\n",
       "      <td>14</td>\n",
       "      <td>intron</td>\n",
       "      <td>ILC</td>\n",
       "      <td>2.539110e-06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>17864 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             SumCts            sp    cts  num     ele Histology       normCts\n",
       "0      1.855129e+07  TCGA-A1-A0SD    296    1    exon       IDC  2.301912e-05\n",
       "1      1.855129e+07  TCGA-A1-A0SD   1581    2    exon       IDC  1.229458e-04\n",
       "2      1.855129e+07  TCGA-A1-A0SD   1122    3    exon       IDC  8.725297e-05\n",
       "3      1.855129e+07  TCGA-A1-A0SD   1370    4    exon       IDC  1.065381e-04\n",
       "4      1.855129e+07  TCGA-A1-A0SD   1317    5    exon       IDC  1.024167e-04\n",
       "5      1.855129e+07  TCGA-A1-A0SD   1644    6    exon       IDC  1.278448e-04\n",
       "6      1.855129e+07  TCGA-A1-A0SD   1201    7    exon       IDC  9.339625e-05\n",
       "7      1.855129e+07  TCGA-A1-A0SD   2192    8    exon       IDC  1.704572e-04\n",
       "8      1.855129e+07  TCGA-A1-A0SD   2776    9    exon       IDC  2.158676e-04\n",
       "9      1.855129e+07  TCGA-A1-A0SD   1714   10    exon       IDC  1.332881e-04\n",
       "10     1.855129e+07  TCGA-A1-A0SD   3682   11    exon       IDC  2.863131e-04\n",
       "11     1.855129e+07  TCGA-A1-A0SD   3018   12    exon       IDC  2.346845e-04\n",
       "12     1.855129e+07  TCGA-A1-A0SD   1463   13    exon       IDC  1.137700e-04\n",
       "13     1.855129e+07  TCGA-A1-A0SD   1270   14    exon       IDC  9.876188e-05\n",
       "14     1.855129e+07  TCGA-A1-A0SD  49920   15    exon       IDC  3.876961e-03\n",
       "15     1.855129e+07  TCGA-A1-A0SD    107    1  intron       IDC  8.321144e-06\n",
       "16     1.855129e+07  TCGA-A1-A0SD      5    2  intron       IDC  3.888396e-07\n",
       "17     1.855129e+07  TCGA-A1-A0SD      0    3  intron       IDC  0.000000e+00\n",
       "18     1.855129e+07  TCGA-A1-A0SD      0    4  intron       IDC  0.000000e+00\n",
       "19     1.855129e+07  TCGA-A1-A0SD      7    5  intron       IDC  5.443754e-07\n",
       "20     1.855129e+07  TCGA-A1-A0SD      4    6  intron       IDC  3.110717e-07\n",
       "21     1.855129e+07  TCGA-A1-A0SD     16    7  intron       IDC  1.244286e-06\n",
       "22     1.855129e+07  TCGA-A1-A0SD      4    8  intron       IDC  3.110717e-07\n",
       "23     1.855129e+07  TCGA-A1-A0SD     55    9  intron       IDC  4.277229e-06\n",
       "24     1.855129e+07  TCGA-A1-A0SD     20   10  intron       IDC  1.555358e-06\n",
       "25     1.855129e+07  TCGA-A1-A0SD    172   11  intron       IDC  1.337602e-05\n",
       "26     1.855129e+07  TCGA-A1-A0SD     85   12  intron       IDC  6.610258e-06\n",
       "27     1.855129e+07  TCGA-A1-A0SD      6   13  intron       IDC  4.666075e-07\n",
       "28     1.855129e+07  TCGA-A1-A0SD     15   14  intron       IDC  1.166518e-06\n",
       "29     1.883962e+07  TCGA-A1-A0SE    357    1    exon       ILC  2.733799e-05\n",
       "...             ...           ...    ...  ...     ...       ...           ...\n",
       "17834  1.915820e+07  TCGA-OL-A66I      9   14  intron       IDC  6.777386e-07\n",
       "17835  1.761385e+07  TCGA-OL-A66K      7    1    exon       ILC  5.733479e-07\n",
       "17836  1.761385e+07  TCGA-OL-A66K     25    2    exon       ILC  2.047670e-06\n",
       "17837  1.761385e+07  TCGA-OL-A66K     15    3    exon       ILC  1.228602e-06\n",
       "17838  1.761385e+07  TCGA-OL-A66K     25    4    exon       ILC  2.047670e-06\n",
       "17839  1.761385e+07  TCGA-OL-A66K     20    5    exon       ILC  1.638136e-06\n",
       "17840  1.761385e+07  TCGA-OL-A66K     24    6    exon       ILC  1.965763e-06\n",
       "17841  1.761385e+07  TCGA-OL-A66K     19    7    exon       ILC  1.556230e-06\n",
       "17842  1.761385e+07  TCGA-OL-A66K     31    8    exon       ILC  2.539110e-06\n",
       "17843  1.761385e+07  TCGA-OL-A66K     56    9    exon       ILC  4.586777e-06\n",
       "17844  1.761385e+07  TCGA-OL-A66K     48   10    exon       ILC  3.931524e-06\n",
       "17845  1.761385e+07  TCGA-OL-A66K    100   11    exon       ILC  8.190663e-06\n",
       "17846  1.761385e+07  TCGA-OL-A66K     69   12    exon       ILC  5.651562e-06\n",
       "17847  1.761385e+07  TCGA-OL-A66K     31   13    exon       ILC  2.539110e-06\n",
       "17848  1.761385e+07  TCGA-OL-A66K     27   14    exon       ILC  2.211484e-06\n",
       "17849  1.761385e+07  TCGA-OL-A66K   1866   15    exon       ILC  1.528301e-04\n",
       "17850  1.761385e+07  TCGA-OL-A66K    134    1  intron       ILC  1.097548e-05\n",
       "17851  1.761385e+07  TCGA-OL-A66K      8    2  intron       ILC  6.552547e-07\n",
       "17852  1.761385e+07  TCGA-OL-A66K      0    3  intron       ILC  0.000000e+00\n",
       "17853  1.761385e+07  TCGA-OL-A66K      5    4  intron       ILC  4.095342e-07\n",
       "17854  1.761385e+07  TCGA-OL-A66K      6    5  intron       ILC  4.914411e-07\n",
       "17855  1.761385e+07  TCGA-OL-A66K      3    6  intron       ILC  2.457206e-07\n",
       "17856  1.761385e+07  TCGA-OL-A66K      4    7  intron       ILC  3.276274e-07\n",
       "17857  1.761385e+07  TCGA-OL-A66K     11    8  intron       ILC  9.009752e-07\n",
       "17858  1.761385e+07  TCGA-OL-A66K     21    9  intron       ILC  1.720043e-06\n",
       "17859  1.761385e+07  TCGA-OL-A66K     25   10  intron       ILC  2.047670e-06\n",
       "17860  1.761385e+07  TCGA-OL-A66K     72   11  intron       ILC  5.897282e-06\n",
       "17861  1.761385e+07  TCGA-OL-A66K     42   12  intron       ILC  3.440084e-06\n",
       "17862  1.761385e+07  TCGA-OL-A66K      0   13  intron       ILC  0.000000e+00\n",
       "17863  1.761385e+07  TCGA-OL-A66K     31   14  intron       ILC  2.539110e-06\n",
       "\n",
       "[17864 rows x 7 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_mg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1818b5d208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjwAAABECAYAAACF4e8fAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAAAhBJREFUeJzt26FqHFEYhuF/S0VqCiGiFHoLUaPiEheIjVj2CioK9SvCUlGIr6iIXiJiA3FdFzV3UBlIWyiFmsZNb2B3VYez/XgeOcd8MOZlDjMZhqEAAJI9az0AAGBsggcAiCd4AIB4ggcAiCd4AIB4z7cd9n3vFy4A4L/Rdd1k3fOtwVNVtVg+/Ps1O2Ixe1P7dx9bzxjNr9N5XX69aj1jFO+XP2rvYl5PHzLf397FvG6Xj61njOZs9rrubz61njGao/N39fLLn9YzRvP75EWtVqvWM0ZxfPit6mBa9fO69ZRxHEzr8/e1PRDh7avN32lcaQEA8QQPABBP8AAA8QQPABBP8AAA8QQPABBP8AAA8QQPABBP8AAA8QQPABBP8AAA8QQPABBP8AAA8QQPABBP8AAA8QQPABBP8AAA8QQPABBP8AAA8QQPABBP8AAA8QQPABBP8AAA8QQPABBP8AAA8QQPABBP8AAA8QQPABBP8AAA8QQPABBP8AAA8QQPABBP8AAA8QQPABBP8AAA8QQPABBP8AAA8QQPABBP8AAA8QQPABBP8AAA8QQPABBP8AAA8QQPABBP8AAA8QQPABBP8AAA8QQPABBP8AAA8QQPABBP8AAA8QQPABBP8AAA8SbDMGw87Pt+8yEAwI7pum6y7vnW4AEASOBKCwCIJ3gAgHiCBwCIJ3gAgHiCBwCI9xdFnTGBU2Y8iwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1818b5d080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.palplot(sns.color_palette('deep'))\n",
    "sns.palplot([(0.2980392156862745, 0.4470588235294118, 0.6901960784313725),\n",
    " (0.8666666666666667, 0.5176470588235295, 0.3215686274509804),\n",
    " (0.3333333333333333, 0.6588235294117647, 0.40784313725490196),\n",
    " (0.7686274509803922, 0.3058823529411765, 0.3215686274509804),\n",
    " (0.5058823529411764, 0.4470588235294118, 0.7019607843137254),\n",
    " (0.5764705882352941, 0.47058823529411764, 0.3764705882352941),\n",
    " (0.8549019607843137, 0.5450980392156862, 0.7647058823529411),\n",
    " (0.5490196078431373, 0.5490196078431373, 0.5490196078431373),\n",
    " (0.8, 0.7254901960784313, 0.4549019607843137),\n",
    " (0.39215686274509803, 0.7098039215686275, 0.803921568627451)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns \n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt \n",
    "sns.set(context='notebook', style='whitegrid', palette='deep', font='sans-serif', font_scale=1, color_codes=True)\n",
    "mpl.rcParams['figure.dpi'] = 300\n",
    "%matplotlib inline\n",
    "\n",
    "colors = [(0.8666666666666667, 0.5176470588235295, 0.3215686274509804),\n",
    " (0.3333333333333333, 0.6588235294117647, 0.40784313725490196)]\n",
    "# Set your custom color palette\n",
    "customPalette = sns.set_palette(sns.color_palette(colors))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'Log normalized counts')"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f181393e710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_p = df_mg[df_mg['num'] < 15]\n",
    "df_p = df_p[df_p['ele']=='exon']\n",
    "\n",
    "fig = plt.figure(figsize=(8,2), dpi=300)\n",
    "sns.boxplot(x='num', hue='Histology',y='normCts', data=df_p, linewidth = .5, fliersize=.5)\n",
    "sns.swarmplot(x='num', hue='Histology',y='normCts', dodge=True, data=df_p, s=.3, color='k')\n",
    "plt.xlabel('Exon')\n",
    "plt.ylabel('Log normalized counts')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'Log normalized counts')"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f18131a6390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_p = df_mg[df_mg['num'] < 15]\n",
    "df_p = df_p[df_p['ele']=='intron']\n",
    "\n",
    "fig = plt.figure(figsize=(8,2), dpi=300)\n",
    "sns.boxplot(x='num', hue='Histology',y='normCts', data=df_p, linewidth = .5, fliersize=.5)\n",
    "sns.swarmplot(x='num', hue='Histology',y='normCts', dodge=True, data=df_p, s=.5, color='k')\n",
    "\n",
    "plt.xlabel('Intron')\n",
    "plt.ylabel('Log normalized counts')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'Log normalized counts')"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1812ee0860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_p = df_mg[df_mg['num'] < 15]\n",
    "df_p = df_p[df_p['ele']=='intron']\n",
    "\n",
    "fig = plt.figure(figsize=(8,2), dpi=300)\n",
    "sns.boxplot(x='num', hue='Histology',y='normCts', data=df_p, linewidth = .5, fliersize=.5)\n",
    "sns.swarmplot(x='num', hue='Histology',y='normCts', dodge=True, data=df_p, s=.3, color='k')\n",
    "\n",
    "plt.axis([None, None, 0, 0.00005])\n",
    "plt.xlabel('Intron')\n",
    "plt.ylabel('Log normalized counts')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['/opt/packages/anaconda/anaconda3-5.1.0/lib/python3.6/site-packages/seaborn']"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sns.__path__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/opt/packages/anaconda/anaconda3-5.1.0/bin/conda\r\n"
     ]
    }
   ],
   "source": [
    "!which conda"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/home/chelseax/codes'"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.7.6"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}