maj

Stat/TP3/Exercice1_corpus/c.py

-# On importe la librairie json.
+
 
 import json
 import unidecode
 
-new_file = open("freq_lettre_fr_approx.json","w")
-
-Alphabet=['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z']
-
-dictionnary ={}
-
-with open("Corpus/amourSwann.txt", "r") as txt:
-    lignes = unidecode.unidecode(txt.read().lower()) 
-    print(lignes)
-    for i in range(0,26):
-        freqlettre=lignes.count(Alphabet[i])/len(lignes)*100
-        dictionnary[Alphabet[i]]=freqlettre
-
-
-json.dump(dictionnary,new_file)
-# On ferme le fichier.
-new_file.close()    
 
+def filetofreq(txt,fichier):
+    new_file = open(fichier,"w")
+    dictionnary ={}
+    Alphabet=['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z',' ']
+    with open(txt, "r",encoding="UTF-8") as txt:
+        lignes = unidecode.unidecode(txt.read().lower()) 
+        print(lignes)
+        for i in range(0,26):
+            freqlettre=lignes.count(Alphabet[i])/(len(lignes)-lignes.count(Alphabet[26]))*100
+            dictionnary[Alphabet[i]]=freqlettre
+    
+    json.dump(dictionnary,new_file)
+    new_file.close()   
+
+
+def main():
+    filetofreq("Corpus/amourSwann.txt","freq_lettre_fr_approx.json")
+     
+main()
 

Stat/TP3/Exercice1_corpus/freq_lettre_fr_approx.json

-{"a": 6.913184696814113, "b": 0.5162908151797873, "c": 2.3090957969564623, "d": 2.861304411058275, "e": 13.402847862780787, "f": 0.7337808000634621, "g": 0.5248846443697197, "h": 0.5934149232945657, "i": 6.320651191898002, "j": 0.321938062730546, "k": 0.0013221275676819136, "l": 4.548118832825783, "m": 2.1094545342364937, "n": 5.420723027495846, "o": 3.7729113689749543, "p": 2.1751202034313617, "q": 1.2328839568633847, "r": 4.926247317182811, "s": 5.735389388604141, "t": 5.943183771324816, "u": 5.32861480694734, "v": 1.4468482682332409, "w": 0.11370297082064458, "x": 0.26376444975254176, "y": 0.2042687092068557, "z": 0.1322127567681914}
\ No newline at end of file
+{"a": 8.210791637974717, "b": 0.6381955903179285, "c": 2.8461548455831718, "d": 3.4108124261046946, "e": 15.91149453661959, "f": 0.9032442475346576, "g": 0.635077370821261, "h": 0.706536567619889, "i": 7.528421271454, "j": 0.4157625995556537, "k": 0.0015591097483337016, "l": 5.410370678342667, "m": 2.6728338118934087, "n": 6.4087206205256795, "o": 4.592097912092195, "p": 2.6216430418231194, "q": 1.4808944092922942, "r": 5.821196097028597, "s": 6.9432354125794165, "t": 7.032104668234439, "u": 6.293086647524264, "v": 1.8083074564423713, "w": 0.13564254810503204, "x": 0.31182194966674026, "y": 0.24088245611755688, "z": 0.15695038133225928}
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Stat/TP3/Exercice2_Caesar/c.py

 import string
-from sympy import false, true
-
+from turtle import width
+import pandas as pd
+import matplotlib.pyplot as plt
+import numpy as np
+import json
+import unidecode
 
 alphabet=string.ascii_lowercase
 ALPHABET=string.ascii_uppercase
@@ -8,8 +12,8 @@ ALPHABET=string.ascii_uppercase
 def is_upper(x):
     for i in ALPHABET:
         if x==i:
-            return true
-    return false
+            return True
+    return False
 
 def caesar_crypt(msg,decal):
 
@@ -27,16 +31,68 @@ def caesar_crypt(msg,decal):
                     msg_crypt+=new_alphabet[y]
     return msg_crypt
 
-with open("encrypted_with_caesar.txt","r") as txt:
-    str=txt.read()
-    print(str,"\n")
-    print(caesar_crypt(str, 3))
+def txtcryptjson(fichier,decal):
+    with open(fichier,"r",encoding="UTF-8") as txt:
+        new_file = open("crypted_with_caesar.txt","w")
+        str=txt.read()
+        strcry=caesar_crypt(str, decal)
+        new_file.write(strcry)
+        new_file.close()
+        filetofreq("crypted_with_caesar.txt","freq2.json")
+
+def filetofreq(text,fichier):
+    new_file = open(fichier,"w")
+    dictionnary ={}
+    Alphabet=['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z',' ']
+    with open(text, "r",encoding="UTF-8") as txt:
+        lignes = unidecode.unidecode(txt.read().lower()) 
+        for i in range(0,26):
+            freqlettre=lignes.count(Alphabet[i])/(len(lignes)-lignes.count(Alphabet[26]))*100
+            dictionnary[Alphabet[i]]=freqlettre
+    
+    json.dump(dictionnary,new_file)
+    new_file.close()   
 
 def bar_freq(fichier):
-    return*
+    dictionary = json.load(open(fichier, 'r'))
+    xAxis = [key for key, value in dictionary.items()]
+    yAxis = [value for key, value in dictionary.items()]
+
+    fig, ax = plt.subplots()
+    plt.xticks(rotation=35,ha="right")
+    ax.bar(xAxis,yAxis)
+    plt.tight_layout()
+    ax.set_title("Fréquence d'apparition d'une lettre")
+    plt.show()
+    
 
 def bar_freq1_freq2(fichier1,fichier2):
-    return
+    dictionary = json.load(open(fichier1, 'r'))
+    xAxis = [key for key, value in dictionary.items()]
+    yAxis = [value for key, value in dictionary.items()]
+    dictionary2 = json.load(open(fichier2, 'r'))
+    xAxis2 = [key for key,value in dictionary2.items()]
+    yAxis2 = [value for key, value in dictionary2.items()]
+
+    fig, ax = plt.subplots()
+    plt.xticks(rotation=35,ha="right")
+    ax.bar(np.arange(len(xAxis))+0.2,yAxis,0.4)
+    ax.bar(np.arange(len(xAxis2))-0.2,yAxis2,0.4)
+    plt.tight_layout()
+    ax.set_title("Fréquence d'apparition d'une lettre")
+    plt.show()
 
 def bar_compare_freq(fichier1,fichier2,decal):
-    return
\ No newline at end of file
+    txtcryptjson(fichier2,decal)
+    bar_freq1_freq2(fichier1,fichier2)
+
+def main():
+    filetofreq("encrypted_with_caesar.txt","freq1.json")
+    txtcryptjson("encrypted_with_caesar.txt",3)
+    
+    #bar_freq("freq1.json")
+    #bar_freq1_freq2("freq1.json","freq2.json")
+    bar_compare_freq("freq1.json","freq2.json",0)
+        
+
+main()
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Stat/TP3/Exercice2_Caesar/crypted_with_caesar.txt

+abcdefghijklmnopqrstuvwxyz
\ No newline at end of file

Stat/TP3/Exercice2_Caesar/freq1.json

+{"a": 0.06353240152477764, "b": 0.0, "c": 5.082592121982211, "d": 3.1130876747141043, "e": 7.306226175349428, "f": 4.193138500635324, "g": 2.6048284625158833, "h": 1.1435832274459974, "i": 5.336721728081321, "j": 8.259212198221093, "k": 7.814485387547649, "l": 6.289707750952986, "m": 0.3811944091486658, "n": 0.0, "o": 0.3176620076238882, "p": 0.44472681067344344, "q": 0.06353240152477764, "r": 7.496823379923762, "s": 1.7153748411689964, "t": 4.701397712833545, "u": 3.6213468869123253, "v": 16.96315120711563, "w": 2.096569250317662, "x": 1.2706480304955527, "y": 2.096569250317662, "z": 7.6238881829733165}
\ No newline at end of file

Stat/TP3/Exercice2_Caesar/freq2.json

+{"a": 3.8461538461538463, "b": 3.8461538461538463, "c": 3.8461538461538463, "d": 3.8461538461538463, "e": 3.8461538461538463, "f": 3.8461538461538463, "g": 3.8461538461538463, "h": 3.8461538461538463, "i": 3.8461538461538463, "j": 3.8461538461538463, "k": 3.8461538461538463, "l": 3.8461538461538463, "m": 3.8461538461538463, "n": 3.8461538461538463, "o": 3.8461538461538463, "p": 3.8461538461538463, "q": 3.8461538461538463, "r": 3.8461538461538463, "s": 3.8461538461538463, "t": 3.8461538461538463, "u": 3.8461538461538463, "v": 3.8461538461538463, "w": 3.8461538461538463, "x": 3.8461538461538463, "y": 3.8461538461538463, "z": 3.8461538461538463}
\ No newline at end of file