Language_DetectorFR_Prep.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    We are trying to program a program for language detection, using neural networks and training data from: http://www.statmt.org/europarl/ "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os #To manage access to directories from python\n",
    "import string\n",
    "import unicodedata\n",
    "from nltk import ngrams\n",
    "import pickle\n",
    "import time\n",
    "import pandas as pd\n",
    "import nltk\n",
    "import operator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "rootdir=\"C:\\\\Users\\\\YsfDS\\\\Documents\\\\AI Project\\\\Data\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Acquiring data from different language directories, then we create a dictionary for which keys are the languages and the value is a list of lists representing each file. Every element of the sub-list is a line of the file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "def aquire_data(files):\n",
    "    return_list=[]\n",
    "    for file in files:\n",
    "        with open (file,encoding=\"latin-1\") as f:\n",
    "            temp_list=[]\n",
    "            for line in f.readlines():\n",
    "                temp_list.append(line)\n",
    "        return_list.append(temp_list)\n",
    "    return(return_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "def load_separate(directory):\n",
    "    language_dict={}\n",
    "    for directory,subdirectories,subfiles in os.walk(directory):#os.walk does a simple task it prints a 3 value tuple (current folder,list of sub directories,list of sub files) \n",
    "        current_directory=os.path.split(directory)[1]\n",
    "        if (current_directory == 'portuguese'):\n",
    "            language_dict['portuguese']=aquire_data([os.path.join(directory,subfile) for subfile in subfiles])\n",
    "        elif (current_directory == 'french'):\n",
    "            language_dict['french']=aquire_data([os.path.join(directory,subfile) for subfile in subfiles])\n",
    "        elif (current_directory == 'spanish'):\n",
    "            language_dict['spanish']=aquire_data([os.path.join(directory,subfile) for subfile in subfiles])\n",
    "        elif (current_directory == 'italian'):\n",
    "            language_dict['italian']=aquire_data([os.path.join(directory,subfile) for subfile in subfiles])\n",
    "    return(language_dict)\n",
    "        "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we do the cleaning of the sentences extracted from files, this process consists of:\n",
    "\n",
    "1- Remove punctuation.\n",
    "\n",
    "2- Unicode allows multiple character sequences to represent the same string. For example, the string \"capital A with two dots\" can be represented as a single character \"\\u00C4\", or as the two characters \"A\\u0308\". The Unicode standard defines multiple ways to \"normalize\" a Unicode string so different ways of representing a given string map to the same \"canonical form\". Normalizing Unicode strings is necessary in order to consistently compare or sort strings in languages with accented characters. \n",
    "\n",
    "3-Tokenize to changer to lower case and eliminate alpha-numeric/numeric tokens."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [],
   "source": [
    "def clean_line(line):\n",
    "    line=''.join(el for el in line if el not in set(string.punctuation)) #Removing punctuation\n",
    "    line = unicodedata.normalize('NFD', line).encode('ascii', 'ignore') #First by normalize we assure that same caracter from different files would be compared the right way, #With encode we change the codage of a string with options when errors occur ignoring in this case. \n",
    "    line = line.decode('UTF-8')  #f-1 of encode.\n",
    "    line=line.split()\n",
    "    line=[word.lower() for word in line]\n",
    "    line=[word for word in line if word.isalpha()]\n",
    "    line=' '.join(line)\n",
    "    return(line)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "initial_dict=load_separate(rootdir)\n",
    "with open ('initial_dict','wb') as pickle_out:\n",
    "    pickle.dump(initial_dict,pickle_out)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cleaning lines of files by language:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "778.0771102905273\n"
     ]
    }
   ],
   "source": [
    "fr_files=initial_dict['french']\n",
    "#print(clean_line(fr_files[0][0:5]))\n",
    "start=time.time()\n",
    "for i in range (0,len(fr_files)):\n",
    "    for j in range (0,len(fr_files[i])):\n",
    "        fr_files[i][j]=clean_line(fr_files[i][j])\n",
    "end = time.time()\n",
    "print(end - start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "858.3679540157318\n"
     ]
    }
   ],
   "source": [
    "sp_files=initial_dict['spanish']\n",
    "#print(clean_line(fr_files[0][0:5]))\n",
    "start=time.time()\n",
    "for i in range (0,len(sp_files)):\n",
    "    for j in range (0,len(sp_files[i])):\n",
    "        sp_files[i][j]=clean_line(sp_files[i][j])\n",
    "end = time.time()\n",
    "print(end - start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "829.4154944419861\n"
     ]
    }
   ],
   "source": [
    "it_files=initial_dict['italian']\n",
    "#print(clean_line(fr_files[0][0:5]))\n",
    "start=time.time()\n",
    "for i in range (0,len(it_files)):\n",
    "    for j in range (0,len(it_files[i])):\n",
    "        it_files[i][j]=clean_line(it_files[i][j])\n",
    "end = time.time()\n",
    "print(end - start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "823.8137321472168\n"
     ]
    }
   ],
   "source": [
    "pt_files=initial_dict['portuguese']\n",
    "#print(clean_line(fr_files[0][0:5]))\n",
    "start=time.time()\n",
    "for i in range (0,len(pt_files)):\n",
    "    for j in range (0,len(pt_files[i])):\n",
    "        pt_files[i][j]=clean_line(pt_files[i][j])\n",
    "end = time.time()\n",
    "print(end - start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_dict={}\n",
    "final_dict['french']=fr_files\n",
    "final_dict['spanish']=sp_files\n",
    "final_dict['italian']=it_files\n",
    "final_dict['portuguese']=pt_files"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Saving cleaned dictionary."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open ('final_dict','wb') as pickle_out2:\n",
    "    pickle.dump(final_dict,pickle_out2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    Now we have a dictionnary, its keys are the languages and the values are lists representing files and each file is represented by a list containing the cleaned lines of the file. \n",
    "    \n",
    "    Well now let's prepare our features: we will use n-grams (Trigrams to be exact)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "17.74961566925049\n"
     ]
    }
   ],
   "source": [
    "start=time.time()\n",
    "with open('final_dict','rb') as pickle_in:\n",
    "    final_dict = pickle.load(pickle_in)\n",
    "end=time.time()\n",
    "print(end-start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "fr_files=final_dict['french']\n",
    "#sp_files=final_dict['spanish']\n",
    "#it_files=final_dict['italian']\n",
    "#pt_files=final_dict['portuguese']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "del(final_dict) #unbind to release memory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "def generate_ngram(term,n):\n",
    "    generated_ngrams = ngrams(term,n)\n",
    "    return(generated_ngrams)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "h=generate_ngram('Hello everyone! I am been trigrammed',3)\n",
    "g=list(h)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('H', 'e', 'l') 1\n",
      "('e', 'l', 'l') 1\n",
      "('l', 'l', 'o') 1\n",
      "('l', 'o', ' ') 1\n",
      "('o', ' ', 'e') 1\n",
      "(' ', 'e', 'v') 1\n",
      "('e', 'v', 'e') 1\n",
      "('v', 'e', 'r') 1\n",
      "('e', 'r', 'y') 1\n",
      "('r', 'y', 'o') 1\n",
      "('y', 'o', 'n') 1\n",
      "('o', 'n', 'e') 1\n",
      "('n', 'e', '!') 1\n",
      "('e', '!', ' ') 1\n",
      "('!', ' ', 'I') 1\n",
      "(' ', 'I', ' ') 1\n",
      "('I', ' ', 'a') 1\n",
      "(' ', 'a', 'm') 1\n",
      "('a', 'm', ' ') 1\n",
      "('m', ' ', 'b') 1\n",
      "(' ', 'b', 'e') 1\n",
      "('b', 'e', 'e') 1\n",
      "('e', 'e', 'n') 1\n",
      "('e', 'n', ' ') 1\n",
      "('n', ' ', 't') 1\n",
      "(' ', 't', 'r') 1\n",
      "('t', 'r', 'i') 1\n",
      "('r', 'i', 'g') 1\n",
      "('i', 'g', 'r') 1\n",
      "('g', 'r', 'a') 1\n",
      "('r', 'a', 'm') 1\n",
      "('a', 'm', 'm') 1\n",
      "('m', 'm', 'e') 1\n",
      "('m', 'e', 'd') 1\n"
     ]
    }
   ],
   "source": [
    "for k,v in nltk.FreqDist(g).items():\n",
    "    print(k,v)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def language_ngrams(files):\n",
    "    ngrams_list={}\n",
    "    i=0\n",
    "    for file in files:\n",
    "        ngrams_list[i]=generate_ngram(file,3)\n",
    "        i=i+1\n",
    "    return(ngrams_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "nfr_files=[' '.join(f) for f in fr_files] "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now all files in nfr_lines will be a plain cleaned text, all in one list. Ready for language_ngrams.\n",
    "language_ngrams calls for generate_ngram which takes a token and creates a generator object (which is in the comutationaly speaking very powerfull compared to doing it the classic way), listing this object returns a list of n-grams as 3 elements tuples."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "del(fr_files) #We now use nfr_files instead ==> release ressources!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this following code I'm creating trigrams for all the files in the french dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.10933971405029297\n"
     ]
    }
   ],
   "source": [
    "start=time.time()\n",
    "r=language_ngrams(nfr_files)\n",
    "end=time.time()\n",
    "print(end-start)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Turning those generator objects we talked about earlier to lists."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4236.878187656403\n"
     ]
    }
   ],
   "source": [
    "start=time.time()\n",
    "l=[]\n",
    "for i in range(0,len(r)):\n",
    "    l.append(list(r[i]))\n",
    "end=time.time()\n",
    "print(end-start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "del(r) #We are working with l now instead so release memory, I won't get bored of saying it so hhh."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Well, if you are going so well till here and you too only have 8Go of Ram like me :( . U'll notice that almost half of it is taken by l, and if you try to pickle it, you'll consistenly face memory error and even worst than that wait for 2 hours and face it too xD. So as an alternative I created a folder in the project directory and pickled only small portions of l. 10 enteries to be exact. Don't forget to close files you open with pickle or use the 'with' statement as it deals with it automatically. So, now we have 945 files each containing 10 files each of them is 'trigrammed'."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2605.944283723831\n"
     ]
    }
   ],
   "source": [
    "start=time.time()\n",
    "for i in range (0,945):\n",
    "    fr_trigrams=l[i*10:(i+1)*10]\n",
    "    file_name=\"C:\\\\Users\\\\YsfDS\\\\Documents\\\\AI Project\\\\trigrams\\\\\"+'fr_trigrams'+str(i+1)\n",
    "    with open (file_name,'wb') as pickle_out31:\n",
    "        pickle.dump(fr_trigrams1,pickle_out31)\n",
    "end=time.time()\n",
    "print(end-start)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, I'm loading those pickeled files and directly applying the frequency_dataframe() function to them, this function is bellow so obviously run it first hh. Anyway, I've tried many algorithms to do this AKA counting the frequencies for the trigrams but by far, nltk.FreqDist is the fastest I found, so you might wanna use that. Unless you are okay with waiting for 34H which is the best optimized algorithm I could have come with. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4858.647314071655\n"
     ]
    }
   ],
   "source": [
    "start=time.time()\n",
    "final=[]\n",
    "for i in range (0,945):\n",
    "    file_name=\"C:\\\\Users\\\\YsfDS\\\\Documents\\\\AI Project\\\\trigrams\\\\\"+'fr_trigrams'+str(i+1)\n",
    "    with open(file_name,'rb') as pickle_in:\n",
    "        final.append(frequency_dataframe(pickle.load(pickle_in)))\n",
    "    del pickle_in\n",
    "end=time.time()\n",
    "print(end-start)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Okay, 4858 seconds, fair enough, I expected more. Dump pickle_in so that the garbage collector can free the space taken.\n",
    "Because, I'm paranoid I'll just dump final too right now, before this crashes and I lose everything yet again."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "34.31194090843201\n"
     ]
    }
   ],
   "source": [
    "start=time.time()\n",
    "for i in range (0,945):\n",
    "    file_name=\"C:\\\\Users\\\\YsfDS\\\\Documents\\\\AI Project\\\\fr_frequency\\\\\"+'fr_frequency'+str(i+1)\n",
    "    with open (file_name,'wb') as pickle_out32:\n",
    "        pickle.dump(final[i],pickle_out32)\n",
    "end=time.time()\n",
    "print(end-start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "def frequency_dataframe(trigram_file):\n",
    "    h=[]\n",
    "    for file in trigram_file:\n",
    "        h.append(nltk.FreqDist(file))\n",
    "    return(h)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "313.90294790267944\n"
     ]
    }
   ],
   "source": [
    "start=time.time()\n",
    "final=[]\n",
    "for i in range (0,945):\n",
    "    file_name=\"C:\\\\Users\\\\YsfDS\\\\Documents\\\\AI Project\\\\fr_frequency\\\\\"+'fr_frequency'+str(i+1)\n",
    "    with open (file_name,'rb') as pickle_in332:\n",
    "        final.append(pickle.load(pickle_in332))\n",
    "    del(pickle_in332)\n",
    "end=time.time()\n",
    "print(end-start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def extract_max_trigrams(freq_dictt):\n",
    "    new_dict={}\n",
    "    for key in freq_dictt:\n",
    "        if (freq_dictt[key]>=300):\n",
    "            new_dict[key]=freq_dictt[key]\n",
    "    return(sorted(new_dict.items(),key=operator.itemgetter(1)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To be frank we are only interested in trigrams that are redundnant in the dataset which means that they are very representative of the the language. So i choosed that the treshold be 300 occurences, in fact in litterature 300 is the commonly chosen barrier. Anyway, we still can modify later on if our model overfits, that's the only risk we taking right now."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "8.093190908432007\n"
     ]
    }
   ],
   "source": [
    "mn=[]\n",
    "start=time.time()\n",
    "for i in range (0,945):\n",
    "    for dictio in final[i]:\n",
    "        mn.append(extract_max_trigrams(dictio))\n",
    "end=time.time()\n",
    "print(end-start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "del(final) #Release ressources man!!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.015572309494018555\n"
     ]
    }
   ],
   "source": [
    "mnn=[]\n",
    "start=time.time()\n",
    "for i in range (0,len(mn)):\n",
    "    mnn.append(mn[i])\n",
    "end=time.time()\n",
    "print(end-start)            "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now creating a list that contains all 20 top re-occurring trigrams in each file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.4530220031738281\n"
     ]
    }
   ],
   "source": [
    "list_trigrams=[]\n",
    "start=time.time()\n",
    "for i in range (0,len(mnn)):\n",
    "    for j in range (0,len(mnn[i])):\n",
    "        list_trigrams.append(mnn[i][j][0])\n",
    "end=time.time()\n",
    "print(end-start)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's remove redundancies!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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('e', ' ', 'c'), (' ', 'r', 'e'), ('o', 'i', 'n'), ('c', 'e', 't'), ('e', 'l', 'a'), ('o', 'n', 'n'), (' ', 'i', 'l'), ('i', 'r', ' '), ('u', 'r', 'o'), (' ', 'c', 'o'), ('r', 'i', 'e'), ('e', 'r', 'n'), ('h', 'e', ' '), ('e', 'c', ' '), ('q', 'u', 'e'), ('t', ' ', 'd'), (' ', 's', 'o'), ('i', 's', 'e'), (' ', 'a', 'p'), ('e', ' ', 'e'), (' ', 't', 'r'), ('t', 'i', 'q'), ('t', 'i', 'o'), ('m', 'm', 'i'), ('i', 'l', 'i'), ('n', 's', 'i'), ('n', 'e', 's'), ('i', 't', 'u'), ('e', 's', 't'), ('n', 'a', 't'), ('a', ' ', 's'), ('s', 's', 'i'), ('t', 'r', 'e'), ('p', 'e', 'n'), ('t', ' ', 'm'), ('r', ' ', 'n'), ('r', ' ', 'c'), ('a', 'm', 'e'), ('m', 'e', ' '), ('l', 'l', 'e'), ('e', ' ', 's'), ('r', 'e', 's'), ('l', 'e', ' ')}\n"
     ]
    }
   ],
   "source": [
    "fr_features=set(list_trigrams)\n",
    "print(len(fr_features))\n",
    "print(fr_features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "del(mn)\n",
    "del(mnn) #Boy gotta clear those ressources! We don't need them anyway we got our french features vector."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Saving the features vector for French language. \n",
    "Our work is done here, this next phase requires having intitial features for the other languages so we create notebooks for the other languages."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "file_name=\"C:\\\\Users\\\\YsfDS\\\\Documents\\\\AI Project\\\\features\\\\fr_features\"\n",
    "with open (file_name,'wb') as pickle_out32:\n",
    "    pickle.dump(fr_features,pickle_out32)\n",
    "del(pickle_out32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "file_name=\"C:\\\\Users\\\\YsfDS\\\\Documents\\\\AI Project\\\\features\\\\fr_features\"\n",
    "with open (file_name,'rb') as pickle_out32:\n",
    "    fr_features=pickle.load(pickle_out32)\n",
    "del(pickle_out32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "file_name=\"C:\\\\Users\\\\YsfDS\\\\Documents\\\\AI Project\\\\features\\\\sp_features\"\n",
    "with open (file_name,'rb') as pickle_out32:\n",
    "    sp_features=pickle.load(pickle_out32)\n",
    "del(pickle_out32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "file_name=\"C:\\\\Users\\\\YsfDS\\\\Documents\\\\AI Project\\\\features\\\\it_features\"\n",
    "with open (file_name,'rb') as pickle_out32:\n",
    "    it_features=pickle.load(pickle_out32)\n",
    "del(pickle_out32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "file_name=\"C:\\\\Users\\\\YsfDS\\\\Documents\\\\AI Project\\\\features\\\\pt_features\"\n",
    "with open (file_name,'rb') as pickle_out32:\n",
    "    pt_features=pickle.load(pickle_out32)\n",
    "del(pickle_out32)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, I will create features that are specific to a language, since some trigrams might be redundant throught out different languages."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "286\n"
     ]
    }
   ],
   "source": [
    "c=0\n",
    "ffr_features=[]\n",
    "for i in fr_features:\n",
    "    if (i not in it_features and i not in pt_features and i not in sp_features):\n",
    "        c=c+1\n",
    "        ffr_features.append(i)\n",
    "print(c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "57\n"
     ]
    }
   ],
   "source": [
    "d=0\n",
    "fpt_features=[]\n",
    "for i in pt_features:\n",
    "    if (i not in it_features and i not in fr_features and i not in sp_features):\n",
    "        d=d+1\n",
    "        fpt_features.append(i)\n",
    "print(d)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "51\n"
     ]
    }
   ],
   "source": [
    "e=0\n",
    "fsp_features=[]\n",
    "for i in sp_features:\n",
    "    if (i not in it_features and i not in pt_features and i not in fr_features):\n",
    "        e=e+1\n",
    "        fsp_features.append(i)\n",
    "print(e)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "70\n"
     ]
    }
   ],
   "source": [
    "f=0\n",
    "fit_features=[]\n",
    "for i in it_features:\n",
    "    if (i not in fr_features and i not in pt_features and i not in sp_features):\n",
    "        f=f+1\n",
    "        fit_features.append(i)\n",
    "print(f)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this phase we will make the representation of our text files in function of all trigrams we extracted earlier. Each cell(block of code) of the following will construct column by column the frequency of the current trigram from the final features vector in all files in the french folder."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "278.469407081604\n"
     ]
    }
   ],
   "source": [
    "df_dict={}\n",
    "start=time.time()\n",
    "for trigram in fsp_features:\n",
    "    temp=[]\n",
    "    for i in range (0,len(final)):\n",
    "        for j in range (0,len(final[i])):\n",
    "            if final[i][j][trigram]:\n",
    "                temp.append(final[i][j][trigram]/sum(list(final[i][j].values())))\n",
    "            else: \n",
    "                temp.append(0)\n",
    "    df_dict[trigram]=temp\n",
    "end=time.time()\n",
    "print(end-start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "149.2558102607727\n"
     ]
    }
   ],
   "source": [
    "start=time.time()\n",
    "for trigram in fit_features:\n",
    "    temp=[]\n",
    "    for i in range (0,len(final)):\n",
    "        for j in range (0,len(final[i])):\n",
    "            if final[i][j][trigram]:\n",
    "                temp.append(final[i][j][trigram]/sum(list(final[i][j].values())))\n",
    "            else: \n",
    "                temp.append(0)\n",
    "    df_dict[trigram]=temp\n",
    "end=time.time()\n",
    "print(end-start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "54.30870342254639\n"
     ]
    }
   ],
   "source": [
    "start=time.time()\n",
    "for trigram in fpt_features:\n",
    "    temp=[]\n",
    "    for i in range (0,len(final)):\n",
    "        for j in range (0,len(final[i])):\n",
    "            if final[i][j][trigram]:\n",
    "                temp.append(final[i][j][trigram]/sum(list(final[i][j].values())))\n",
    "            else: \n",
    "                temp.append(0)\n",
    "    df_dict[trigram]=temp\n",
    "end=time.time()\n",
    "print(end-start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "340.3534960746765\n"
     ]
    }
   ],
   "source": [
    "start=time.time()\n",
    "for trigram in ffr_features:\n",
    "    temp=[]\n",
    "    for i in range (0,len(final)):\n",
    "        for j in range (0,len(final[i])):\n",
    "            temp.append(final[i][j][trigram]/sum(list(final[i][j].values())))\n",
    "    df_dict[trigram]=temp\n",
    "end=time.time()\n",
    "print(end-start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "del(final)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "789\n"
     ]
    }
   ],
   "source": [
    "features=list(fr_features)+list(sp_features)+list(it_features)+list(pt_features)\n",
    "print(len(set(features)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "fr_dataFrame=pd.DataFrame.from_dict(df_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"10\" halign=\"left\"></th>\n",
       "      <th>...</th>\n",
       "      <th colspan=\"6\" halign=\"left\">v</th>\n",
       "      <th>y</th>\n",
       "      <th colspan=\"3\" halign=\"left\">z</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th colspan=\"7\" halign=\"left\">a</th>\n",
       "      <th>b</th>\n",
       "      <th>c</th>\n",
       "      <th>...</th>\n",
       "      <th>e</th>\n",
       "      <th>i</th>\n",
       "      <th colspan=\"4\" halign=\"left\">o</th>\n",
       "      <th>s</th>\n",
       "      <th>a</th>\n",
       "      <th>i</th>\n",
       "      <th>z</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>s</th>\n",
       "      <th>g</th>\n",
       "      <th>i</th>\n",
       "      <th>m</th>\n",
       "      <th>p</th>\n",
       "      <th>s</th>\n",
       "      <th>u</th>\n",
       "      <th>v</th>\n",
       "      <th>i</th>\n",
       "      <th>e</th>\n",
       "      <th>...</th>\n",
       "      <th>s</th>\n",
       "      <th>c</th>\n",
       "      <th>i</th>\n",
       "      <th>n</th>\n",
       "      <th>r</th>\n",
       "      <th>u</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>o</th>\n",
       "      <th>a</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.000555</td>\n",
       "      <td>0.000174</td>\n",
       "      <td>0.000445</td>\n",
       "      <td>0.000361</td>\n",
       "      <td>0.000555</td>\n",
       "      <td>0.000258</td>\n",
       "      <td>0.002536</td>\n",
       "      <td>0.001065</td>\n",
       "      <td>0.000394</td>\n",
       "      <td>0.004161</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000200</td>\n",
       "      <td>0.000110</td>\n",
       "      <td>0.000548</td>\n",
       "      <td>0.000413</td>\n",
       "      <td>0.000065</td>\n",
       "      <td>0.001245</td>\n",
       "      <td>0.000329</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.000466</td>\n",
       "      <td>0.000119</td>\n",
       "      <td>0.000694</td>\n",
       "      <td>0.000203</td>\n",
       "      <td>0.000576</td>\n",
       "      <td>0.000278</td>\n",
       "      <td>0.002923</td>\n",
       "      <td>0.001081</td>\n",
       "      <td>0.000374</td>\n",
       "      <td>0.004044</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000283</td>\n",
       "      <td>0.000166</td>\n",
       "      <td>0.000586</td>\n",
       "      <td>0.000583</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.000699</td>\n",
       "      <td>0.000188</td>\n",
       "      <td>0.000008</td>\n",
       "      <td>0.000008</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.000459</td>\n",
       "      <td>0.000155</td>\n",
       "      <td>0.000367</td>\n",
       "      <td>0.000227</td>\n",
       "      <td>0.000405</td>\n",
       "      <td>0.000279</td>\n",
       "      <td>0.002875</td>\n",
       "      <td>0.001370</td>\n",
       "      <td>0.000425</td>\n",
       "      <td>0.004164</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000191</td>\n",
       "      <td>0.000074</td>\n",
       "      <td>0.000639</td>\n",
       "      <td>0.000585</td>\n",
       "      <td>0.000054</td>\n",
       "      <td>0.000961</td>\n",
       "      <td>0.000317</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>0.000007</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.000509</td>\n",
       "      <td>0.000236</td>\n",
       "      <td>0.000584</td>\n",
       "      <td>0.000322</td>\n",
       "      <td>0.000618</td>\n",
       "      <td>0.000285</td>\n",
       "      <td>0.003268</td>\n",
       "      <td>0.001219</td>\n",
       "      <td>0.000308</td>\n",
       "      <td>0.003346</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000285</td>\n",
       "      <td>0.000092</td>\n",
       "      <td>0.000667</td>\n",
       "      <td>0.000451</td>\n",
       "      <td>0.000034</td>\n",
       "      <td>0.000497</td>\n",
       "      <td>0.000425</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.000583</td>\n",
       "      <td>0.000051</td>\n",
       "      <td>0.000406</td>\n",
       "      <td>0.000203</td>\n",
       "      <td>0.000291</td>\n",
       "      <td>0.000330</td>\n",
       "      <td>0.002801</td>\n",
       "      <td>0.001077</td>\n",
       "      <td>0.000330</td>\n",
       "      <td>0.003941</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.000139</td>\n",
       "      <td>0.000596</td>\n",
       "      <td>0.000406</td>\n",
       "      <td>0.000076</td>\n",
       "      <td>0.000520</td>\n",
       "      <td>0.000266</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.000404</td>\n",
       "      <td>0.000083</td>\n",
       "      <td>0.000312</td>\n",
       "      <td>0.000309</td>\n",
       "      <td>0.000574</td>\n",
       "      <td>0.000219</td>\n",
       "      <td>0.003119</td>\n",
       "      <td>0.001346</td>\n",
       "      <td>0.000411</td>\n",
       "      <td>0.004588</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000225</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.000790</td>\n",
       "      <td>0.000710</td>\n",
       "      <td>0.000046</td>\n",
       "      <td>0.000892</td>\n",
       "      <td>0.000306</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.000546</td>\n",
       "      <td>0.000077</td>\n",
       "      <td>0.000340</td>\n",
       "      <td>0.000604</td>\n",
       "      <td>0.000430</td>\n",
       "      <td>0.000250</td>\n",
       "      <td>0.003294</td>\n",
       "      <td>0.000950</td>\n",
       "      <td>0.000257</td>\n",
       "      <td>0.004161</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000289</td>\n",
       "      <td>0.000116</td>\n",
       "      <td>0.001188</td>\n",
       "      <td>0.000668</td>\n",
       "      <td>0.000083</td>\n",
       "      <td>0.000443</td>\n",
       "      <td>0.000289</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.000459</td>\n",
       "      <td>0.000290</td>\n",
       "      <td>0.000492</td>\n",
       "      <td>0.000230</td>\n",
       "      <td>0.000547</td>\n",
       "      <td>0.000334</td>\n",
       "      <td>0.002751</td>\n",
       "      <td>0.001132</td>\n",
       "      <td>0.000399</td>\n",
       "      <td>0.003725</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000514</td>\n",
       "      <td>0.000088</td>\n",
       "      <td>0.000717</td>\n",
       "      <td>0.000388</td>\n",
       "      <td>0.000131</td>\n",
       "      <td>0.000706</td>\n",
       "      <td>0.000208</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.000496</td>\n",
       "      <td>0.000229</td>\n",
       "      <td>0.000386</td>\n",
       "      <td>0.000371</td>\n",
       "      <td>0.000502</td>\n",
       "      <td>0.000292</td>\n",
       "      <td>0.002774</td>\n",
       "      <td>0.001232</td>\n",
       "      <td>0.000363</td>\n",
       "      <td>0.004026</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000257</td>\n",
       "      <td>0.000082</td>\n",
       "      <td>0.000564</td>\n",
       "      <td>0.000714</td>\n",
       "      <td>0.000060</td>\n",
       "      <td>0.001088</td>\n",
       "      <td>0.000296</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.000420</td>\n",
       "      <td>0.000220</td>\n",
       "      <td>0.000474</td>\n",
       "      <td>0.000217</td>\n",
       "      <td>0.000505</td>\n",
       "      <td>0.000330</td>\n",
       "      <td>0.003088</td>\n",
       "      <td>0.001294</td>\n",
       "      <td>0.000449</td>\n",
       "      <td>0.004168</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.000120</td>\n",
       "      <td>0.000701</td>\n",
       "      <td>0.000510</td>\n",
       "      <td>0.000049</td>\n",
       "      <td>0.000621</td>\n",
       "      <td>0.000694</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.000555</td>\n",
       "      <td>0.000174</td>\n",
       "      <td>0.000445</td>\n",
       "      <td>0.000361</td>\n",
       "      <td>0.000555</td>\n",
       "      <td>0.000258</td>\n",
       "      <td>0.002536</td>\n",
       "      <td>0.001065</td>\n",
       "      <td>0.000394</td>\n",
       "      <td>0.004161</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000200</td>\n",
       "      <td>0.000110</td>\n",
       "      <td>0.000548</td>\n",
       "      <td>0.000413</td>\n",
       "      <td>0.000065</td>\n",
       "      <td>0.001245</td>\n",
       "      <td>0.000329</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.000466</td>\n",
       "      <td>0.000119</td>\n",
       "      <td>0.000694</td>\n",
       "      <td>0.000203</td>\n",
       "      <td>0.000576</td>\n",
       "      <td>0.000278</td>\n",
       "      <td>0.002923</td>\n",
       "      <td>0.001081</td>\n",
       "      <td>0.000374</td>\n",
       "      <td>0.004044</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000283</td>\n",
       "      <td>0.000166</td>\n",
       "      <td>0.000586</td>\n",
       "      <td>0.000583</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.000699</td>\n",
       "      <td>0.000188</td>\n",
       "      <td>0.000008</td>\n",
       "      <td>0.000008</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.000459</td>\n",
       "      <td>0.000155</td>\n",
       "      <td>0.000367</td>\n",
       "      <td>0.000227</td>\n",
       "      <td>0.000405</td>\n",
       "      <td>0.000279</td>\n",
       "      <td>0.002875</td>\n",
       "      <td>0.001370</td>\n",
       "      <td>0.000425</td>\n",
       "      <td>0.004164</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000191</td>\n",
       "      <td>0.000074</td>\n",
       "      <td>0.000639</td>\n",
       "      <td>0.000585</td>\n",
       "      <td>0.000054</td>\n",
       "      <td>0.000961</td>\n",
       "      <td>0.000317</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>0.000007</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.000509</td>\n",
       "      <td>0.000236</td>\n",
       "      <td>0.000584</td>\n",
       "      <td>0.000322</td>\n",
       "      <td>0.000618</td>\n",
       "      <td>0.000285</td>\n",
       "      <td>0.003268</td>\n",
       "      <td>0.001219</td>\n",
       "      <td>0.000308</td>\n",
       "      <td>0.003346</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000285</td>\n",
       "      <td>0.000092</td>\n",
       "      <td>0.000667</td>\n",
       "      <td>0.000451</td>\n",
       "      <td>0.000034</td>\n",
       "      <td>0.000497</td>\n",
       "      <td>0.000425</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0.000583</td>\n",
       "      <td>0.000051</td>\n",
       "      <td>0.000406</td>\n",
       "      <td>0.000203</td>\n",
       "      <td>0.000291</td>\n",
       "      <td>0.000330</td>\n",
       "      <td>0.002801</td>\n",
       "      <td>0.001077</td>\n",
       "      <td>0.000330</td>\n",
       "      <td>0.003941</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.000139</td>\n",
       "      <td>0.000596</td>\n",
       "      <td>0.000406</td>\n",
       "      <td>0.000076</td>\n",
       "      <td>0.000520</td>\n",
       "      <td>0.000266</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.000404</td>\n",
       "      <td>0.000083</td>\n",
       "      <td>0.000312</td>\n",
       "      <td>0.000309</td>\n",
       "      <td>0.000574</td>\n",
       "      <td>0.000219</td>\n",
       "      <td>0.003119</td>\n",
       "      <td>0.001346</td>\n",
       "      <td>0.000411</td>\n",
       "      <td>0.004588</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000225</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.000790</td>\n",
       "      <td>0.000710</td>\n",
       "      <td>0.000046</td>\n",
       "      <td>0.000892</td>\n",
       "      <td>0.000306</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.000546</td>\n",
       "      <td>0.000077</td>\n",
       "      <td>0.000340</td>\n",
       "      <td>0.000604</td>\n",
       "      <td>0.000430</td>\n",
       "      <td>0.000250</td>\n",
       "      <td>0.003294</td>\n",
       "      <td>0.000950</td>\n",
       "      <td>0.000257</td>\n",
       "      <td>0.004161</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000289</td>\n",
       "      <td>0.000116</td>\n",
       "      <td>0.001188</td>\n",
       "      <td>0.000668</td>\n",
       "      <td>0.000083</td>\n",
       "      <td>0.000443</td>\n",
       "      <td>0.000289</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.000459</td>\n",
       "      <td>0.000290</td>\n",
       "      <td>0.000492</td>\n",
       "      <td>0.000230</td>\n",
       "      <td>0.000547</td>\n",
       "      <td>0.000334</td>\n",
       "      <td>0.002751</td>\n",
       "      <td>0.001132</td>\n",
       "      <td>0.000399</td>\n",
       "      <td>0.003725</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000514</td>\n",
       "      <td>0.000088</td>\n",
       "      <td>0.000717</td>\n",
       "      <td>0.000388</td>\n",
       "      <td>0.000131</td>\n",
       "      <td>0.000706</td>\n",
       "      <td>0.000208</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.000496</td>\n",
       "      <td>0.000229</td>\n",
       "      <td>0.000386</td>\n",
       "      <td>0.000371</td>\n",
       "      <td>0.000502</td>\n",
       "      <td>0.000292</td>\n",
       "      <td>0.002774</td>\n",
       "      <td>0.001232</td>\n",
       "      <td>0.000363</td>\n",
       "      <td>0.004026</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000257</td>\n",
       "      <td>0.000082</td>\n",
       "      <td>0.000564</td>\n",
       "      <td>0.000714</td>\n",
       "      <td>0.000060</td>\n",
       "      <td>0.001088</td>\n",
       "      <td>0.000296</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.000420</td>\n",
       "      <td>0.000220</td>\n",
       "      <td>0.000474</td>\n",
       "      <td>0.000217</td>\n",
       "      <td>0.000505</td>\n",
       "      <td>0.000330</td>\n",
       "      <td>0.003088</td>\n",
       "      <td>0.001294</td>\n",
       "      <td>0.000449</td>\n",
       "      <td>0.004168</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.000120</td>\n",
       "      <td>0.000701</td>\n",
       "      <td>0.000510</td>\n",
       "      <td>0.000049</td>\n",
       "      <td>0.000621</td>\n",
       "      <td>0.000694</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.000555</td>\n",
       "      <td>0.000174</td>\n",
       "      <td>0.000445</td>\n",
       "      <td>0.000361</td>\n",
       "      <td>0.000555</td>\n",
       "      <td>0.000258</td>\n",
       "      <td>0.002536</td>\n",
       "      <td>0.001065</td>\n",
       "      <td>0.000394</td>\n",
       "      <td>0.004161</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000200</td>\n",
       "      <td>0.000110</td>\n",
       "      <td>0.000548</td>\n",
       "      <td>0.000413</td>\n",
       "      <td>0.000065</td>\n",
       "      <td>0.001245</td>\n",
       "      <td>0.000329</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0.000466</td>\n",
       "      <td>0.000119</td>\n",
       "      <td>0.000694</td>\n",
       "      <td>0.000203</td>\n",
       "      <td>0.000576</td>\n",
       "      <td>0.000278</td>\n",
       "      <td>0.002923</td>\n",
       "      <td>0.001081</td>\n",
       "      <td>0.000374</td>\n",
       "      <td>0.004044</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000283</td>\n",
       "      <td>0.000166</td>\n",
       "      <td>0.000586</td>\n",
       "      <td>0.000583</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.000699</td>\n",
       "      <td>0.000188</td>\n",
       "      <td>0.000008</td>\n",
       "      <td>0.000008</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0.000459</td>\n",
       "      <td>0.000155</td>\n",
       "      <td>0.000367</td>\n",
       "      <td>0.000227</td>\n",
       "      <td>0.000405</td>\n",
       "      <td>0.000279</td>\n",
       "      <td>0.002875</td>\n",
       "      <td>0.001370</td>\n",
       "      <td>0.000425</td>\n",
       "      <td>0.004164</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000191</td>\n",
       "      <td>0.000074</td>\n",
       "      <td>0.000639</td>\n",
       "      <td>0.000585</td>\n",
       "      <td>0.000054</td>\n",
       "      <td>0.000961</td>\n",
       "      <td>0.000317</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>0.000007</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.000509</td>\n",
       "      <td>0.000236</td>\n",
       "      <td>0.000584</td>\n",
       "      <td>0.000322</td>\n",
       "      <td>0.000618</td>\n",
       "      <td>0.000285</td>\n",
       "      <td>0.003268</td>\n",
       "      <td>0.001219</td>\n",
       "      <td>0.000308</td>\n",
       "      <td>0.003346</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000285</td>\n",
       "      <td>0.000092</td>\n",
       "      <td>0.000667</td>\n",
       "      <td>0.000451</td>\n",
       "      <td>0.000034</td>\n",
       "      <td>0.000497</td>\n",
       "      <td>0.000425</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.000583</td>\n",
       "      <td>0.000051</td>\n",
       "      <td>0.000406</td>\n",
       "      <td>0.000203</td>\n",
       "      <td>0.000291</td>\n",
       "      <td>0.000330</td>\n",
       "      <td>0.002801</td>\n",
       "      <td>0.001077</td>\n",
       "      <td>0.000330</td>\n",
       "      <td>0.003941</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.000139</td>\n",
       "      <td>0.000596</td>\n",
       "      <td>0.000406</td>\n",
       "      <td>0.000076</td>\n",
       "      <td>0.000520</td>\n",
       "      <td>0.000266</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.000404</td>\n",
       "      <td>0.000083</td>\n",
       "      <td>0.000312</td>\n",
       "      <td>0.000309</td>\n",
       "      <td>0.000574</td>\n",
       "      <td>0.000219</td>\n",
       "      <td>0.003119</td>\n",
       "      <td>0.001346</td>\n",
       "      <td>0.000411</td>\n",
       "      <td>0.004588</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000225</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.000790</td>\n",
       "      <td>0.000710</td>\n",
       "      <td>0.000046</td>\n",
       "      <td>0.000892</td>\n",
       "      <td>0.000306</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0.000546</td>\n",
       "      <td>0.000077</td>\n",
       "      <td>0.000340</td>\n",
       "      <td>0.000604</td>\n",
       "      <td>0.000430</td>\n",
       "      <td>0.000250</td>\n",
       "      <td>0.003294</td>\n",
       "      <td>0.000950</td>\n",
       "      <td>0.000257</td>\n",
       "      <td>0.004161</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000289</td>\n",
       "      <td>0.000116</td>\n",
       "      <td>0.001188</td>\n",
       "      <td>0.000668</td>\n",
       "      <td>0.000083</td>\n",
       "      <td>0.000443</td>\n",
       "      <td>0.000289</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.000459</td>\n",
       "      <td>0.000290</td>\n",
       "      <td>0.000492</td>\n",
       "      <td>0.000230</td>\n",
       "      <td>0.000547</td>\n",
       "      <td>0.000334</td>\n",
       "      <td>0.002751</td>\n",
       "      <td>0.001132</td>\n",
       "      <td>0.000399</td>\n",
       "      <td>0.003725</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000514</td>\n",
       "      <td>0.000088</td>\n",
       "      <td>0.000717</td>\n",
       "      <td>0.000388</td>\n",
       "      <td>0.000131</td>\n",
       "      <td>0.000706</td>\n",
       "      <td>0.000208</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.000496</td>\n",
       "      <td>0.000229</td>\n",
       "      <td>0.000386</td>\n",
       "      <td>0.000371</td>\n",
       "      <td>0.000502</td>\n",
       "      <td>0.000292</td>\n",
       "      <td>0.002774</td>\n",
       "      <td>0.001232</td>\n",
       "      <td>0.000363</td>\n",
       "      <td>0.004026</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000257</td>\n",
       "      <td>0.000082</td>\n",
       "      <td>0.000564</td>\n",
       "      <td>0.000714</td>\n",
       "      <td>0.000060</td>\n",
       "      <td>0.001088</td>\n",
       "      <td>0.000296</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0.000420</td>\n",
       "      <td>0.000220</td>\n",
       "      <td>0.000474</td>\n",
       "      <td>0.000217</td>\n",
       "      <td>0.000505</td>\n",
       "      <td>0.000330</td>\n",
       "      <td>0.003088</td>\n",
       "      <td>0.001294</td>\n",
       "      <td>0.000449</td>\n",
       "      <td>0.004168</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.000120</td>\n",
       "      <td>0.000701</td>\n",
       "      <td>0.000510</td>\n",
       "      <td>0.000049</td>\n",
       "      <td>0.000621</td>\n",
       "      <td>0.000694</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9420</th>\n",
       "      <td>0.000555</td>\n",
       "      <td>0.000174</td>\n",
       "      <td>0.000445</td>\n",
       "      <td>0.000361</td>\n",
       "      <td>0.000555</td>\n",
       "      <td>0.000258</td>\n",
       "      <td>0.002536</td>\n",
       "      <td>0.001065</td>\n",
       "      <td>0.000394</td>\n",
       "      <td>0.004161</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000200</td>\n",
       "      <td>0.000110</td>\n",
       "      <td>0.000548</td>\n",
       "      <td>0.000413</td>\n",
       "      <td>0.000065</td>\n",
       "      <td>0.001245</td>\n",
       "      <td>0.000329</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9421</th>\n",
       "      <td>0.000466</td>\n",
       "      <td>0.000119</td>\n",
       "      <td>0.000694</td>\n",
       "      <td>0.000203</td>\n",
       "      <td>0.000576</td>\n",
       "      <td>0.000278</td>\n",
       "      <td>0.002923</td>\n",
       "      <td>0.001081</td>\n",
       "      <td>0.000374</td>\n",
       "      <td>0.004044</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000283</td>\n",
       "      <td>0.000166</td>\n",
       "      <td>0.000586</td>\n",
       "      <td>0.000583</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.000699</td>\n",
       "      <td>0.000188</td>\n",
       "      <td>0.000008</td>\n",
       "      <td>0.000008</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9422</th>\n",
       "      <td>0.000459</td>\n",
       "      <td>0.000155</td>\n",
       "      <td>0.000367</td>\n",
       "      <td>0.000227</td>\n",
       "      <td>0.000405</td>\n",
       "      <td>0.000279</td>\n",
       "      <td>0.002875</td>\n",
       "      <td>0.001370</td>\n",
       "      <td>0.000425</td>\n",
       "      <td>0.004164</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000191</td>\n",
       "      <td>0.000074</td>\n",
       "      <td>0.000639</td>\n",
       "      <td>0.000585</td>\n",
       "      <td>0.000054</td>\n",
       "      <td>0.000961</td>\n",
       "      <td>0.000317</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>0.000007</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9423</th>\n",
       "      <td>0.000509</td>\n",
       "      <td>0.000236</td>\n",
       "      <td>0.000584</td>\n",
       "      <td>0.000322</td>\n",
       "      <td>0.000618</td>\n",
       "      <td>0.000285</td>\n",
       "      <td>0.003268</td>\n",
       "      <td>0.001219</td>\n",
       "      <td>0.000308</td>\n",
       "      <td>0.003346</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000285</td>\n",
       "      <td>0.000092</td>\n",
       "      <td>0.000667</td>\n",
       "      <td>0.000451</td>\n",
       "      <td>0.000034</td>\n",
       "      <td>0.000497</td>\n",
       "      <td>0.000425</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9424</th>\n",
       "      <td>0.000583</td>\n",
       "      <td>0.000051</td>\n",
       "      <td>0.000406</td>\n",
       "      <td>0.000203</td>\n",
       "      <td>0.000291</td>\n",
       "      <td>0.000330</td>\n",
       "      <td>0.002801</td>\n",
       "      <td>0.001077</td>\n",
       "      <td>0.000330</td>\n",
       "      <td>0.003941</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.000139</td>\n",
       "      <td>0.000596</td>\n",
       "      <td>0.000406</td>\n",
       "      <td>0.000076</td>\n",
       "      <td>0.000520</td>\n",
       "      <td>0.000266</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9425</th>\n",
       "      <td>0.000404</td>\n",
       "      <td>0.000083</td>\n",
       "      <td>0.000312</td>\n",
       "      <td>0.000309</td>\n",
       "      <td>0.000574</td>\n",
       "      <td>0.000219</td>\n",
       "      <td>0.003119</td>\n",
       "      <td>0.001346</td>\n",
       "      <td>0.000411</td>\n",
       "      <td>0.004588</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000225</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.000790</td>\n",
       "      <td>0.000710</td>\n",
       "      <td>0.000046</td>\n",
       "      <td>0.000892</td>\n",
       "      <td>0.000306</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9426</th>\n",
       "      <td>0.000546</td>\n",
       "      <td>0.000077</td>\n",
       "      <td>0.000340</td>\n",
       "      <td>0.000604</td>\n",
       "      <td>0.000430</td>\n",
       "      <td>0.000250</td>\n",
       "      <td>0.003294</td>\n",
       "      <td>0.000950</td>\n",
       "      <td>0.000257</td>\n",
       "      <td>0.004161</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000289</td>\n",
       "      <td>0.000116</td>\n",
       "      <td>0.001188</td>\n",
       "      <td>0.000668</td>\n",
       "      <td>0.000083</td>\n",
       "      <td>0.000443</td>\n",
       "      <td>0.000289</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9427</th>\n",
       "      <td>0.000459</td>\n",
       "      <td>0.000290</td>\n",
       "      <td>0.000492</td>\n",
       "      <td>0.000230</td>\n",
       "      <td>0.000547</td>\n",
       "      <td>0.000334</td>\n",
       "      <td>0.002751</td>\n",
       "      <td>0.001132</td>\n",
       "      <td>0.000399</td>\n",
       "      <td>0.003725</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000514</td>\n",
       "      <td>0.000088</td>\n",
       "      <td>0.000717</td>\n",
       "      <td>0.000388</td>\n",
       "      <td>0.000131</td>\n",
       "      <td>0.000706</td>\n",
       "      <td>0.000208</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9428</th>\n",
       "      <td>0.000496</td>\n",
       "      <td>0.000229</td>\n",
       "      <td>0.000386</td>\n",
       "      <td>0.000371</td>\n",
       "      <td>0.000502</td>\n",
       "      <td>0.000292</td>\n",
       "      <td>0.002774</td>\n",
       "      <td>0.001232</td>\n",
       "      <td>0.000363</td>\n",
       "      <td>0.004026</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000257</td>\n",
       "      <td>0.000082</td>\n",
       "      <td>0.000564</td>\n",
       "      <td>0.000714</td>\n",
       "      <td>0.000060</td>\n",
       "      <td>0.001088</td>\n",
       "      <td>0.000296</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9429</th>\n",
       "      <td>0.000420</td>\n",
       "      <td>0.000220</td>\n",
       "      <td>0.000474</td>\n",
       "      <td>0.000217</td>\n",
       "      <td>0.000505</td>\n",
       "      <td>0.000330</td>\n",
       "      <td>0.003088</td>\n",
       "      <td>0.001294</td>\n",
       "      <td>0.000449</td>\n",
       "      <td>0.004168</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.000120</td>\n",
       "      <td>0.000701</td>\n",
       "      <td>0.000510</td>\n",
       "      <td>0.000049</td>\n",
       "      <td>0.000621</td>\n",
       "      <td>0.000694</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9430</th>\n",
       "      <td>0.000555</td>\n",
       "      <td>0.000174</td>\n",
       "      <td>0.000445</td>\n",
       "      <td>0.000361</td>\n",
       "      <td>0.000555</td>\n",
       "      <td>0.000258</td>\n",
       "      <td>0.002536</td>\n",
       "      <td>0.001065</td>\n",
       "      <td>0.000394</td>\n",
       "      <td>0.004161</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000200</td>\n",
       "      <td>0.000110</td>\n",
       "      <td>0.000548</td>\n",
       "      <td>0.000413</td>\n",
       "      <td>0.000065</td>\n",
       "      <td>0.001245</td>\n",
       "      <td>0.000329</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9431</th>\n",
       "      <td>0.000466</td>\n",
       "      <td>0.000119</td>\n",
       "      <td>0.000694</td>\n",
       "      <td>0.000203</td>\n",
       "      <td>0.000576</td>\n",
       "      <td>0.000278</td>\n",
       "      <td>0.002923</td>\n",
       "      <td>0.001081</td>\n",
       "      <td>0.000374</td>\n",
       "      <td>0.004044</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000283</td>\n",
       "      <td>0.000166</td>\n",
       "      <td>0.000586</td>\n",
       "      <td>0.000583</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.000699</td>\n",
       "      <td>0.000188</td>\n",
       "      <td>0.000008</td>\n",
       "      <td>0.000008</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9432</th>\n",
       "      <td>0.000459</td>\n",
       "      <td>0.000155</td>\n",
       "      <td>0.000367</td>\n",
       "      <td>0.000227</td>\n",
       "      <td>0.000405</td>\n",
       "      <td>0.000279</td>\n",
       "      <td>0.002875</td>\n",
       "      <td>0.001370</td>\n",
       "      <td>0.000425</td>\n",
       "      <td>0.004164</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000191</td>\n",
       "      <td>0.000074</td>\n",
       "      <td>0.000639</td>\n",
       "      <td>0.000585</td>\n",
       "      <td>0.000054</td>\n",
       "      <td>0.000961</td>\n",
       "      <td>0.000317</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>0.000007</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9433</th>\n",
       "      <td>0.000509</td>\n",
       "      <td>0.000236</td>\n",
       "      <td>0.000584</td>\n",
       "      <td>0.000322</td>\n",
       "      <td>0.000618</td>\n",
       "      <td>0.000285</td>\n",
       "      <td>0.003268</td>\n",
       "      <td>0.001219</td>\n",
       "      <td>0.000308</td>\n",
       "      <td>0.003346</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000285</td>\n",
       "      <td>0.000092</td>\n",
       "      <td>0.000667</td>\n",
       "      <td>0.000451</td>\n",
       "      <td>0.000034</td>\n",
       "      <td>0.000497</td>\n",
       "      <td>0.000425</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9434</th>\n",
       "      <td>0.000583</td>\n",
       "      <td>0.000051</td>\n",
       "      <td>0.000406</td>\n",
       "      <td>0.000203</td>\n",
       "      <td>0.000291</td>\n",
       "      <td>0.000330</td>\n",
       "      <td>0.002801</td>\n",
       "      <td>0.001077</td>\n",
       "      <td>0.000330</td>\n",
       "      <td>0.003941</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.000139</td>\n",
       "      <td>0.000596</td>\n",
       "      <td>0.000406</td>\n",
       "      <td>0.000076</td>\n",
       "      <td>0.000520</td>\n",
       "      <td>0.000266</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9435</th>\n",
       "      <td>0.000404</td>\n",
       "      <td>0.000083</td>\n",
       "      <td>0.000312</td>\n",
       "      <td>0.000309</td>\n",
       "      <td>0.000574</td>\n",
       "      <td>0.000219</td>\n",
       "      <td>0.003119</td>\n",
       "      <td>0.001346</td>\n",
       "      <td>0.000411</td>\n",
       "      <td>0.004588</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000225</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.000790</td>\n",
       "      <td>0.000710</td>\n",
       "      <td>0.000046</td>\n",
       "      <td>0.000892</td>\n",
       "      <td>0.000306</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9436</th>\n",
       "      <td>0.000546</td>\n",
       "      <td>0.000077</td>\n",
       "      <td>0.000340</td>\n",
       "      <td>0.000604</td>\n",
       "      <td>0.000430</td>\n",
       "      <td>0.000250</td>\n",
       "      <td>0.003294</td>\n",
       "      <td>0.000950</td>\n",
       "      <td>0.000257</td>\n",
       "      <td>0.004161</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000289</td>\n",
       "      <td>0.000116</td>\n",
       "      <td>0.001188</td>\n",
       "      <td>0.000668</td>\n",
       "      <td>0.000083</td>\n",
       "      <td>0.000443</td>\n",
       "      <td>0.000289</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9437</th>\n",
       "      <td>0.000459</td>\n",
       "      <td>0.000290</td>\n",
       "      <td>0.000492</td>\n",
       "      <td>0.000230</td>\n",
       "      <td>0.000547</td>\n",
       "      <td>0.000334</td>\n",
       "      <td>0.002751</td>\n",
       "      <td>0.001132</td>\n",
       "      <td>0.000399</td>\n",
       "      <td>0.003725</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000514</td>\n",
       "      <td>0.000088</td>\n",
       "      <td>0.000717</td>\n",
       "      <td>0.000388</td>\n",
       "      <td>0.000131</td>\n",
       "      <td>0.000706</td>\n",
       "      <td>0.000208</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9438</th>\n",
       "      <td>0.000496</td>\n",
       "      <td>0.000229</td>\n",
       "      <td>0.000386</td>\n",
       "      <td>0.000371</td>\n",
       "      <td>0.000502</td>\n",
       "      <td>0.000292</td>\n",
       "      <td>0.002774</td>\n",
       "      <td>0.001232</td>\n",
       "      <td>0.000363</td>\n",
       "      <td>0.004026</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000257</td>\n",
       "      <td>0.000082</td>\n",
       "      <td>0.000564</td>\n",
       "      <td>0.000714</td>\n",
       "      <td>0.000060</td>\n",
       "      <td>0.001088</td>\n",
       "      <td>0.000296</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9439</th>\n",
       "      <td>0.000420</td>\n",
       "      <td>0.000220</td>\n",
       "      <td>0.000474</td>\n",
       "      <td>0.000217</td>\n",
       "      <td>0.000505</td>\n",
       "      <td>0.000330</td>\n",
       "      <td>0.003088</td>\n",
       "      <td>0.001294</td>\n",
       "      <td>0.000449</td>\n",
       "      <td>0.004168</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.000120</td>\n",
       "      <td>0.000701</td>\n",
       "      <td>0.000510</td>\n",
       "      <td>0.000049</td>\n",
       "      <td>0.000621</td>\n",
       "      <td>0.000694</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9440</th>\n",
       "      <td>0.000555</td>\n",
       "      <td>0.000174</td>\n",
       "      <td>0.000445</td>\n",
       "      <td>0.000361</td>\n",
       "      <td>0.000555</td>\n",
       "      <td>0.000258</td>\n",
       "      <td>0.002536</td>\n",
       "      <td>0.001065</td>\n",
       "      <td>0.000394</td>\n",
       "      <td>0.004161</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000200</td>\n",
       "      <td>0.000110</td>\n",
       "      <td>0.000548</td>\n",
       "      <td>0.000413</td>\n",
       "      <td>0.000065</td>\n",
       "      <td>0.001245</td>\n",
       "      <td>0.000329</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9441</th>\n",
       "      <td>0.000466</td>\n",
       "      <td>0.000119</td>\n",
       "      <td>0.000694</td>\n",
       "      <td>0.000203</td>\n",
       "      <td>0.000576</td>\n",
       "      <td>0.000278</td>\n",
       "      <td>0.002923</td>\n",
       "      <td>0.001081</td>\n",
       "      <td>0.000374</td>\n",
       "      <td>0.004044</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000283</td>\n",
       "      <td>0.000166</td>\n",
       "      <td>0.000586</td>\n",
       "      <td>0.000583</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.000699</td>\n",
       "      <td>0.000188</td>\n",
       "      <td>0.000008</td>\n",
       "      <td>0.000008</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9442</th>\n",
       "      <td>0.000459</td>\n",
       "      <td>0.000155</td>\n",
       "      <td>0.000367</td>\n",
       "      <td>0.000227</td>\n",
       "      <td>0.000405</td>\n",
       "      <td>0.000279</td>\n",
       "      <td>0.002875</td>\n",
       "      <td>0.001370</td>\n",
       "      <td>0.000425</td>\n",
       "      <td>0.004164</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000191</td>\n",
       "      <td>0.000074</td>\n",
       "      <td>0.000639</td>\n",
       "      <td>0.000585</td>\n",
       "      <td>0.000054</td>\n",
       "      <td>0.000961</td>\n",
       "      <td>0.000317</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>0.000007</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9443</th>\n",
       "      <td>0.000509</td>\n",
       "      <td>0.000236</td>\n",
       "      <td>0.000584</td>\n",
       "      <td>0.000322</td>\n",
       "      <td>0.000618</td>\n",
       "      <td>0.000285</td>\n",
       "      <td>0.003268</td>\n",
       "      <td>0.001219</td>\n",
       "      <td>0.000308</td>\n",
       "      <td>0.003346</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000285</td>\n",
       "      <td>0.000092</td>\n",
       "      <td>0.000667</td>\n",
       "      <td>0.000451</td>\n",
       "      <td>0.000034</td>\n",
       "      <td>0.000497</td>\n",
       "      <td>0.000425</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9444</th>\n",
       "      <td>0.000583</td>\n",
       "      <td>0.000051</td>\n",
       "      <td>0.000406</td>\n",
       "      <td>0.000203</td>\n",
       "      <td>0.000291</td>\n",
       "      <td>0.000330</td>\n",
       "      <td>0.002801</td>\n",
       "      <td>0.001077</td>\n",
       "      <td>0.000330</td>\n",
       "      <td>0.003941</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.000139</td>\n",
       "      <td>0.000596</td>\n",
       "      <td>0.000406</td>\n",
       "      <td>0.000076</td>\n",
       "      <td>0.000520</td>\n",
       "      <td>0.000266</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9445</th>\n",
       "      <td>0.000404</td>\n",
       "      <td>0.000083</td>\n",
       "      <td>0.000312</td>\n",
       "      <td>0.000309</td>\n",
       "      <td>0.000574</td>\n",
       "      <td>0.000219</td>\n",
       "      <td>0.003119</td>\n",
       "      <td>0.001346</td>\n",
       "      <td>0.000411</td>\n",
       "      <td>0.004588</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000225</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.000790</td>\n",
       "      <td>0.000710</td>\n",
       "      <td>0.000046</td>\n",
       "      <td>0.000892</td>\n",
       "      <td>0.000306</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9446</th>\n",
       "      <td>0.000546</td>\n",
       "      <td>0.000077</td>\n",
       "      <td>0.000340</td>\n",
       "      <td>0.000604</td>\n",
       "      <td>0.000430</td>\n",
       "      <td>0.000250</td>\n",
       "      <td>0.003294</td>\n",
       "      <td>0.000950</td>\n",
       "      <td>0.000257</td>\n",
       "      <td>0.004161</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000289</td>\n",
       "      <td>0.000116</td>\n",
       "      <td>0.001188</td>\n",
       "      <td>0.000668</td>\n",
       "      <td>0.000083</td>\n",
       "      <td>0.000443</td>\n",
       "      <td>0.000289</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9447</th>\n",
       "      <td>0.000459</td>\n",
       "      <td>0.000290</td>\n",
       "      <td>0.000492</td>\n",
       "      <td>0.000230</td>\n",
       "      <td>0.000547</td>\n",
       "      <td>0.000334</td>\n",
       "      <td>0.002751</td>\n",
       "      <td>0.001132</td>\n",
       "      <td>0.000399</td>\n",
       "      <td>0.003725</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000514</td>\n",
       "      <td>0.000088</td>\n",
       "      <td>0.000717</td>\n",
       "      <td>0.000388</td>\n",
       "      <td>0.000131</td>\n",
       "      <td>0.000706</td>\n",
       "      <td>0.000208</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9448</th>\n",
       "      <td>0.000496</td>\n",
       "      <td>0.000229</td>\n",
       "      <td>0.000386</td>\n",
       "      <td>0.000371</td>\n",
       "      <td>0.000502</td>\n",
       "      <td>0.000292</td>\n",
       "      <td>0.002774</td>\n",
       "      <td>0.001232</td>\n",
       "      <td>0.000363</td>\n",
       "      <td>0.004026</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000257</td>\n",
       "      <td>0.000082</td>\n",
       "      <td>0.000564</td>\n",
       "      <td>0.000714</td>\n",
       "      <td>0.000060</td>\n",
       "      <td>0.001088</td>\n",
       "      <td>0.000296</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9449</th>\n",
       "      <td>0.000420</td>\n",
       "      <td>0.000220</td>\n",
       "      <td>0.000474</td>\n",
       "      <td>0.000217</td>\n",
       "      <td>0.000505</td>\n",
       "      <td>0.000330</td>\n",
       "      <td>0.003088</td>\n",
       "      <td>0.001294</td>\n",
       "      <td>0.000449</td>\n",
       "      <td>0.004168</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.000120</td>\n",
       "      <td>0.000701</td>\n",
       "      <td>0.000510</td>\n",
       "      <td>0.000049</td>\n",
       "      <td>0.000621</td>\n",
       "      <td>0.000694</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9450 rows × 464 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                            \\\n",
       "                       a                                                     \n",
       "             s         g         i         m         p         s         u   \n",
       "0     0.000555  0.000174  0.000445  0.000361  0.000555  0.000258  0.002536   \n",
       "1     0.000466  0.000119  0.000694  0.000203  0.000576  0.000278  0.002923   \n",
       "2     0.000459  0.000155  0.000367  0.000227  0.000405  0.000279  0.002875   \n",
       "3     0.000509  0.000236  0.000584  0.000322  0.000618  0.000285  0.003268   \n",
       "4     0.000583  0.000051  0.000406  0.000203  0.000291  0.000330  0.002801   \n",
       "5     0.000404  0.000083  0.000312  0.000309  0.000574  0.000219  0.003119   \n",
       "6     0.000546  0.000077  0.000340  0.000604  0.000430  0.000250  0.003294   \n",
       "7     0.000459  0.000290  0.000492  0.000230  0.000547  0.000334  0.002751   \n",
       "8     0.000496  0.000229  0.000386  0.000371  0.000502  0.000292  0.002774   \n",
       "9     0.000420  0.000220  0.000474  0.000217  0.000505  0.000330  0.003088   \n",
       "10    0.000555  0.000174  0.000445  0.000361  0.000555  0.000258  0.002536   \n",
       "11    0.000466  0.000119  0.000694  0.000203  0.000576  0.000278  0.002923   \n",
       "12    0.000459  0.000155  0.000367  0.000227  0.000405  0.000279  0.002875   \n",
       "13    0.000509  0.000236  0.000584  0.000322  0.000618  0.000285  0.003268   \n",
       "14    0.000583  0.000051  0.000406  0.000203  0.000291  0.000330  0.002801   \n",
       "15    0.000404  0.000083  0.000312  0.000309  0.000574  0.000219  0.003119   \n",
       "16    0.000546  0.000077  0.000340  0.000604  0.000430  0.000250  0.003294   \n",
       "17    0.000459  0.000290  0.000492  0.000230  0.000547  0.000334  0.002751   \n",
       "18    0.000496  0.000229  0.000386  0.000371  0.000502  0.000292  0.002774   \n",
       "19    0.000420  0.000220  0.000474  0.000217  0.000505  0.000330  0.003088   \n",
       "20    0.000555  0.000174  0.000445  0.000361  0.000555  0.000258  0.002536   \n",
       "21    0.000466  0.000119  0.000694  0.000203  0.000576  0.000278  0.002923   \n",
       "22    0.000459  0.000155  0.000367  0.000227  0.000405  0.000279  0.002875   \n",
       "23    0.000509  0.000236  0.000584  0.000322  0.000618  0.000285  0.003268   \n",
       "24    0.000583  0.000051  0.000406  0.000203  0.000291  0.000330  0.002801   \n",
       "25    0.000404  0.000083  0.000312  0.000309  0.000574  0.000219  0.003119   \n",
       "26    0.000546  0.000077  0.000340  0.000604  0.000430  0.000250  0.003294   \n",
       "27    0.000459  0.000290  0.000492  0.000230  0.000547  0.000334  0.002751   \n",
       "28    0.000496  0.000229  0.000386  0.000371  0.000502  0.000292  0.002774   \n",
       "29    0.000420  0.000220  0.000474  0.000217  0.000505  0.000330  0.003088   \n",
       "...        ...       ...       ...       ...       ...       ...       ...   \n",
       "9420  0.000555  0.000174  0.000445  0.000361  0.000555  0.000258  0.002536   \n",
       "9421  0.000466  0.000119  0.000694  0.000203  0.000576  0.000278  0.002923   \n",
       "9422  0.000459  0.000155  0.000367  0.000227  0.000405  0.000279  0.002875   \n",
       "9423  0.000509  0.000236  0.000584  0.000322  0.000618  0.000285  0.003268   \n",
       "9424  0.000583  0.000051  0.000406  0.000203  0.000291  0.000330  0.002801   \n",
       "9425  0.000404  0.000083  0.000312  0.000309  0.000574  0.000219  0.003119   \n",
       "9426  0.000546  0.000077  0.000340  0.000604  0.000430  0.000250  0.003294   \n",
       "9427  0.000459  0.000290  0.000492  0.000230  0.000547  0.000334  0.002751   \n",
       "9428  0.000496  0.000229  0.000386  0.000371  0.000502  0.000292  0.002774   \n",
       "9429  0.000420  0.000220  0.000474  0.000217  0.000505  0.000330  0.003088   \n",
       "9430  0.000555  0.000174  0.000445  0.000361  0.000555  0.000258  0.002536   \n",
       "9431  0.000466  0.000119  0.000694  0.000203  0.000576  0.000278  0.002923   \n",
       "9432  0.000459  0.000155  0.000367  0.000227  0.000405  0.000279  0.002875   \n",
       "9433  0.000509  0.000236  0.000584  0.000322  0.000618  0.000285  0.003268   \n",
       "9434  0.000583  0.000051  0.000406  0.000203  0.000291  0.000330  0.002801   \n",
       "9435  0.000404  0.000083  0.000312  0.000309  0.000574  0.000219  0.003119   \n",
       "9436  0.000546  0.000077  0.000340  0.000604  0.000430  0.000250  0.003294   \n",
       "9437  0.000459  0.000290  0.000492  0.000230  0.000547  0.000334  0.002751   \n",
       "9438  0.000496  0.000229  0.000386  0.000371  0.000502  0.000292  0.002774   \n",
       "9439  0.000420  0.000220  0.000474  0.000217  0.000505  0.000330  0.003088   \n",
       "9440  0.000555  0.000174  0.000445  0.000361  0.000555  0.000258  0.002536   \n",
       "9441  0.000466  0.000119  0.000694  0.000203  0.000576  0.000278  0.002923   \n",
       "9442  0.000459  0.000155  0.000367  0.000227  0.000405  0.000279  0.002875   \n",
       "9443  0.000509  0.000236  0.000584  0.000322  0.000618  0.000285  0.003268   \n",
       "9444  0.000583  0.000051  0.000406  0.000203  0.000291  0.000330  0.002801   \n",
       "9445  0.000404  0.000083  0.000312  0.000309  0.000574  0.000219  0.003119   \n",
       "9446  0.000546  0.000077  0.000340  0.000604  0.000430  0.000250  0.003294   \n",
       "9447  0.000459  0.000290  0.000492  0.000230  0.000547  0.000334  0.002751   \n",
       "9448  0.000496  0.000229  0.000386  0.000371  0.000502  0.000292  0.002774   \n",
       "9449  0.000420  0.000220  0.000474  0.000217  0.000505  0.000330  0.003088   \n",
       "\n",
       "                                   ...         v                      \\\n",
       "                       b         c ...         e         i         o   \n",
       "             v         i         e ...         s         c         i   \n",
       "0     0.001065  0.000394  0.004161 ...  0.000200  0.000110  0.000548   \n",
       "1     0.001081  0.000374  0.004044 ...  0.000283  0.000166  0.000586   \n",
       "2     0.001370  0.000425  0.004164 ...  0.000191  0.000074  0.000639   \n",
       "3     0.001219  0.000308  0.003346 ...  0.000285  0.000092  0.000667   \n",
       "4     0.001077  0.000330  0.003941 ...  0.000241  0.000139  0.000596   \n",
       "5     0.001346  0.000411  0.004588 ...  0.000225  0.000241  0.000790   \n",
       "6     0.000950  0.000257  0.004161 ...  0.000289  0.000116  0.001188   \n",
       "7     0.001132  0.000399  0.003725 ...  0.000514  0.000088  0.000717   \n",
       "8     0.001232  0.000363  0.004026 ...  0.000257  0.000082  0.000564   \n",
       "9     0.001294  0.000449  0.004168 ...  0.000241  0.000120  0.000701   \n",
       "10    0.001065  0.000394  0.004161 ...  0.000200  0.000110  0.000548   \n",
       "11    0.001081  0.000374  0.004044 ...  0.000283  0.000166  0.000586   \n",
       "12    0.001370  0.000425  0.004164 ...  0.000191  0.000074  0.000639   \n",
       "13    0.001219  0.000308  0.003346 ...  0.000285  0.000092  0.000667   \n",
       "14    0.001077  0.000330  0.003941 ...  0.000241  0.000139  0.000596   \n",
       "15    0.001346  0.000411  0.004588 ...  0.000225  0.000241  0.000790   \n",
       "16    0.000950  0.000257  0.004161 ...  0.000289  0.000116  0.001188   \n",
       "17    0.001132  0.000399  0.003725 ...  0.000514  0.000088  0.000717   \n",
       "18    0.001232  0.000363  0.004026 ...  0.000257  0.000082  0.000564   \n",
       "19    0.001294  0.000449  0.004168 ...  0.000241  0.000120  0.000701   \n",
       "20    0.001065  0.000394  0.004161 ...  0.000200  0.000110  0.000548   \n",
       "21    0.001081  0.000374  0.004044 ...  0.000283  0.000166  0.000586   \n",
       "22    0.001370  0.000425  0.004164 ...  0.000191  0.000074  0.000639   \n",
       "23    0.001219  0.000308  0.003346 ...  0.000285  0.000092  0.000667   \n",
       "24    0.001077  0.000330  0.003941 ...  0.000241  0.000139  0.000596   \n",
       "25    0.001346  0.000411  0.004588 ...  0.000225  0.000241  0.000790   \n",
       "26    0.000950  0.000257  0.004161 ...  0.000289  0.000116  0.001188   \n",
       "27    0.001132  0.000399  0.003725 ...  0.000514  0.000088  0.000717   \n",
       "28    0.001232  0.000363  0.004026 ...  0.000257  0.000082  0.000564   \n",
       "29    0.001294  0.000449  0.004168 ...  0.000241  0.000120  0.000701   \n",
       "...        ...       ...       ... ...       ...       ...       ...   \n",
       "9420  0.001065  0.000394  0.004161 ...  0.000200  0.000110  0.000548   \n",
       "9421  0.001081  0.000374  0.004044 ...  0.000283  0.000166  0.000586   \n",
       "9422  0.001370  0.000425  0.004164 ...  0.000191  0.000074  0.000639   \n",
       "9423  0.001219  0.000308  0.003346 ...  0.000285  0.000092  0.000667   \n",
       "9424  0.001077  0.000330  0.003941 ...  0.000241  0.000139  0.000596   \n",
       "9425  0.001346  0.000411  0.004588 ...  0.000225  0.000241  0.000790   \n",
       "9426  0.000950  0.000257  0.004161 ...  0.000289  0.000116  0.001188   \n",
       "9427  0.001132  0.000399  0.003725 ...  0.000514  0.000088  0.000717   \n",
       "9428  0.001232  0.000363  0.004026 ...  0.000257  0.000082  0.000564   \n",
       "9429  0.001294  0.000449  0.004168 ...  0.000241  0.000120  0.000701   \n",
       "9430  0.001065  0.000394  0.004161 ...  0.000200  0.000110  0.000548   \n",
       "9431  0.001081  0.000374  0.004044 ...  0.000283  0.000166  0.000586   \n",
       "9432  0.001370  0.000425  0.004164 ...  0.000191  0.000074  0.000639   \n",
       "9433  0.001219  0.000308  0.003346 ...  0.000285  0.000092  0.000667   \n",
       "9434  0.001077  0.000330  0.003941 ...  0.000241  0.000139  0.000596   \n",
       "9435  0.001346  0.000411  0.004588 ...  0.000225  0.000241  0.000790   \n",
       "9436  0.000950  0.000257  0.004161 ...  0.000289  0.000116  0.001188   \n",
       "9437  0.001132  0.000399  0.003725 ...  0.000514  0.000088  0.000717   \n",
       "9438  0.001232  0.000363  0.004026 ...  0.000257  0.000082  0.000564   \n",
       "9439  0.001294  0.000449  0.004168 ...  0.000241  0.000120  0.000701   \n",
       "9440  0.001065  0.000394  0.004161 ...  0.000200  0.000110  0.000548   \n",
       "9441  0.001081  0.000374  0.004044 ...  0.000283  0.000166  0.000586   \n",
       "9442  0.001370  0.000425  0.004164 ...  0.000191  0.000074  0.000639   \n",
       "9443  0.001219  0.000308  0.003346 ...  0.000285  0.000092  0.000667   \n",
       "9444  0.001077  0.000330  0.003941 ...  0.000241  0.000139  0.000596   \n",
       "9445  0.001346  0.000411  0.004588 ...  0.000225  0.000241  0.000790   \n",
       "9446  0.000950  0.000257  0.004161 ...  0.000289  0.000116  0.001188   \n",
       "9447  0.001132  0.000399  0.003725 ...  0.000514  0.000088  0.000717   \n",
       "9448  0.001232  0.000363  0.004026 ...  0.000257  0.000082  0.000564   \n",
       "9449  0.001294  0.000449  0.004168 ...  0.000241  0.000120  0.000701   \n",
       "\n",
       "                                           y         z               \n",
       "                                           s         a         i  z  \n",
       "             n         r         u                             o  a  \n",
       "0     0.000413  0.000065  0.001245  0.000329  0.000000  0.000000  0  \n",
       "1     0.000583  0.000063  0.000699  0.000188  0.000008  0.000008  0  \n",
       "2     0.000585  0.000054  0.000961  0.000317  0.000011  0.000007  0  \n",
       "3     0.000451  0.000034  0.000497  0.000425  0.000000  0.000000  0  \n",
       "4     0.000406  0.000076  0.000520  0.000266  0.000000  0.000000  0  \n",
       "5     0.000710  0.000046  0.000892  0.000306  0.000000  0.000000  0  \n",
       "6     0.000668  0.000083  0.000443  0.000289  0.000000  0.000000  0  \n",
       "7     0.000388  0.000131  0.000706  0.000208  0.000000  0.000000  0  \n",
       "8     0.000714  0.000060  0.001088  0.000296  0.000002  0.000002  0  \n",
       "9     0.000510  0.000049  0.000621  0.000694  0.000000  0.000000  0  \n",
       "10    0.000413  0.000065  0.001245  0.000329  0.000000  0.000000  0  \n",
       "11    0.000583  0.000063  0.000699  0.000188  0.000008  0.000008  0  \n",
       "12    0.000585  0.000054  0.000961  0.000317  0.000011  0.000007  0  \n",
       "13    0.000451  0.000034  0.000497  0.000425  0.000000  0.000000  0  \n",
       "14    0.000406  0.000076  0.000520  0.000266  0.000000  0.000000  0  \n",
       "15    0.000710  0.000046  0.000892  0.000306  0.000000  0.000000  0  \n",
       "16    0.000668  0.000083  0.000443  0.000289  0.000000  0.000000  0  \n",
       "17    0.000388  0.000131  0.000706  0.000208  0.000000  0.000000  0  \n",
       "18    0.000714  0.000060  0.001088  0.000296  0.000002  0.000002  0  \n",
       "19    0.000510  0.000049  0.000621  0.000694  0.000000  0.000000  0  \n",
       "20    0.000413  0.000065  0.001245  0.000329  0.000000  0.000000  0  \n",
       "21    0.000583  0.000063  0.000699  0.000188  0.000008  0.000008  0  \n",
       "22    0.000585  0.000054  0.000961  0.000317  0.000011  0.000007  0  \n",
       "23    0.000451  0.000034  0.000497  0.000425  0.000000  0.000000  0  \n",
       "24    0.000406  0.000076  0.000520  0.000266  0.000000  0.000000  0  \n",
       "25    0.000710  0.000046  0.000892  0.000306  0.000000  0.000000  0  \n",
       "26    0.000668  0.000083  0.000443  0.000289  0.000000  0.000000  0  \n",
       "27    0.000388  0.000131  0.000706  0.000208  0.000000  0.000000  0  \n",
       "28    0.000714  0.000060  0.001088  0.000296  0.000002  0.000002  0  \n",
       "29    0.000510  0.000049  0.000621  0.000694  0.000000  0.000000  0  \n",
       "...        ...       ...       ...       ...       ...       ... ..  \n",
       "9420  0.000413  0.000065  0.001245  0.000329  0.000000  0.000000  0  \n",
       "9421  0.000583  0.000063  0.000699  0.000188  0.000008  0.000008  0  \n",
       "9422  0.000585  0.000054  0.000961  0.000317  0.000011  0.000007  0  \n",
       "9423  0.000451  0.000034  0.000497  0.000425  0.000000  0.000000  0  \n",
       "9424  0.000406  0.000076  0.000520  0.000266  0.000000  0.000000  0  \n",
       "9425  0.000710  0.000046  0.000892  0.000306  0.000000  0.000000  0  \n",
       "9426  0.000668  0.000083  0.000443  0.000289  0.000000  0.000000  0  \n",
       "9427  0.000388  0.000131  0.000706  0.000208  0.000000  0.000000  0  \n",
       "9428  0.000714  0.000060  0.001088  0.000296  0.000002  0.000002  0  \n",
       "9429  0.000510  0.000049  0.000621  0.000694  0.000000  0.000000  0  \n",
       "9430  0.000413  0.000065  0.001245  0.000329  0.000000  0.000000  0  \n",
       "9431  0.000583  0.000063  0.000699  0.000188  0.000008  0.000008  0  \n",
       "9432  0.000585  0.000054  0.000961  0.000317  0.000011  0.000007  0  \n",
       "9433  0.000451  0.000034  0.000497  0.000425  0.000000  0.000000  0  \n",
       "9434  0.000406  0.000076  0.000520  0.000266  0.000000  0.000000  0  \n",
       "9435  0.000710  0.000046  0.000892  0.000306  0.000000  0.000000  0  \n",
       "9436  0.000668  0.000083  0.000443  0.000289  0.000000  0.000000  0  \n",
       "9437  0.000388  0.000131  0.000706  0.000208  0.000000  0.000000  0  \n",
       "9438  0.000714  0.000060  0.001088  0.000296  0.000002  0.000002  0  \n",
       "9439  0.000510  0.000049  0.000621  0.000694  0.000000  0.000000  0  \n",
       "9440  0.000413  0.000065  0.001245  0.000329  0.000000  0.000000  0  \n",
       "9441  0.000583  0.000063  0.000699  0.000188  0.000008  0.000008  0  \n",
       "9442  0.000585  0.000054  0.000961  0.000317  0.000011  0.000007  0  \n",
       "9443  0.000451  0.000034  0.000497  0.000425  0.000000  0.000000  0  \n",
       "9444  0.000406  0.000076  0.000520  0.000266  0.000000  0.000000  0  \n",
       "9445  0.000710  0.000046  0.000892  0.000306  0.000000  0.000000  0  \n",
       "9446  0.000668  0.000083  0.000443  0.000289  0.000000  0.000000  0  \n",
       "9447  0.000388  0.000131  0.000706  0.000208  0.000000  0.000000  0  \n",
       "9448  0.000714  0.000060  0.001088  0.000296  0.000002  0.000002  0  \n",
       "9449  0.000510  0.000049  0.000621  0.000694  0.000000  0.000000  0  \n",
       "\n",
       "[9450 rows x 464 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fr_dataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "file_name=\"C:\\\\Users\\\\YsfDS\\\\Documents\\\\AI Project\\\\DataFrames\\\\fr_df\"\n",
    "with open (file_name,'wb') as pickle_out32:\n",
    "    pickle.dump(fr_dataFrame,pickle_out32)\n",
    "del(pickle_out32)"
   ]
  }
 ],
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