Я новичок в языке Python, но я написал пример кода, который вычисляет оценки сходства между записями в этом списке.
Код выглядит следующим образом.
import re
import array
listcdtitles = [""" Liszt, Hungarian Rhapsody #6 {'Pesther Carneval'}; 2 Episodes from Lenau's 'Faust'; 'Hunnenschlacht' Symphonic Poem. (NW German Phil./ Kulka) """,
""" Puccini, Verdi, Gounod, Bizet: Arias & Duets from Butterfly, Tosca, Boheme, Turandot, I Vespri, Faust, Carmen. (Fiamma Izzo d'Amico & Peter Dvorsky w.Berlin Radio Symph./Paternostro) """,
""" Tchaikovsky, 'The Tempest' Fantasy. Liszt, Symphonic Poem #1. (London Symph./Butt) """,
""" Duffy, John: 'Heritage: Civilization and the Jews'- Fanfare & Chorale, Symphonic Dances + Orchestral Suite. Bernstein, 'On the Town' Dance Episodes. (Royal Phil./R.Williams) """,
""" Lilien, Ignace {1897-1963}: Songs, 1920-1935. (Anja van Wijk, mezzo & Frans van Ruth, piano) """,
""" Hindemith, Trauermusik. Purcell, 'Fairy Queen' Suite. Rossini, String Sonata #6. Petrov, 'Creation of the World' Ballet Suite. Bartok, Romanian Folkdances Sz 56. Tartini, Flute Concerto in G {w.A.Maiorov} (Leningrad Orch.for Ancient & Modern Music/ Serov) """,
""" Bizet, Verdi, Massenet, Puccini: Arias from Carmen, Rigoletto, Werther, Manon Lescaut, Tosca, Turandot + Songs by Lara, Di Capua et al. (Peter Dvorsky, tenor w.Bratislava Orch./Lenard {Also performing 'Carmen' Overt.& 'Thais' Meditation}. Rec.Live, 10/87) """,
""" Fantini, Rauch, C.Straus, Priuli, Bertali: 'Festival Mass at the Imperial Court of Vienna, 1648' (Yorkshire Bach Choir & Baroque Soloists + Baroque Brass of London/Seymour) """,
""" Vinci, Leonardo {c.1690-1730}: Arias from Semiramide Riconosciuta, Didone Abbandonata, La Caduta dei Decemviri, Lo Cecato Fauzo, La Festa de Bacco, Catone in Utica. (Maria Angeles Peters sop. w.M.Carraro conducting) """,
""" Gluck, Mozart, Beethoven, Weber, Verdi, Wagner, Ponchielli, Mascagni, Puccini: Arias from Alceste, Don Giovanni, Fidelio, Oberon, Ballo, Tristan, Walkure, Siegfried, Gotterdammerung, Gioconda, Cavalleria, Tosca. (Helene Wildbrunn. Rec.1919-24) """,
""" Stanley, Wesley, Stubley, Boyce, Handel, Heron, Russell, Hook: '18th Century Organ Music on Period Instruments' (Same instruments and artist as above) """,
""" Reimann, 'Unrevealed' for Baritone & String Quartet to Texts by Lord Byron {R.Salter w.Kreuzberger Quartet}; Variations for Piano (David Levine) """,
""" Bruckner, Symphony #9. (Berlin Philharmonic/ Jochum. Rec. 'live', 11/28/77) """,
""" Bruckner, Symphony #5. (Haas Edition. BBC Symph./ Horenstein. Rec.9/71) """]
entryDictionary = {}
i=0
for entry in listcdtitles:
#remove unnecessary characters from the string
entry=re.sub(r'[^\w ]', '', entry.lower(), flags=re.IGNORECASE)
#split the entry into words and store it in the
entryDictionary[i]=entry.split(" ")
i=i+1
# print the dictionary
print("Entries")
print(entryDictionary)
# define a score matrix, compare the words in each entry and if
# a word is same in both entries, that is one point
scoreMatrix = []
for k in range(i):
scoreMatrix.append([])
for j in range (i):
if j>k:
scoreMatrix[k].append(0)
else:
scoreMatrix[k].append("-")
k=0
j=0
for k in range(i-1):
entry1 = entryDictionary[k]
for j in range(k+1,i):
entry2 = entryDictionary[j]
for kk in range(len(entry1)):
for jj in range(len(entry2)):
if entry1[kk] != "" and entry1[kk] == entry2[jj]:
scoreMatrix[k][j] = scoreMatrix[k][j] + 1
print "Score Matrix (Higher numbers denote heigher similarity between two entries"
print repr("").rjust(10),
for k in range(i-1):
print repr("Entry " + str(k)).rjust(10),
print repr("Entry " + str(i-1)).rjust(10)
for k in range(i):
scoreMatrix.append([])
print repr("Entry " + str(k)).rjust(10),
for j in range (i-1):
print repr(scoreMatrix[k][j]).rjust(10),
print repr(scoreMatrix[k][i-1]).rjust(10)
Результат выглядит следующим образом: Матрица баллов (Большие цифры обозначают большее сходство между двумя записями
'' 'Entry 0' 'Entry 1' 'Entry 2' 'Entry 3' 'Entry 4' 'Entry 5' 'Entry 6' 'Entry 7' 'Entry 8' 'Entry 9' 'Entry 10' 'Entry 11' 'Entry 12' 'Entry 13'
'Entry 0' '-' 2 3 2 0 1 1 0 1 1 0 0 0 0
'Entry 1' '-' '-' 0 0 0 0 11 0 2 5 0 0 0 0
'Entry 2' '-' '-' '-' 3 0 1 0 1 0 0 0 0 0 0
'Entry 3' '-' '-' '-' '-' 0 4 0 2 0 0 2 0 0 0
'Entry 4' '-' '-' '-' '-' '-' 0 1 0 0 0 0 1 0 0
'Entry 5' '-' '-' '-' '-' '-' '-' 0 3 1 0 1 1 0 0
'Entry 6' '-' '-' '-' '-' '-' '-' '-' 0 2 5 0 1 0 0
'Entry 7' '-' '-' '-' '-' '-' '-' '-' '-' 0 0 0 0 0 0
'Entry 8' '-' '-' '-' '-' '-' '-' '-' '-' '-' 2 0 0 0 0
'Entry 9' '-' '-' '-' '-' '-' '-' '-' '-' '-' '-' 0 0 0 0
'Entry 10' '-' '-' '-' '-' '-' '-' '-' '-' '-' '-' '-' 0 0 0
'Entry 11' '-' '-' '-' '-' '-' '-' '-' '-' '-' '-' '-' '-' 0 0
'Entry 12' '-' '-' '-' '-' '-' '-' '-' '-' '-' '-' '-' '-' '-' 2
'Entry 13' '-' '-' '-' '-' '-' '-' '-' '-' '-' '-' '-' '-' '-' '-'