correlation author rating and works count.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "author:Sydelle Kramer     works_count:50      1/588\n",
      "author:Living Language     works_count:536      2/588\n",
      "author:Karl Marx     works_count:951      3/588\n",
      "author:Alan S. Tussy     works_count:96      4/588\n",
      "author:John Gray     works_count:321      5/588\n",
      "author:Hila Colman     works_count:50      6/588\n",
      "author:National Research Council     works_count:6295      7/588\n",
      "author:Robert Kraus     works_count:142      8/588\n",
      "author:Henry MacKenzie     works_count:80      9/588\n",
      "author:Liz Palika     works_count:83      10/588\n",
      "author:Paul Kropp     works_count:85      11/588\n",
      "author:Berlie Doherty     works_count:100      12/588\n",
      "author:Sarah Glendon Lyons     works_count:1      13/588\n",
      "author:Katie Marsico     works_count:339      14/588\n",
      "author:يوسف القعيد     works_count:38      15/588\n",
      "author:Phillip Mann     works_count:24      16/588\n",
      "author:Kim Lawrence     works_count:516      17/588\n",
      "author:Elsa Z. Posell     works_count:11      18/588\n",
      "author:Barbara A. Somervill     works_count:199      19/588\n",
      "author:Wolfgang Hohlbein     works_count:615      20/588\n",
      "author:Maggie Black     works_count:57      21/588\n",
      "author:Margaret Hillert     works_count:186      22/588\n",
      "author:Jerrold Morgulas     works_count:4      23/588\n",
      "author:Stephen Crane     works_count:479      24/588\n",
      "author:William H. Davidow     works_count:4      25/588\n",
      "author:Gavin Booth     works_count:57      26/588\n",
      "author:Miranda Jarrett     works_count:78      27/588\n",
      "author:Gerhart Hauptmann     works_count:210      28/588\n",
      "author:Margaret Way     works_count:342      29/588\n",
      "author:Luis Mateo Díez     works_count:86      30/588\n",
      "author:Robert Holdstock     works_count:86      31/588\n",
      "author:Charles L. Grant     works_count:276      32/588\n",
      "author:Susan Dunlap     works_count:62      33/588\n",
      "author:Daniel Easterman     works_count:19      34/588\n",
      "author:Phillip C. McGraw     works_count:51      35/588\n",
      "author:Anton Chekhov     works_count:3150      36/588\n",
      "author:Barbara Weltman     works_count:82      37/588\n",
      "author:Max Gallo     works_count:140      38/588\n",
      "author:Jonathan Lethem     works_count:188      39/588\n",
      "author:Teresa Southwick     works_count:280      40/588\n",
      "author:Jennifer Greene     works_count:185      41/588\n",
      "author:John Creasey     works_count:385      42/588\n",
      "author:Pierre Pratt     works_count:80      43/588\n",
      "author:Nina Berberova     works_count:72      44/588\n",
      "author:Lisa Jackson     works_count:205      45/588\n",
      "author:Various     works_count:69943      46/588\n",
      "author:Debbie Dadey     works_count:195      47/588\n",
      "author:Fay Weldon     works_count:153      48/588\n",
      "author:Sandra Chastain     works_count:64      49/588\n",
      "author:Johann Wolfgang von Goethe     works_count:3806      50/588\n",
      "author:Peter Haining     works_count:286      51/588\n",
      "author:Alberto Vázquez-Figueroa     works_count:117      52/588\n",
      "author:Penny Jordan     works_count:730      53/588\n",
      "author:Robert Moss     works_count:56      54/588\n",
      "author:Doris Dörrie     works_count:48      55/588\n",
      "author:Harold Pinter     works_count:207      56/588\n",
      "author:Gish Jen     works_count:34      57/588\n",
      "author:Carl Bridenbaugh     works_count:18      58/588\n",
      "author:Stefan Wolf     works_count:240      59/588\n",
      "author:Pierre de Marivaux     works_count:244      60/588\n",
      "author:Augusto Roa Bastos     works_count:52      61/588\n",
      "author:Amélie Nothomb     works_count:58      62/588\n",
      "author:Boris Vian     works_count:194      63/588\n",
      "author:Tom Wolfe     works_count:114      64/588\n",
      "author:Jack Williamson     works_count:341      65/588\n",
      "author:Terry Sanchez-Clark     works_count:58      66/588\n",
      "author:Robert Wechsler     works_count:9      67/588\n",
      "author:Cynthia Amoroso     works_count:280      68/588\n",
      "author:Roger  Williams     works_count:54      69/588\n",
      "author:Hugo Claus     works_count:139      70/588\n",
      "author:J.R. Roberts     works_count:483      71/588\n",
      "author:Clint Willis     works_count:57      72/588\n",
      "author:Geoffrey Chaucer     works_count:485      73/588\n",
      "author:Susan Helen Wallace     works_count:27      74/588\n",
      "author:Michael Foreman     works_count:273      75/588\n",
      "author:Tony Hillerman     works_count:96      76/588\n",
      "author:Geoffrey Wolff     works_count:22      77/588\n",
      "author:Scott Spencer     works_count:49      78/588\n",
      "author:Tom Piccirilli     works_count:175      79/588\n",
      "author:Joy Cowley     works_count:908      80/588\n",
      "author:Oscar Wilde     works_count:1977      81/588\n",
      "author:Graham Greene     works_count:331      82/588\n",
      "author:Russell Freedman     works_count:67      83/588\n",
      "author:Douglas Coupland     works_count:71      84/588\n",
      "author:John E. Stith     works_count:18      85/588\n",
      "author:John Steinbeck     works_count:341      86/588\n",
      "author:Henry James     works_count:1834      87/588\n",
      "author:Patricia Highsmith     works_count:255      88/588\n",
      "author:Jonathan Swift     works_count:815      89/588\n",
      "author:Mark Frauenfelder     works_count:68      90/588\n",
      "author:Jean-Christophe Grangé     works_count:45      91/588\n",
      "author:Andrew Burstein     works_count:14      92/588\n",
      "author:Ian McEwan     works_count:95      93/588\n",
      "author:Andreas Eschbach     works_count:138      94/588\n",
      "author:NOT A BOOK     works_count:694356      95/588\n",
      "author:G.A. Henty     works_count:370      96/588\n",
      "author:Val McDermid     works_count:193      97/588\n",
      "author:Nathaniel Hawthorne     works_count:1558      98/588\n",
      "author:Paulo Coelho     works_count:203      99/588\n",
      "author:Lauren Henderson     works_count:34      100/588\n",
      "author:Paul Theroux     works_count:171      101/588\n",
      "author:Francine Pascal     works_count:796      102/588\n",
      "author:Tara Taylor Quinn     works_count:173      103/588\n",
      "author:Joyce Carol Oates     works_count:624      104/588\n",
      "author:Harrison E. Salisbury     works_count:54      105/588\n",
      "author:W.E. Johns     works_count:185      106/588\n",
      "author:Garon Tsuchiya     works_count:19      107/588\n",
      "author:Paul Auster     works_count:173      108/588\n",
      "author:Duane Elgin     works_count:12      109/588\n",
      "author:David Feldman     works_count:59      110/588\n",
      "author:Hergé     works_count:337      111/588\n",
      "author:Dashiell Hammett     works_count:280      112/588\n",
      "author:Kahlil Gibran     works_count:763      113/588\n",
      "author:Jerzy Kosiński     works_count:28      114/588\n",
      "author:Terry Eagleton     works_count:102      115/588\n",
      "author:Wendy Markham     works_count:24      116/588\n",
      "author:Julia Justiss     works_count:99      117/588\n",
      "author:Philip K. Dick     works_count:1086      118/588\n",
      "author:Elizabeth Payson Prentiss     works_count:45      119/588\n",
      "author:J.T. Edson     works_count:210      120/588\n",
      "author:Victor Pelevin     works_count:151      121/588\n",
      "author:Michelle Lovric     works_count:81      122/588\n",
      "author:Graham Masterton     works_count:316      123/588\n",
      "author:Daniel C. Dennett     works_count:50      124/588\n",
      "author:Martha Grimes     works_count:68      125/588\n",
      "author:Barbara Delinsky     works_count:177      126/588\n",
      "author:Mary Higgins Clark     works_count:313      127/588\n",
      "author:Sheila Solomon Klass     works_count:16      128/588\n",
      "author:Larry McMurtry     works_count:87      129/588\n",
      "author:Daphne du Maurier     works_count:249      130/588\n",
      "author:Charles R. Swindoll     works_count:472      131/588\n",
      "author:Alan Dean Foster     works_count:323      132/588\n",
      "author:George Mackay Brown     works_count:82      133/588\n",
      "author:A.M. Homes     works_count:54      134/588\n",
      "author:Jane Green     works_count:40      135/588\n",
      "author:Gordon R. Dickson     works_count:392      136/588\n",
      "author:Ann M. Martin     works_count:640      137/588\n",
      "author:Ruben Eliassen     works_count:28      138/588\n",
      "author:Cathy Hopkins     works_count:83      139/588\n",
      "author:R.L. Stine     works_count:1072      140/588\n",
      "author:Bruce Coville     works_count:236      141/588\n",
      "author:Frank Miller     works_count:669      142/588\n",
      "author:James Hadley Chase     works_count:237      143/588\n",
      "author:Piers Anthony     works_count:350      144/588\n",
      "author:Jan Guillou     works_count:75      145/588\n",
      "author:Margaret Atwood     works_count:357      146/588\n",
      "author:Janice Kay Johnson     works_count:165      147/588\n",
      "author:Molière     works_count:647      148/588\n",
      "author:Shaun Hutson     works_count:96      149/588\n",
      "author:Walt Disney Company     works_count:16766      150/588\n",
      "author:Daniel Defoe     works_count:1007      151/588\n",
      "author:Eric Van Lustbader     works_count:125      152/588\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "author:Theodore Roosevelt     works_count:706      153/588\n",
      "author:Philippa Pearce     works_count:68      154/588\n",
      "author:Donald Spoto     works_count:37      155/588\n",
      "author:Irwin Shaw     works_count:96      156/588\n",
      "author:L. Sprague de Camp     works_count:472      157/588\n",
      "author:F. Scott Fitzgerald     works_count:809      158/588\n",
      "author:Jerry Siegel     works_count:337      159/588\n",
      "author:Gary Paulsen     works_count:222      160/588\n",
      "author:Joseph Conrad     works_count:961      161/588\n",
      "author:Martha Stewart     works_count:187      162/588\n",
      "author:Andrew Woods     works_count:58      163/588\n",
      "author:Garrison Keillor     works_count:211      164/588\n",
      "author:Elizabeth Gaskell     works_count:478      165/588\n",
      "author:Gaius Julius Caesar     works_count:632      166/588\n",
      "author:Michael   Freeman     works_count:240      167/588\n",
      "author:Cristina Peri Rossi     works_count:75      168/588\n",
      "author:Elizabeth Thornton     works_count:37      169/588\n",
      "author:Time-Life Books     works_count:1702      170/588\n",
      "author:Robert E. Weinberg     works_count:135      171/588\n",
      "author:Marilyn Lee     works_count:148      172/588\n",
      "author:Miranda Lee     works_count:504      173/588\n",
      "author:Elias Canetti     works_count:78      174/588\n",
      "author:Rebecca Winters     works_count:666      175/588\n",
      "author:Michael Moorcock     works_count:641      176/588\n",
      "author:Arthur Schopenhauer     works_count:445      177/588\n",
      "author:Henrik Ibsen     works_count:485      178/588\n",
      "author:Edward de Bono     works_count:164      179/588\n",
      "author:Janet Frame     works_count:51      180/588\n",
      "author:Marion Gräfin Dönhoff     works_count:30      181/588\n",
      "author:Karen McCombie     works_count:89      182/588\n",
      "author:David Almond     works_count:60      183/588\n",
      "author:Meg Cabot     works_count:170      184/588\n",
      "author:John le Carré     works_count:120      185/588\n",
      "author:David Mack     works_count:89      186/588\n",
      "author:Virginia Woolf     works_count:897      187/588\n",
      "author:Thomas Brezina     works_count:605      188/588\n",
      "author:John M. Rickard     works_count:15      189/588\n",
      "author:H. Rider Haggard     works_count:745      190/588\n",
      "author:Jacob Grimm     works_count:2217      191/588\n",
      "author:Ernest Hemingway     works_count:865      192/588\n",
      "author:Voltaire     works_count:1613      193/588\n",
      "author:Penelope Lively     works_count:104      194/588\n",
      "author:John Wyndham     works_count:197      195/588\n",
      "author:Paola Antonelli     works_count:47      196/588\n",
      "author:Jodi Picoult     works_count:70      197/588\n",
      "author:David Eddings     works_count:128      198/588\n",
      "author:Fiona Watt     works_count:756      199/588\n",
      "author:Philip José Farmer     works_count:385      200/588\n",
      "author:Leigh Nichols     works_count:6      201/588\n",
      "author:Karl May     works_count:845      202/588\n",
      "author:Zane Grey     works_count:738      203/588\n",
      "author:Georges Simenon     works_count:1013      204/588\n",
      "author:Orson Scott Card     works_count:589      205/588\n",
      "author:Catherine Cookson     works_count:199      206/588\n",
      "author:Donna Ball     works_count:52      207/588\n",
      "author:Sandra Brown     works_count:160      208/588\n",
      "author:Gore Vidal     works_count:156      209/588\n",
      "author:Lee A. Jacobus     works_count:50      210/588\n",
      "author:George Eliot     works_count:770      211/588\n",
      "author:Henry Rollins     works_count:81      212/588\n",
      "author:Fred Chappell     works_count:86      213/588\n",
      "author:Diane Paterson     works_count:164      214/588\n",
      "author:Philippa Gregory     works_count:78      215/588\n",
      "author:Maryanne Blacker     works_count:70      216/588\n",
      "author:Charles Dickens     works_count:4479      217/588\n",
      "author:Frank Herbert     works_count:298      218/588\n",
      "author:Annie Proulx     works_count:73      219/588\n",
      "author:Victoria Holt     works_count:89      220/588\n",
      "author:Jeffery Deaver     works_count:243      221/588\n",
      "author:Anant Pai     works_count:732      222/588\n",
      "author:Sergio Pitol     works_count:103      223/588\n",
      "author:Howard Blum     works_count:21      224/588\n",
      "author:Patricia H. Rushford     works_count:59      225/588\n",
      "author:Thomas Hardy     works_count:1049      226/588\n",
      "author:Louis L'Amour     works_count:525      227/588\n",
      "author:Cornelia Otis Skinner     works_count:21      228/588\n",
      "author:Martha N. Beck     works_count:20      229/588\n",
      "author:Sigmund Brouwer     works_count:174      230/588\n",
      "author:Wilkie Collins     works_count:988      231/588\n",
      "author:Jack Kerouac     works_count:210      232/588\n",
      "author:Andrée Chedid     works_count:62      233/588\n",
      "author:Rudyard Kipling     works_count:2112      234/588\n",
      "author:Katherine Paterson     works_count:124      235/588\n",
      "author:Washington Irving     works_count:1944      236/588\n",
      "author:Mark Twain     works_count:3132      237/588\n",
      "author:Ivan Turgenev     works_count:861      238/588\n",
      "author:Virginia H. Ellison     works_count:4      239/588\n",
      "author:Cynthia Ozick     works_count:73      240/588\n",
      "author:Diana Palmer     works_count:662      241/588\n",
      "author:Ann Rinaldi     works_count:50      242/588\n",
      "author:Claude Lévi-Strauss     works_count:117      243/588\n",
      "author:James Patterson     works_count:647      244/588\n",
      "author:Unknown     works_count:143621      245/588\n",
      "author:Ed McBain     works_count:330      246/588\n",
      "author:Peter David     works_count:1991      247/588\n",
      "author:Marthe Le Van     works_count:45      248/588\n",
      "author:Megan McDonald     works_count:224      249/588\n",
      "author:Edgar Rice Burroughs     works_count:702      250/588\n",
      "author:Laura Childs     works_count:52      251/588\n",
      "author:Carolyn Keene     works_count:902      252/588\n",
      "author:Marcia Muller     works_count:172      253/588\n",
      "author:Robert Ludlum     works_count:195      254/588\n",
      "author:Elmore Leonard     works_count:144      255/588\n",
      "author:Marguerite Duras     works_count:178      256/588\n",
      "author:Louisa May Alcott     works_count:1069      257/588\n",
      "author:Harry Harrison     works_count:651      258/588\n",
      "author:R.C. Sproul     works_count:292      259/588\n",
      "author:Selma Lagerlöf     works_count:419      260/588\n",
      "author:Ngaio Marsh     works_count:105      261/588\n",
      "author:Gertrude Chandler Warner     works_count:348      262/588\n",
      "author:James Herbert     works_count:53      263/588\n",
      "author:Danielle Steel     works_count:230      264/588\n",
      "author:Dean Koontz     works_count:464      265/588\n",
      "author:Jude Deveraux     works_count:90      266/588\n",
      "author:Jonathan Kellerman     works_count:122      267/588\n",
      "author:Max Allan Collins     works_count:507      268/588\n",
      "author:Camilo José Cela     works_count:146      269/588\n",
      "author:Joe R. Lansdale     works_count:601      270/588\n",
      "author:David A. Adler     works_count:319      271/588\n",
      "author:Franklin W. Dixon     works_count:706      272/588\n",
      "author:John Piper     works_count:321      273/588\n",
      "author:Fatema Mernissi     works_count:34      274/588\n",
      "author:Ripley Entertainment Inc.     works_count:531      275/588\n",
      "author:John Keay     works_count:45      276/588\n",
      "author:José Saramago     works_count:182      277/588\n",
      "author:William Shakespeare     works_count:4918      278/588\n",
      "author:Carson McCullers     works_count:88      279/588\n",
      "author:Joanne Harris     works_count:70      280/588\n",
      "author:Robert Munsch     works_count:168      281/588\n",
      "author:Sophocles     works_count:481      282/588\n",
      "author:Amanda Quick     works_count:94      283/588\n",
      "author:Sue Henry     works_count:23      284/588\n",
      "author:Alice Munro     works_count:168      285/588\n",
      "author:Elizabeth Koda-Callan     works_count:15      286/588\n",
      "author:Astrid Lindgren     works_count:495      287/588\n",
      "author:Shiloh Walker     works_count:193      288/588\n",
      "author:Jessica Fletcher     works_count:60      289/588\n",
      "author:Andrew M. Greeley     works_count:217      290/588\n",
      "author:Insight Guides     works_count:1888      291/588\n",
      "author:Susanna Davidson     works_count:123      292/588\n",
      "author:Terry Brooks     works_count:172      293/588\n",
      "author:Dick Francis     works_count:264      294/588\n",
      "author:Noam Chomsky     works_count:597      295/588\n",
      "author:Theodore Sturgeon     works_count:531      296/588\n",
      "author:Ian Irvine     works_count:78      297/588\n",
      "author:Nicholas Sparks     works_count:107      298/588\n",
      "author:E.E. \"Doc\" Smith     works_count:148      299/588\n",
      "author:Lori Handeland     works_count:87      300/588\n",
      "author:Lloyd Alexander     works_count:71      301/588\n",
      "author:Kosuke Fujishima     works_count:329      302/588\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "author:Howard Pyle     works_count:357      303/588\n",
      "author:Emily Rodda     works_count:159      304/588\n",
      "author:Rebecca West     works_count:81      305/588\n",
      "author:Clive Cussler     works_count:150      306/588\n",
      "author:Robert B. Parker     works_count:167      307/588\n",
      "author:Agatha Christie     works_count:2382      308/588\n",
      "author:David    Allen     works_count:44      309/588\n",
      "author:Andrew Harvey     works_count:124      310/588\n",
      "author:Honoré de Balzac     works_count:2286      311/588\n",
      "author:Stephen King     works_count:1556      312/588\n",
      "author:Roger Zelazny     works_count:520      313/588\n",
      "author:Robert A. Heinlein     works_count:528      314/588\n",
      "author:Jean Craighead George     works_count:137      315/588\n",
      "author:Robert D. San Souci     works_count:84      316/588\n",
      "author:Mack Reynolds     works_count:344      317/588\n",
      "author:René Goscinny     works_count:677      318/588\n",
      "author:Terry Pratchett     works_count:450      319/588\n",
      "author:Irvine Welsh     works_count:84      320/588\n",
      "author:Jackie Collins     works_count:111      321/588\n",
      "author:John Wesley     works_count:1079      322/588\n",
      "author:Jayne Ann Krentz     works_count:268      323/588\n",
      "author:Franz Kafka     works_count:1492      324/588\n",
      "author:Elizabeth Peters     works_count:78      325/588\n",
      "author:Tad Williams     works_count:198      326/588\n",
      "author:Max Brand     works_count:732      327/588\n",
      "author:Anthony Read     works_count:25      328/588\n",
      "author:Sherman Alexie     works_count:102      329/588\n",
      "author:V.C. Andrews     works_count:151      330/588\n",
      "author:George Bernard Shaw     works_count:558      331/588\n",
      "author:Jules Verne     works_count:1783      332/588\n",
      "author:Amy Tan     works_count:80      333/588\n",
      "author:The Diagram Group     works_count:265      334/588\n",
      "author:Adam Ward     works_count:43      335/588\n",
      "author:Peter Gay     works_count:65      336/588\n",
      "author:Aristotle     works_count:1322      337/588\n",
      "author:Mark Billingham     works_count:63      338/588\n",
      "author:Thomas Mann     works_count:640      339/588\n",
      "author:Grace Livingston Hill     works_count:222      340/588\n",
      "author:Masami Kurumada     works_count:506      341/588\n",
      "author:Michel Foucault     works_count:353      342/588\n",
      "author:Linda Lael Miller     works_count:266      343/588\n",
      "author:Roger Hargreaves     works_count:892      344/588\n",
      "author:Georgette Heyer     works_count:113      345/588\n",
      "author:Debra Webb     works_count:351      346/588\n",
      "author:Jorge Luis Borges     works_count:880      347/588\n",
      "author:Jack C. Richards     works_count:604      348/588\n",
      "author:Kathleen Duey     works_count:109      349/588\n",
      "author:Tom Clancy     works_count:273      350/588\n",
      "author:Walter Dean Myers     works_count:180      351/588\n",
      "author:John Buchan     works_count:817      352/588\n",
      "author:John Jakes     works_count:206      353/588\n",
      "author:Irene Hannon     works_count:79      354/588\n",
      "author:Enid Blyton     works_count:3005      355/588\n",
      "author:Ovid     works_count:685      356/588\n",
      "author:Vladimir Nabokov     works_count:388      357/588\n",
      "author:Marcel Reich-Ranicki     works_count:118      358/588\n",
      "author:L. Frank Baum     works_count:800      359/588\n",
      "author:C.G. Jung     works_count:608      360/588\n",
      "author:Ludwig Bemelmans     works_count:86      361/588\n",
      "author:Raymond Chandler     works_count:268      362/588\n",
      "author:Pablo Neruda     works_count:442      363/588\n",
      "author:Diana Butler Bass     works_count:19      364/588\n",
      "author:Mary Pope Osborne     works_count:404      365/588\n",
      "author:Debbie Macomber     works_count:552      366/588\n",
      "author:Jim Davis     works_count:1582      367/588\n",
      "author:Len Deighton     works_count:85      368/588\n",
      "author:Parke Godwin     works_count:274      369/588\n",
      "author:John Haywood     works_count:116      370/588\n",
      "author:Michael Morpurgo     works_count:339      371/588\n",
      "author:Luther Blissett     works_count:39      372/588\n",
      "author:Al Lacy     works_count:81      373/588\n",
      "author:Frederick Forsyth     works_count:174      374/588\n",
      "author:Friedrich Nietzsche     works_count:1180      375/588\n",
      "author:Edgar Allan Poe     works_count:3417      376/588\n",
      "author:Harold R. Isaacs     works_count:22      377/588\n",
      "author:Sahara Kelly     works_count:175      378/588\n",
      "author:Charles L. Allen     works_count:50      379/588\n",
      "author:Matteo Mancini     works_count:9      380/588\n",
      "author:Hal Leonard Publishing Company     works_count:4968      381/588\n",
      "author:Reader's Digest Association     works_count:2654      382/588\n",
      "author:Penny Vincenzi     works_count:46      383/588\n",
      "author:Barbara Cartland     works_count:782      384/588\n",
      "author:Rumi     works_count:634      385/588\n",
      "author:Julie Garwood     works_count:68      386/588\n",
      "author:Yayoi Ogawa     works_count:51      387/588\n",
      "author:Marion Zimmer Bradley     works_count:416      388/588\n",
      "author:Mircea Eliade     works_count:316      389/588\n",
      "author:Harlan Coben     works_count:116      390/588\n",
      "author:Erwin Raphael McManus     works_count:35      391/588\n",
      "author:Ray Bradbury     works_count:570      392/588\n",
      "author:Ellen Levine     works_count:55      393/588\n",
      "author:Miguel de Cervantes Saavedra     works_count:818      394/588\n",
      "author:Jane Yolen     works_count:793      395/588\n",
      "author:Hitoshi Okuda     works_count:31      396/588\n",
      "author:Gabriel García Márquez     works_count:462      397/588\n",
      "author:Arthur C. Clarke     works_count:924      398/588\n",
      "author:Roald Dahl     works_count:799      399/588\n",
      "author:Robert B. Cialdini     works_count:33      400/588\n",
      "author:Michel Butor     works_count:137      401/588\n",
      "author:Jane Austen     works_count:1766      402/588\n",
      "author:Cate Tiernan     works_count:41      403/588\n",
      "author:Margaret Peterson Haddix     works_count:80      404/588\n",
      "author:Italo Calvino     works_count:325      405/588\n",
      "author:Peter Gabriel     works_count:20      406/588\n",
      "author:Plato     works_count:1342      407/588\n",
      "author:George A. Kennedy     works_count:21      408/588\n",
      "author:Bob Sehlinger     works_count:144      409/588\n",
      "author:James C. Dobson     works_count:217      410/588\n",
      "author:Gabrielle Charbonnet     works_count:40      411/588\n",
      "author:Lori Copeland     works_count:144      412/588\n",
      "author:Joanne Mattern     works_count:730      413/588\n",
      "author:Ian Gibson     works_count:64      414/588\n",
      "author:Anne McCaffrey     works_count:353      415/588\n",
      "author:Hermann Hesse     works_count:752      416/588\n",
      "author:Lewis Carroll     works_count:1070      417/588\n",
      "author:Margaret Frazer     works_count:50      418/588\n",
      "author:Nizami Ganjavi     works_count:75      419/588\n",
      "author:Bill Bryson     works_count:60      420/588\n",
      "author:Boris Akunin     works_count:147      421/588\n",
      "author:Tom Tierney     works_count:281      422/588\n",
      "author:Aaron Posner     works_count:7      423/588\n",
      "author:Robert Graves     works_count:287      424/588\n",
      "author:Neil Gaiman     works_count:1308      425/588\n",
      "author:Chris d'Lacey     works_count:52      426/588\n",
      "author:Niccolò Machiavelli     works_count:362      427/588\n",
      "author:Joan Aiken     works_count:261      428/588\n",
      "author:Margaret Coel     works_count:51      429/588\n",
      "author:Alan Moore     works_count:876      430/588\n",
      "author:Steven Pinker     works_count:43      431/588\n",
      "author:Robert Louis Stevenson     works_count:2733      432/588\n",
      "author:Albert Brian Bosworth     works_count:9      433/588\n",
      "author:C.S. Lewis     works_count:611      434/588\n",
      "author:Alexandre Dumas     works_count:2572      435/588\n",
      "author:Stephen R. Lawhead     works_count:87      436/588\n",
      "author:Bertrice Small     works_count:85      437/588\n",
      "author:MaryJanice Davidson     works_count:129      438/588\n",
      "author:Adam Blade     works_count:437      439/588\n",
      "author:Temple Grandin     works_count:89      440/588\n",
      "author:Rumiko Takahashi     works_count:1030      441/588\n",
      "author:Harlan Ellison     works_count:707      442/588\n",
      "author:Langston Hughes     works_count:253      443/588\n",
      "author:J. Patrick Lewis     works_count:117      444/588\n",
      "author:Heather Amery     works_count:352      445/588\n",
      "author:Harold Bloom     works_count:1238      446/588\n",
      "author:Julio Cortázar     works_count:451      447/588\n",
      "author:Betty Neels     works_count:370      448/588\n",
      "author:Eknath Easwaran     works_count:92      449/588\n",
      "author:J.M. Barrie     works_count:587      450/588\n",
      "author:Isaac Asimov     works_count:2742      451/588\n",
      "author:Dan Simmons     works_count:202      452/588\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "author:Trace Moroney     works_count:127      453/588\n",
      "author:Brenda Jackson     works_count:507      454/588\n",
      "author:Adam McLeod     works_count:20      455/588\n",
      "author:George C. Chesbro     works_count:41      456/588\n",
      "author:Melba Pattillo Beals     works_count:5      457/588\n",
      "author:Carlos Castaneda     works_count:79      458/588\n",
      "author:Keiichi Sigsawa     works_count:80      459/588\n",
      "author:Brian Wildsmith     works_count:124      460/588\n",
      "author:Ruth Ryan Langan     works_count:138      461/588\n",
      "author:Madeleine L'Engle     works_count:134      462/588\n",
      "author:Norman Cousins     works_count:53      463/588\n",
      "author:Peter Robinson     works_count:149      464/588\n",
      "author:Matt Christopher     works_count:285      465/588\n",
      "author:P.C. Cast     works_count:103      466/588\n",
      "author:Bertolt Brecht     works_count:718      467/588\n",
      "author:Bathroom Readers' Institute     works_count:217      468/588\n",
      "author:Eric Kraft     works_count:33      469/588\n",
      "author:E.F. Benson     works_count:512      470/588\n",
      "author:Dorothy L. Sayers     works_count:334      471/588\n",
      "author:L.M. Montgomery     works_count:728      472/588\n",
      "author:Martin Heidegger     works_count:333      473/588\n",
      "author:John Sandford     works_count:85      474/588\n",
      "author:Hans Christian Andersen     works_count:2203      475/588\n",
      "author:Jack Canfield     works_count:1008      476/588\n",
      "author:Simone de Beauvoir     works_count:176      477/588\n",
      "author:Billy Graham     works_count:272      478/588\n",
      "author:P.G. Wodehouse     works_count:835      479/588\n",
      "author:Christine Feehan     works_count:140      480/588\n",
      "author:Anne Golon     works_count:148      481/588\n",
      "author:Jack Du Brul     works_count:25      482/588\n",
      "author:Janette Oke     works_count:152      483/588\n",
      "author:Nora Roberts     works_count:809      484/588\n",
      "author:Arthur Conan Doyle     works_count:4889      485/588\n",
      "author:Martin Esslin     works_count:33      486/588\n",
      "author:Stan Lee     works_count:2853      487/588\n",
      "author:Napoleon Hill     works_count:534      488/588\n",
      "author:Richard Henderson     works_count:31      489/588\n",
      "author:Edwin P. Hoyt     works_count:145      490/588\n",
      "author:Jim Butcher     works_count:165      491/588\n",
      "author:James Boyd White     works_count:20      492/588\n",
      "author:Yōko Kamio     works_count:214      493/588\n",
      "author:Charles Darwin     works_count:521      494/588\n",
      "author:Stefan Zweig     works_count:736      495/588\n",
      "author:James Joyce     works_count:791      496/588\n",
      "author:Margaret Wise Brown     works_count:257      497/588\n",
      "author:Frederick Douglass     works_count:344      498/588\n",
      "author:Mahmoud Darwish     works_count:152      499/588\n",
      "author:Jack Schaefer     works_count:34      500/588\n",
      "author:Jorge Ibargüengoitia     works_count:49      501/588\n",
      "author:Doreen Virtue     works_count:319      502/588\n",
      "author:Charlotte Brontë     works_count:974      503/588\n",
      "author:T.S. Eliot     works_count:374      504/588\n",
      "author:Charles Bukowski     works_count:404      505/588\n",
      "author:Dalai Lama XIV     works_count:734      506/588\n",
      "author:Mikhail Lermontov     works_count:214      507/588\n",
      "author:Geza Szurovy     works_count:18      508/588\n",
      "author:Albert Einstein     works_count:373      509/588\n",
      "author:R.A. Torrey     works_count:177      510/588\n",
      "author:Diana Wynne Jones     works_count:117      511/588\n",
      "author:Carl Sagan     works_count:81      512/588\n",
      "author:Christina Skye     works_count:56      513/588\n",
      "author:Charles M. Schulz     works_count:1790      514/588\n",
      "author:Eric Carle     works_count:426      515/588\n",
      "author:Laura Ingalls Wilder     works_count:178      516/588\n",
      "author:William R. Newman     works_count:12      517/588\n",
      "author:Maia Wojciechowska     works_count:16      518/588\n",
      "author:David Gemmell     works_count:98      519/588\n",
      "author:Not For Tourists     works_count:118      520/588\n",
      "author:John Fante     works_count:41      521/588\n",
      "author:Spencer Johnson     works_count:87      522/588\n",
      "author:Alexander Afanasyev     works_count:79      523/588\n",
      "author:Mario Vargas Llosa     works_count:254      524/588\n",
      "author:Lois McMaster Bujold     works_count:122      525/588\n",
      "author:Rex Stout     works_count:290      526/588\n",
      "author:Richmal Crompton     works_count:181      527/588\n",
      "author:Arnold Lobel     works_count:183      528/588\n",
      "author:Richard Scarry     works_count:686      529/588\n",
      "author:Roger Priddy     works_count:1838      530/588\n",
      "author:João Cabral de Melo Neto     works_count:42      531/588\n",
      "author:William W. Johnstone     works_count:443      532/588\n",
      "author:Paulo Freire     works_count:80      533/588\n",
      "author:Victor Hugo     works_count:1951      534/588\n",
      "author:Fyodor Dostoyevsky     works_count:1445      535/588\n",
      "author:Joseph Murphy     works_count:310      536/588\n",
      "author:Mark Davies     works_count:77      537/588\n",
      "author:CLAMP     works_count:682      538/588\n",
      "author:Stan Berenstain     works_count:529      539/588\n",
      "author:Margaret Mitchell     works_count:94      540/588\n",
      "author:Michael Connelly     works_count:260      541/588\n",
      "author:Angela Elwell Hunt     works_count:198      542/588\n",
      "author:Ann Charters     works_count:26      543/588\n",
      "author:Stanisław Lem     works_count:336      544/588\n",
      "author:Henri J.M. Nouwen     works_count:190      545/588\n",
      "author:Cassie Edwards     works_count:121      546/588\n",
      "author:Alan W. Watts     works_count:198      547/588\n",
      "author:Kimberla Lawson Roby     works_count:29      548/588\n",
      "author:John Ettling     works_count:1      549/588\n",
      "author:Ahmad H. Sakr     works_count:35      550/588\n",
      "author:Jim Razzi     works_count:100      551/588\n",
      "author:Charles Baudelaire     works_count:839      552/588\n",
      "author:Max Lucado     works_count:990      553/588\n",
      "author:Stephen Bly     works_count:118      554/588\n",
      "author:Tite Kubo     works_count:286      555/588\n",
      "author:Kevin J. Vanhoozer     works_count:42      556/588\n",
      "author:Patrick O'Brian     works_count:114      557/588\n",
      "author:Jeannie St. John Taylor     works_count:23      558/588\n",
      "author:Anne E. Neuberger     works_count:23      559/588\n",
      "author:Eugene H. Peterson     works_count:325      560/588\n",
      "author:Beatrix Potter     works_count:1646      561/588\n",
      "author:Yoshihiro Togashi     works_count:206      562/588\n",
      "author:Richard P. Feynman     works_count:129      563/588\n",
      "author:Robert McAfee Brown     works_count:37      564/588\n",
      "author:Oxford University Press     works_count:1477      565/588\n",
      "author:Michel Serres     works_count:91      566/588\n",
      "author:Rainer Maria Rilke     works_count:761      567/588\n",
      "author:John Stuart Mill     works_count:383      568/588\n",
      "author:Anonymous     works_count:172449      569/588\n",
      "author:Betty Crocker     works_count:432      570/588\n",
      "author:Philip Schaff     works_count:672      571/588\n",
      "author:Arina Tanemura     works_count:189      572/588\n",
      "author:Rabindranath Tagore     works_count:1088      573/588\n",
      "author:J.R.R. Tolkien     works_count:486      574/588\n",
      "author:Rosanne Bittner     works_count:76      575/588\n",
      "author:Eiichiro Oda     works_count:543      576/588\n",
      "author:Murray Ball     works_count:87      577/588\n",
      "author:Edgar Cayce     works_count:136      578/588\n",
      "author:William Blake     works_count:481      579/588\n",
      "author:Margaret Storey     works_count:28      580/588\n",
      "author:Plutarch     works_count:1419      581/588\n",
      "author:Vicki Lansky     works_count:62      582/588\n",
      "author:Ivo Andrić     works_count:181      583/588\n",
      "author:William Wordsworth     works_count:503      584/588\n",
      "author:Dorothy Dunnett     works_count:32      585/588\n",
      "author:Hafez     works_count:151      586/588\n",
      "author:Charles Haddon Spurgeon     works_count:2453      587/588\n",
      "author:Richard K. Nongard     works_count:19      588/588\n"
     ]
    }
   ],
   "source": [
    "import csv\n",
    "from goodreads import client\n",
    "gc = client.GoodreadsClient('pvr3ns4Le0DCqEpAG2jlQ', '4BM2D4d8ZvFcJNqRQ3OjQq1Qh3OrvMAvHiI0lTOUFE')\n",
    "\n",
    "def takeSecond(elem):\n",
    "    return elem[1]\n",
    "\n",
    "with open('datav3.csv','r',encoding=\"utf-8\") as f:\n",
    "    reader = csv.reader(f)\n",
    "    fieldnames = next(reader)\n",
    "    # print(fieldnames)\n",
    "    csv_reader = csv.DictReader(f,fieldnames=fieldnames)\n",
    "    cntAuthor={}\n",
    "    authoridx={}\n",
    "    anthortotalrating={}\n",
    "    for row in csv_reader:\n",
    "        d={}\n",
    "        for k,v in row.items():\n",
    "            d[k]=v\n",
    "        if d['author'] in cntAuthor:\n",
    "            cntAuthor[d['author']]+=1\n",
    "            #print(anthortotalrating[d['author']])\n",
    "            anthortotalrating[d['author']]+=float(d['rating'])\n",
    "            \n",
    "        else:\n",
    "            cntAuthor[d['author']]=1\n",
    "            authoridx[d['author']]=d['ID']\n",
    "            #print(float(d['rating']))\n",
    "            anthortotalrating[d['author']]=float(d['rating'])\n",
    "#print(anthortotalrating)\n",
    "authorratingtuple=[]\n",
    "for i in cntAuthor:\n",
    "    if cntAuthor[i]>1:\n",
    "        authorratingtuple.append((i,round(anthortotalrating[i]/cntAuthor[i],3)))\n",
    "authorratingtuple.sort(key=takeSecond)\n",
    "#print(authorratingtuple)\n",
    "authorwork={}\n",
    "cnt=0\n",
    "f=open('authorRatingWork.txt','w')\n",
    "for i in authorratingtuple:\n",
    "    cnt+=1\n",
    "    author = gc.author(gc.book(authoridx[i[0]]).authors[0].gid)\n",
    "    wk=author.works_count\n",
    "    print(\"author:%s     works_count:%s      %s/%s\"%(i[0],wk,cnt,len(authorratingtuple)))\n",
    "    authorwork[i]=wk\n",
    "    line=\"%s   %s   %s\"%(i[0],i[1],wk)\n",
    "    f.write(line+\"\\n\")\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sydelle Kramer   2.0   50\n",
      "\n",
      "Living Language   2.1   536\n",
      "\n",
      "Karl Marx   2.275   951\n",
      "\n",
      "Alan S. Tussy   2.3   96\n",
      "\n",
      "John Gray   2.375   321\n",
      "\n",
      "Hila Colman   2.5   50\n",
      "\n",
      "National Research Council   2.5   6295\n",
      "\n",
      "Robert Kraus   2.615   142\n",
      "\n",
      "Henry MacKenzie   2.875   80\n",
      "\n",
      "Liz Palika   2.9   83\n",
      "\n",
      "Paul Kropp   2.915   85\n",
      "\n",
      "Berlie Doherty   2.985   100\n",
      "\n",
      "Sarah Glendon Lyons   3.08   1\n",
      "\n",
      "Katie Marsico   3.085   339\n",
      "\n",
      "يوسف القعيد   3.135   38\n",
      "\n",
      "Phillip Mann   3.14   24\n",
      "\n",
      "Kim Lawrence   3.145   516\n",
      "\n",
      "Elsa Z. Posell   3.165   11\n",
      "\n",
      "Barbara A. Somervill   3.165   199\n",
      "\n",
      "Wolfgang Hohlbein   3.175   615\n",
      "\n",
      "Maggie Black   3.205   57\n",
      "\n",
      "Margaret Hillert   3.207   186\n",
      "\n",
      "Jerrold Morgulas   3.21   4\n",
      "\n",
      "Stephen Crane   3.23   479\n",
      "\n",
      "William H. Davidow   3.24   4\n",
      "\n",
      "Gavin Booth   3.25   57\n",
      "\n",
      "Miranda Jarrett   3.265   78\n",
      "\n",
      "Gerhart Hauptmann   3.273   210\n",
      "\n",
      "Margaret Way   3.275   342\n",
      "\n",
      "Luis Mateo Díez   3.29   86\n",
      "\n",
      "Robert Holdstock   3.29   86\n",
      "\n",
      "Charles L. Grant   3.32   276\n",
      "\n",
      "Susan Dunlap   3.32   62\n",
      "\n",
      "Daniel Easterman   3.32   19\n",
      "\n",
      "Phillip C. McGraw   3.325   51\n",
      "\n",
      "Anton Chekhov   3.335   3150\n",
      "\n",
      "Barbara Weltman   3.335   82\n",
      "\n",
      "Max Gallo   3.335   140\n",
      "\n",
      "Jonathan Lethem   3.345   188\n",
      "\n",
      "Teresa Southwick   3.36   280\n",
      "\n",
      "Jennifer Greene   3.365   185\n",
      "\n",
      "John Creasey   3.37   385\n",
      "\n",
      "Pierre Pratt   3.375   80\n",
      "\n",
      "Nina Berberova   3.38   72\n",
      "\n",
      "Lisa Jackson   3.385   205\n",
      "\n",
      "Various   3.393   69943\n",
      "\n",
      "Debbie Dadey   3.4   195\n",
      "\n",
      "Fay Weldon   3.4   153\n",
      "\n",
      "Sandra Chastain   3.405   64\n",
      "\n",
      "Johann Wolfgang von Goethe   3.407   3806\n",
      "\n",
      "Peter Haining   3.407   286\n",
      "\n",
      "Alberto Vázquez-Figueroa   3.41   117\n",
      "\n",
      "Penny Jordan   3.42   730\n",
      "\n",
      "Robert Moss   3.425   56\n",
      "\n",
      "Doris Dörrie   3.43   48\n",
      "\n",
      "Harold Pinter   3.44   207\n",
      "\n",
      "Gish Jen   3.445   34\n",
      "\n",
      "Carl Bridenbaugh   3.45   18\n",
      "\n",
      "Stefan Wolf   3.457   240\n",
      "\n",
      "Pierre de Marivaux   3.46   244\n",
      "\n",
      "Augusto Roa Bastos   3.465   52\n",
      "\n",
      "Amélie Nothomb   3.465   58\n",
      "\n",
      "Boris Vian   3.467   194\n",
      "\n",
      "Tom Wolfe   3.47   114\n",
      "\n",
      "Jack Williamson   3.475   341\n",
      "\n",
      "Terry Sanchez-Clark   3.5   58\n",
      "\n",
      "Robert Wechsler   3.5   9\n",
      "\n",
      "Cynthia Amoroso   3.5   280\n",
      "\n",
      "Roger  Williams   3.505   54\n",
      "\n",
      "Hugo Claus   3.505   139\n",
      "\n",
      "J.R. Roberts   3.51   483\n",
      "\n",
      "Clint Willis   3.51   57\n",
      "\n",
      "Geoffrey Chaucer   3.515   485\n",
      "\n",
      "Susan Helen Wallace   3.52   27\n",
      "\n",
      "Michael Foreman   3.523   273\n",
      "\n",
      "Tony Hillerman   3.53   96\n",
      "\n",
      "Geoffrey Wolff   3.53   22\n",
      "\n",
      "Scott Spencer   3.54   49\n",
      "\n",
      "Tom Piccirilli   3.54   175\n",
      "\n",
      "Joy Cowley   3.543   908\n",
      "\n",
      "Oscar Wilde   3.547   1977\n",
      "\n",
      "Graham Greene   3.55   331\n",
      "\n",
      "Russell Freedman   3.55   67\n",
      "\n",
      "Douglas Coupland   3.553   71\n",
      "\n",
      "John E. Stith   3.555   18\n",
      "\n",
      "John Steinbeck   3.555   341\n",
      "\n",
      "Henry James   3.556   1834\n",
      "\n",
      "Patricia Highsmith   3.56   255\n",
      "\n",
      "Jonathan Swift   3.56   815\n",
      "\n",
      "Mark Frauenfelder   3.56   68\n",
      "\n",
      "Jean-Christophe Grangé   3.56   45\n",
      "\n",
      "Andrew Burstein   3.57   14\n",
      "\n",
      "Ian McEwan   3.573   95\n",
      "\n",
      "Andreas Eschbach   3.575   138\n",
      "\n",
      "NOT A BOOK   3.578   694356\n",
      "\n",
      "G.A. Henty   3.58   370\n",
      "\n",
      "Val McDermid   3.58   193\n",
      "\n",
      "Nathaniel Hawthorne   3.58   1558\n",
      "\n",
      "Paulo Coelho   3.59   203\n",
      "\n",
      "Lauren Henderson   3.59   34\n",
      "\n",
      "Paul Theroux   3.59   171\n",
      "\n",
      "Francine Pascal   3.59   796\n",
      "\n",
      "Tara Taylor Quinn   3.59   173\n",
      "\n",
      "Joyce Carol Oates   3.595   624\n",
      "\n",
      "Harrison E. Salisbury   3.6   54\n",
      "\n",
      "W.E. Johns   3.6   185\n",
      "\n",
      "Garon Tsuchiya   3.605   19\n",
      "\n",
      "Paul Auster   3.61   173\n",
      "\n",
      "Duane Elgin   3.61   12\n",
      "\n",
      "David Feldman   3.615   59\n",
      "\n",
      "Hergé   3.617   337\n",
      "\n",
      "Dashiell Hammett   3.62   280\n",
      "\n",
      "Kahlil Gibran   3.62   763\n",
      "\n",
      "Jerzy Kosiński   3.623   28\n",
      "\n",
      "Terry Eagleton   3.63   102\n",
      "\n",
      "Wendy Markham   3.63   24\n",
      "\n",
      "Julia Justiss   3.63   99\n",
      "\n",
      "Philip K. Dick   3.635   1086\n",
      "\n",
      "Elizabeth Payson Prentiss   3.64   45\n",
      "\n",
      "J.T. Edson   3.64   210\n",
      "\n",
      "Victor Pelevin   3.64   151\n",
      "\n",
      "Michelle Lovric   3.64   81\n",
      "\n",
      "Graham Masterton   3.643   316\n",
      "\n",
      "Daniel C. Dennett   3.645   50\n",
      "\n",
      "Martha Grimes   3.645   68\n",
      "\n",
      "Barbara Delinsky   3.645   177\n",
      "\n",
      "Mary Higgins Clark   3.65   313\n",
      "\n",
      "Sheila Solomon Klass   3.65   16\n",
      "\n",
      "Larry McMurtry   3.65   87\n",
      "\n",
      "Daphne du Maurier   3.653   249\n",
      "\n",
      "Charles R. Swindoll   3.655   472\n",
      "\n",
      "Alan Dean Foster   3.655   323\n",
      "\n",
      "George Mackay Brown   3.655   82\n",
      "\n",
      "A.M. Homes   3.66   54\n",
      "\n",
      "Jane Green   3.66   40\n",
      "\n",
      "Gordon R. Dickson   3.663   392\n",
      "\n",
      "Ann M. Martin   3.663   640\n",
      "\n",
      "Ruben Eliassen   3.665   28\n",
      "\n",
      "Cathy Hopkins   3.665   83\n",
      "\n",
      "R.L. Stine   3.666   1072\n",
      "\n",
      "Bruce Coville   3.67   236\n",
      "\n",
      "Frank Miller   3.67   669\n",
      "\n",
      "James Hadley Chase   3.67   237\n",
      "\n",
      "Piers Anthony   3.672   350\n",
      "\n",
      "Jan Guillou   3.673   75\n",
      "\n",
      "Margaret Atwood   3.68   357\n",
      "\n",
      "Janice Kay Johnson   3.68   165\n",
      "\n",
      "Molière   3.685   647\n",
      "\n",
      "Shaun Hutson   3.685   96\n",
      "\n",
      "Walt Disney Company   3.69   16766\n",
      "\n",
      "Daniel Defoe   3.69   1007\n",
      "\n",
      "Eric Van Lustbader   3.69   125\n",
      "\n",
      "Theodore Roosevelt   3.69   706\n",
      "\n",
      "Philippa Pearce   3.705   68\n",
      "\n",
      "Donald Spoto   3.705   37\n",
      "\n",
      "Irwin Shaw   3.71   96\n",
      "\n",
      "L. Sprague de Camp   3.71   472\n",
      "\n",
      "F. Scott Fitzgerald   3.71   809\n",
      "\n",
      "Jerry Siegel   3.71   337\n",
      "\n",
      "Gary Paulsen   3.71   222\n",
      "\n",
      "Joseph Conrad   3.714   961\n",
      "\n",
      "Martha Stewart   3.715   187\n",
      "\n",
      "Andrew Woods   3.715   58\n",
      "\n",
      "Garrison Keillor   3.715   211\n",
      "\n",
      "Elizabeth Gaskell   3.72   478\n",
      "\n",
      "Gaius Julius Caesar   3.72   632\n",
      "\n",
      "Michael   Freeman   3.72   240\n",
      "\n",
      "Cristina Peri Rossi   3.72   75\n",
      "\n",
      "Elizabeth Thornton   3.72   37\n",
      "\n",
      "Time-Life Books   3.722   1702\n",
      "\n",
      "Robert E. Weinberg   3.725   135\n",
      "\n",
      "Marilyn Lee   3.725   148\n",
      "\n",
      "Miranda Lee   3.727   504\n",
      "\n",
      "Elias Canetti   3.73   78\n",
      "\n",
      "Rebecca Winters   3.73   666\n",
      "\n",
      "Michael Moorcock   3.73   641\n",
      "\n",
      "Arthur Schopenhauer   3.735   445\n",
      "\n",
      "Henrik Ibsen   3.735   485\n",
      "\n",
      "Edward de Bono   3.74   164\n",
      "\n",
      "Janet Frame   3.74   51\n",
      "\n",
      "Marion Gräfin Dönhoff   3.74   30\n",
      "\n",
      "Karen McCombie   3.74   89\n",
      "\n",
      "David Almond   3.745   60\n",
      "\n",
      "Meg Cabot   3.745   170\n",
      "\n",
      "John le Carré   3.745   120\n",
      "\n",
      "David Mack   3.75   89\n",
      "\n",
      "Virginia Woolf   3.75   897\n",
      "\n",
      "Thomas Brezina   3.75   605\n",
      "\n",
      "John M. Rickard   3.75   15\n",
      "\n",
      "H. Rider Haggard   3.753   745\n",
      "\n",
      "Jacob Grimm   3.755   2217\n",
      "\n",
      "Ernest Hemingway   3.757   865\n",
      "\n",
      "Voltaire   3.76   1613\n",
      "\n",
      "Penelope Lively   3.76   104\n",
      "\n",
      "John Wyndham   3.77   197\n",
      "\n",
      "Paola Antonelli   3.775   47\n",
      "\n",
      "Jodi Picoult   3.775   70\n",
      "\n",
      "David Eddings   3.78   128\n",
      "\n",
      "Fiona Watt   3.78   756\n",
      "\n",
      "Philip José Farmer   3.78   385\n",
      "\n",
      "Leigh Nichols   3.78   6\n",
      "\n",
      "Karl May   3.785   845\n",
      "\n",
      "Zane Grey   3.785   738\n",
      "\n",
      "Georges Simenon   3.785   1013\n",
      "\n",
      "Orson Scott Card   3.79   589\n",
      "\n",
      "Catherine Cookson   3.79   199\n",
      "\n",
      "Donna Ball   3.79   52\n",
      "\n",
      "Sandra Brown   3.793   160\n",
      "\n",
      "Gore Vidal   3.793   156\n",
      "\n",
      "Lee A. Jacobus   3.795   50\n",
      "\n",
      "George Eliot   3.795   770\n",
      "\n",
      "Henry Rollins   3.795   81\n",
      "\n",
      "Fred Chappell   3.795   86\n",
      "\n",
      "Diane Paterson   3.795   164\n",
      "\n",
      "Philippa Gregory   3.797   78\n",
      "\n",
      "Maryanne Blacker   3.8   70\n",
      "\n",
      "Charles Dickens   3.801   4479\n",
      "\n",
      "Frank Herbert   3.805   298\n",
      "\n",
      "Annie Proulx   3.805   73\n",
      "\n",
      "Victoria Holt   3.805   89\n",
      "\n",
      "Jeffery Deaver   3.81   243\n",
      "\n",
      "Anant Pai   3.81   732\n",
      "\n",
      "Sergio Pitol   3.81   103\n",
      "\n",
      "Howard Blum   3.81   21\n",
      "\n",
      "Patricia H. Rushford   3.81   59\n",
      "\n",
      "Thomas Hardy   3.812   1049\n",
      "\n",
      "Louis L'Amour   3.815   525\n",
      "\n",
      "Cornelia Otis Skinner   3.815   21\n",
      "\n",
      "Martha N. Beck   3.82   20\n",
      "\n",
      "Sigmund Brouwer   3.82   174\n",
      "\n",
      "Wilkie Collins   3.82   988\n",
      "\n",
      "Jack Kerouac   3.823   210\n",
      "\n",
      "Andrée Chedid   3.825   62\n",
      "\n",
      "Rudyard Kipling   3.825   2112\n",
      "\n",
      "Katherine Paterson   3.825   124\n",
      "\n",
      "Washington Irving   3.825   1944\n",
      "\n",
      "Mark Twain   3.827   3132\n",
      "\n",
      "Ivan Turgenev   3.83   861\n",
      "\n",
      "Virginia H. Ellison   3.83   4\n",
      "\n",
      "Cynthia Ozick   3.835   73\n",
      "\n",
      "Diana Palmer   3.835   662\n",
      "\n",
      "Ann Rinaldi   3.835   50\n",
      "\n",
      "Claude Lévi-Strauss   3.84   117\n",
      "\n",
      "James Patterson   3.844   647\n",
      "\n",
      "Unknown   3.845   143621\n",
      "\n",
      "Ed McBain   3.845   330\n",
      "\n",
      "Peter David   3.845   1991\n",
      "\n",
      "Marthe Le Van   3.85   45\n",
      "\n",
      "Megan McDonald   3.85   224\n",
      "\n",
      "Edgar Rice Burroughs   3.85   702\n",
      "\n",
      "Laura Childs   3.85   52\n",
      "\n",
      "Carolyn Keene   3.85   902\n",
      "\n",
      "Marcia Muller   3.85   172\n",
      "\n",
      "Robert Ludlum   3.855   195\n",
      "\n",
      "Elmore Leonard   3.86   144\n",
      "\n",
      "Marguerite Duras   3.86   178\n",
      "\n",
      "Louisa May Alcott   3.86   1069\n",
      "\n",
      "Harry Harrison   3.86   651\n",
      "\n",
      "R.C. Sproul   3.865   292\n",
      "\n",
      "Selma Lagerlöf   3.865   419\n",
      "\n",
      "Ngaio Marsh   3.865   105\n",
      "\n",
      "Gertrude Chandler Warner   3.865   348\n",
      "\n",
      "James Herbert   3.87   53\n",
      "\n",
      "Danielle Steel   3.87   230\n",
      "\n",
      "Dean Koontz   3.872   464\n",
      "\n",
      "Jude Deveraux   3.875   90\n",
      "\n",
      "Jonathan Kellerman   3.875   122\n",
      "\n",
      "Max Allan Collins   3.877   507\n",
      "\n",
      "Camilo José Cela   3.885   146\n",
      "\n",
      "Joe R. Lansdale   3.887   601\n",
      "\n",
      "David A. Adler   3.89   319\n",
      "\n",
      "Franklin W. Dixon   3.89   706\n",
      "\n",
      "John Piper   3.89   321\n",
      "\n",
      "Fatema Mernissi   3.89   34\n",
      "\n",
      "Ripley Entertainment Inc.   3.89   531\n",
      "\n",
      "John Keay   3.89   45\n",
      "\n",
      "José Saramago   3.893   182\n",
      "\n",
      "William Shakespeare   3.894   4918\n",
      "\n",
      "Carson McCullers   3.895   88\n",
      "\n",
      "Joanne Harris   3.895   70\n",
      "\n",
      "Robert Munsch   3.895   168\n",
      "\n",
      "Sophocles   3.895   481\n",
      "\n",
      "Amanda Quick   3.897   94\n",
      "\n",
      "Sue Henry   3.897   23\n",
      "\n",
      "Alice Munro   3.9   168\n",
      "\n",
      "Elizabeth Koda-Callan   3.9   15\n",
      "\n",
      "Astrid Lindgren   3.9   495\n",
      "\n",
      "Shiloh Walker   3.9   193\n",
      "\n",
      "Jessica Fletcher   3.9   60\n",
      "\n",
      "Andrew M. Greeley   3.9   217\n",
      "\n",
      "Insight Guides   3.9   1888\n",
      "\n",
      "Susanna Davidson   3.903   123\n",
      "\n",
      "Terry Brooks   3.905   172\n",
      "\n",
      "Dick Francis   3.907   264\n",
      "\n",
      "Noam Chomsky   3.91   597\n",
      "\n",
      "Theodore Sturgeon   3.91   531\n",
      "\n",
      "Ian Irvine   3.91   78\n",
      "\n",
      "Nicholas Sparks   3.91   107\n",
      "\n",
      "E.E. \"Doc\" Smith   3.91   148\n",
      "\n",
      "Lori Handeland   3.91   87\n",
      "\n",
      "Lloyd Alexander   3.913   71\n",
      "\n",
      "Kosuke Fujishima   3.915   329\n",
      "\n",
      "Howard Pyle   3.915   357\n",
      "\n",
      "Emily Rodda   3.915   159\n",
      "\n",
      "Rebecca West   3.915   81\n",
      "\n",
      "Clive Cussler   3.917   150\n",
      "\n",
      "Robert B. Parker   3.917   167\n",
      "\n",
      "Agatha Christie   3.918   2382\n",
      "\n",
      "David    Allen   3.92   44\n",
      "\n",
      "Andrew Harvey   3.92   124\n",
      "\n",
      "Honoré de Balzac   3.925   2286\n",
      "\n",
      "Stephen King   3.926   1556\n",
      "\n",
      "Roger Zelazny   3.93   520\n",
      "\n",
      "Robert A. Heinlein   3.93   528\n",
      "\n",
      "Jean Craighead George   3.93   137\n",
      "\n",
      "Robert D. San Souci   3.93   84\n",
      "\n",
      "Mack Reynolds   3.93   344\n",
      "\n",
      "René Goscinny   3.933   677\n",
      "\n",
      "Terry Pratchett   3.935   450\n",
      "\n",
      "Irvine Welsh   3.937   84\n",
      "\n",
      "Jackie Collins   3.94   111\n",
      "\n",
      "John Wesley   3.94   1079\n",
      "\n",
      "Jayne Ann Krentz   3.94   268\n",
      "\n",
      "Franz Kafka   3.941   1492\n",
      "\n",
      "Elizabeth Peters   3.942   78\n",
      "\n",
      "Tad Williams   3.942   198\n",
      "\n",
      "Max Brand   3.945   732\n",
      "\n",
      "Anthony Read   3.945   25\n",
      "\n",
      "Sherman Alexie   3.945   102\n",
      "\n",
      "V.C. Andrews   3.946   151\n",
      "\n",
      "George Bernard Shaw   3.95   558\n",
      "\n",
      "Jules Verne   3.95   1783\n",
      "\n",
      "Amy Tan   3.955   80\n",
      "\n",
      "The Diagram Group   3.955   265\n",
      "\n",
      "Adam Ward   3.955   43\n",
      "\n",
      "Peter Gay   3.955   65\n",
      "\n",
      "Aristotle   3.955   1322\n",
      "\n",
      "Mark Billingham   3.96   63\n",
      "\n",
      "Thomas Mann   3.96   640\n",
      "\n",
      "Grace Livingston Hill   3.96   222\n",
      "\n",
      "Masami Kurumada   3.96   506\n",
      "\n",
      "Michel Foucault   3.963   353\n",
      "\n",
      "Linda Lael Miller   3.965   266\n",
      "\n",
      "Roger Hargreaves   3.965   892\n",
      "\n",
      "Georgette Heyer   3.965   113\n",
      "\n",
      "Debra Webb   3.97   351\n",
      "\n",
      "Jorge Luis Borges   3.97   880\n",
      "\n",
      "Jack C. Richards   3.97   604\n",
      "\n",
      "Kathleen Duey   3.97   109\n",
      "\n",
      "Tom Clancy   3.975   273\n",
      "\n",
      "Walter Dean Myers   3.975   180\n",
      "\n",
      "John Buchan   3.975   817\n",
      "\n",
      "John Jakes   3.975   206\n",
      "\n",
      "Irene Hannon   3.975   79\n",
      "\n",
      "Enid Blyton   3.976   3005\n",
      "\n",
      "Ovid   3.977   685\n",
      "\n",
      "Vladimir Nabokov   3.98   388\n",
      "\n",
      "Marcel Reich-Ranicki   3.98   118\n",
      "\n",
      "L. Frank Baum   3.98   800\n",
      "\n",
      "C.G. Jung   3.982   608\n",
      "\n",
      "Ludwig Bemelmans   3.983   86\n",
      "\n",
      "Raymond Chandler   3.985   268\n",
      "\n",
      "Pablo Neruda   3.99   442\n",
      "\n",
      "Diana Butler Bass   3.99   19\n",
      "\n",
      "Mary Pope Osborne   3.99   404\n",
      "\n",
      "Debbie Macomber   3.99   552\n",
      "\n",
      "Jim Davis   3.99   1582\n",
      "\n",
      "Len Deighton   3.99   85\n",
      "\n",
      "Parke Godwin   3.99   274\n",
      "\n",
      "John Haywood   3.993   116\n",
      "\n",
      "Michael Morpurgo   3.995   339\n",
      "\n",
      "Luther Blissett   3.995   39\n",
      "\n",
      "Al Lacy   3.995   81\n",
      "\n",
      "Frederick Forsyth   3.995   174\n",
      "\n",
      "Friedrich Nietzsche   3.995   1180\n",
      "\n",
      "Edgar Allan Poe   4.0   3417\n",
      "\n",
      "Harold R. Isaacs   4.0   22\n",
      "\n",
      "Sahara Kelly   4.0   175\n",
      "\n",
      "Charles L. Allen   4.0   50\n",
      "\n",
      "Matteo Mancini   4.0   9\n",
      "\n",
      "Hal Leonard Publishing Company   4.0   4968\n",
      "\n",
      "Reader's Digest Association   4.004   2654\n",
      "\n",
      "Penny Vincenzi   4.005   46\n",
      "\n",
      "Barbara Cartland   4.005   782\n",
      "\n",
      "Rumi   4.01   634\n",
      "\n",
      "Julie Garwood   4.01   68\n",
      "\n",
      "Yayoi Ogawa   4.01   51\n",
      "\n",
      "Marion Zimmer Bradley   4.01   416\n",
      "\n",
      "Mircea Eliade   4.01   316\n",
      "\n",
      "Harlan Coben   4.013   116\n",
      "\n",
      "Erwin Raphael McManus   4.015   35\n",
      "\n",
      "Ray Bradbury   4.015   570\n",
      "\n",
      "Ellen Levine   4.015   55\n",
      "\n",
      "Miguel de Cervantes Saavedra   4.015   818\n",
      "\n",
      "Jane Yolen   4.017   793\n",
      "\n",
      "Hitoshi Okuda   4.02   31\n",
      "\n",
      "Gabriel García Márquez   4.02   462\n",
      "\n",
      "Arthur C. Clarke   4.022   924\n",
      "\n",
      "Roald Dahl   4.024   799\n",
      "\n",
      "Robert B. Cialdini   4.025   33\n",
      "\n",
      "Michel Butor   4.025   137\n",
      "\n",
      "Jane Austen   4.025   1766\n",
      "\n",
      "Cate Tiernan   4.025   41\n",
      "\n",
      "Margaret Peterson Haddix   4.025   80\n",
      "\n",
      "Italo Calvino   4.03   325\n",
      "\n",
      "Peter Gabriel   4.03   20\n",
      "\n",
      "Plato   4.033   1342\n",
      "\n",
      "George A. Kennedy   4.035   21\n",
      "\n",
      "Bob Sehlinger   4.04   144\n",
      "\n",
      "James C. Dobson   4.04   217\n",
      "\n",
      "Gabrielle Charbonnet   4.04   40\n",
      "\n",
      "Lori Copeland   4.04   144\n",
      "\n",
      "Joanne Mattern   4.045   730\n",
      "\n",
      "Ian Gibson   4.045   64\n",
      "\n",
      "Anne McCaffrey   4.047   353\n",
      "\n",
      "Hermann Hesse   4.048   752\n",
      "\n",
      "Lewis Carroll   4.05   1070\n",
      "\n",
      "Margaret Frazer   4.05   50\n",
      "\n",
      "Nizami Ganjavi   4.05   75\n",
      "\n",
      "Bill Bryson   4.05   60\n",
      "\n",
      "Boris Akunin   4.05   147\n",
      "\n",
      "Tom Tierney   4.05   281\n",
      "\n",
      "Aaron Posner   4.05   7\n",
      "\n",
      "Robert Graves   4.055   287\n",
      "\n",
      "Neil Gaiman   4.055   1308\n",
      "\n",
      "Chris d'Lacey   4.055   52\n",
      "\n",
      "Niccolò Machiavelli   4.055   362\n",
      "\n",
      "Joan Aiken   4.055   261\n",
      "\n",
      "Margaret Coel   4.055   51\n",
      "\n",
      "Alan Moore   4.058   876\n",
      "\n",
      "Steven Pinker   4.06   43\n",
      "\n",
      "Robert Louis Stevenson   4.06   2733\n",
      "\n",
      "Albert Brian Bosworth   4.06   9\n",
      "\n",
      "C.S. Lewis   4.063   611\n",
      "\n",
      "Alexandre Dumas   4.067   2572\n",
      "\n",
      "Stephen R. Lawhead   4.067   87\n",
      "\n",
      "Bertrice Small   4.07   85\n",
      "\n",
      "MaryJanice Davidson   4.07   129\n",
      "\n",
      "Adam Blade   4.07   437\n",
      "\n",
      "Temple Grandin   4.07   89\n",
      "\n",
      "Rumiko Takahashi   4.07   1030\n",
      "\n",
      "Harlan Ellison   4.073   707\n",
      "\n",
      "Langston Hughes   4.075   253\n",
      "\n",
      "J. Patrick Lewis   4.075   117\n",
      "\n",
      "Heather Amery   4.075   352\n",
      "\n",
      "Harold Bloom   4.077   1238\n",
      "\n",
      "Julio Cortázar   4.08   451\n",
      "\n",
      "Betty Neels   4.08   370\n",
      "\n",
      "Eknath Easwaran   4.08   92\n",
      "\n",
      "J.M. Barrie   4.08   587\n",
      "\n",
      "Isaac Asimov   4.082   2742\n",
      "\n",
      "Dan Simmons   4.085   202\n",
      "\n",
      "Trace Moroney   4.09   127\n",
      "\n",
      "Brenda Jackson   4.09   507\n",
      "\n",
      "Adam McLeod   4.09   20\n",
      "\n",
      "George C. Chesbro   4.09   41\n",
      "\n",
      "Melba Pattillo Beals   4.09   5\n",
      "\n",
      "Carlos Castaneda   4.1   79\n",
      "\n",
      "Keiichi Sigsawa   4.105   80\n",
      "\n",
      "Brian Wildsmith   4.105   124\n",
      "\n",
      "Ruth Ryan Langan   4.11   138\n",
      "\n",
      "Madeleine L'Engle   4.11   134\n",
      "\n",
      "Norman Cousins   4.11   53\n",
      "\n",
      "Peter Robinson   4.11   149\n",
      "\n",
      "Matt Christopher   4.115   285\n",
      "\n",
      "P.C. Cast   4.115   103\n",
      "\n",
      "Bertolt Brecht   4.115   718\n",
      "\n",
      "Bathroom Readers' Institute   4.115   217\n",
      "\n",
      "Eric Kraft   4.12   33\n",
      "\n",
      "E.F. Benson   4.12   512\n",
      "\n",
      "Dorothy L. Sayers   4.12   334\n",
      "\n",
      "L.M. Montgomery   4.125   728\n",
      "\n",
      "Martin Heidegger   4.13   333\n",
      "\n",
      "John Sandford   4.133   85\n",
      "\n",
      "Hans Christian Andersen   4.133   2203\n",
      "\n",
      "Jack Canfield   4.135   1008\n",
      "\n",
      "Simone de Beauvoir   4.135   176\n",
      "\n",
      "Billy Graham   4.14   272\n",
      "\n",
      "P.G. Wodehouse   4.143   835\n",
      "\n",
      "Christine Feehan   4.145   140\n",
      "\n",
      "Anne Golon   4.145   148\n",
      "\n",
      "Jack Du Brul   4.145   25\n",
      "\n",
      "Janette Oke   4.155   152\n",
      "\n",
      "Nora Roberts   4.159   809\n",
      "\n",
      "Arthur Conan Doyle   4.16   4889\n",
      "\n",
      "Martin Esslin   4.16   33\n",
      "\n",
      "Stan Lee   4.16   2853\n",
      "\n",
      "Napoleon Hill   4.16   534\n",
      "\n",
      "Richard Henderson   4.165   31\n",
      "\n",
      "Edwin P. Hoyt   4.165   145\n",
      "\n",
      "Jim Butcher   4.165   165\n",
      "\n",
      "James Boyd White   4.165   20\n",
      "\n",
      "Yōko Kamio   4.167   214\n",
      "\n",
      "Charles Darwin   4.17   521\n",
      "\n",
      "Stefan Zweig   4.173   736\n",
      "\n",
      "James Joyce   4.173   791\n",
      "\n",
      "Margaret Wise Brown   4.175   257\n",
      "\n",
      "Frederick Douglass   4.175   344\n",
      "\n",
      "Mahmoud Darwish   4.18   152\n",
      "\n",
      "Jack Schaefer   4.18   34\n",
      "\n",
      "Jorge Ibargüengoitia   4.18   49\n",
      "\n",
      "Doreen Virtue   4.19   319\n",
      "\n",
      "Charlotte Brontë   4.193   974\n",
      "\n",
      "T.S. Eliot   4.195   374\n",
      "\n",
      "Charles Bukowski   4.195   404\n",
      "\n",
      "Dalai Lama XIV   4.197   734\n",
      "\n",
      "Mikhail Lermontov   4.197   214\n",
      "\n",
      "Geza Szurovy   4.2   18\n",
      "\n",
      "Albert Einstein   4.2   373\n",
      "\n",
      "R.A. Torrey   4.2   177\n",
      "\n",
      "Diana Wynne Jones   4.2   117\n",
      "\n",
      "Carl Sagan   4.205   81\n",
      "\n",
      "Christina Skye   4.21   56\n",
      "\n",
      "Charles M. Schulz   4.212   1790\n",
      "\n",
      "Eric Carle   4.212   426\n",
      "\n",
      "Laura Ingalls Wilder   4.213   178\n",
      "\n",
      "William R. Newman   4.215   12\n",
      "\n",
      "Maia Wojciechowska   4.22   16\n",
      "\n",
      "David Gemmell   4.225   98\n",
      "\n",
      "Not For Tourists   4.225   118\n",
      "\n",
      "John Fante   4.225   41\n",
      "\n",
      "Spencer Johnson   4.23   87\n",
      "\n",
      "Alexander Afanasyev   4.23   79\n",
      "\n",
      "Mario Vargas Llosa   4.23   254\n",
      "\n",
      "Lois McMaster Bujold   4.24   122\n",
      "\n",
      "Rex Stout   4.24   290\n",
      "\n",
      "Richmal Crompton   4.245   181\n",
      "\n",
      "Arnold Lobel   4.245   183\n",
      "\n",
      "Richard Scarry   4.245   686\n",
      "\n",
      "Roger Priddy   4.25   1838\n",
      "\n",
      "João Cabral de Melo Neto   4.25   42\n",
      "\n",
      "William W. Johnstone   4.25   443\n",
      "\n",
      "Paulo Freire   4.26   80\n",
      "\n",
      "Victor Hugo   4.265   1951\n",
      "\n",
      "Fyodor Dostoyevsky   4.268   1445\n",
      "\n",
      "Joseph Murphy   4.27   310\n",
      "\n",
      "Mark Davies   4.275   77\n",
      "\n",
      "CLAMP   4.275   682\n",
      "\n",
      "Stan Berenstain   4.277   529\n",
      "\n",
      "Margaret Mitchell   4.29   94\n",
      "\n",
      "Michael Connelly   4.29   260\n",
      "\n",
      "Angela Elwell Hunt   4.295   198\n",
      "\n",
      "Ann Charters   4.305   26\n",
      "\n",
      "Stanisław Lem   4.305   336\n",
      "\n",
      "Henri J.M. Nouwen   4.31   190\n",
      "\n",
      "Cassie Edwards   4.315   121\n",
      "\n",
      "Alan W. Watts   4.32   198\n",
      "\n",
      "Kimberla Lawson Roby   4.32   29\n",
      "\n",
      "John Ettling   4.33   1\n",
      "\n",
      "Ahmad H. Sakr   4.335   35\n",
      "\n",
      "Jim Razzi   4.335   100\n",
      "\n",
      "Charles Baudelaire   4.338   839\n",
      "\n",
      "Max Lucado   4.34   990\n",
      "\n",
      "Stephen Bly   4.343   118\n",
      "\n",
      "Tite Kubo   4.345   286\n",
      "\n",
      "Kevin J. Vanhoozer   4.365   42\n",
      "\n",
      "Patrick O'Brian   4.375   114\n",
      "\n",
      "Jeannie St. John Taylor   4.375   23\n",
      "\n",
      "Anne E. Neuberger   4.385   23\n",
      "\n",
      "Eugene H. Peterson   4.39   325\n",
      "\n",
      "Beatrix Potter   4.397   1646\n",
      "\n",
      "Yoshihiro Togashi   4.4   206\n",
      "\n",
      "Richard P. Feynman   4.405   129\n",
      "\n",
      "Robert McAfee Brown   4.415   37\n",
      "\n",
      "Oxford University Press   4.417   1477\n",
      "\n",
      "Michel Serres   4.42   91\n",
      "\n",
      "Rainer Maria Rilke   4.425   761\n",
      "\n",
      "John Stuart Mill   4.425   383\n",
      "\n",
      "Anonymous   4.429   172449\n",
      "\n",
      "Betty Crocker   4.43   432\n",
      "\n",
      "Philip Schaff   4.435   672\n",
      "\n",
      "Arina Tanemura   4.435   189\n",
      "\n",
      "Rabindranath Tagore   4.437   1088\n",
      "\n",
      "J.R.R. Tolkien   4.438   486\n",
      "\n",
      "Rosanne Bittner   4.445   76\n",
      "\n",
      "Eiichiro Oda   4.45   543\n",
      "\n"
     ]
    }
   ],
   "source": [
    "fl=open('authorRatingWork.txt','r')\n",
    "for lines in fl.readlines():\n",
    "    print(lines)\n",
    "fl.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/pioneermaster/anaconda3/lib/python3.7/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n",
      "  return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x1a25156f98>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 2880x2160 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "xaxis=[]\n",
    "yaxis=[]\n",
    "fl=open('authorRatingWork.txt','r')\n",
    "for lines in fl.readlines():\n",
    "    templist=lines.split()\n",
    "    if int(templist[len(templist)-1])<20000:\n",
    "        xaxis.append(float(templist[len(templist)-2]))\n",
    "        yaxis.append(float(templist[len(templist)-1]))\n",
    "'''\n",
    "plt.bar(xaxis,yaxis,width=0.05)\n",
    "#xticks(np.arange(0,5, step = 1)) \n",
    "plt.title(\"author rating versus works count\",fontsize=16)\n",
    "plt.xlabel(\"author rating\",fontsize=10)\n",
    "plt.ylabel(\"number of books written\",fontsize=10)\n",
    "plt.show()\n",
    "'''\n",
    "plt.figure(figsize=(40,30))\n",
    "sns.set(style=\"whitegrid\")\n",
    "ls=sns.jointplot(x=xaxis,y=yaxis,kind=\"reg\")\n",
    "ls.set_axis_labels(\"Author ratings\",\"Books Written\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['National', 'Research', 'Council', '2.5', '6295']\n",
      "['Walt', 'Disney', 'Company', '3.69', '16766']\n"
     ]
    }
   ],
   "source": [
    "data={}\n",
    "fl=open('authorRatingWork.txt','r')\n",
    "for lines in fl.readlines():\n",
    "    templist=lines.split()\n",
    "    if (float(templist[len(templist)-2])<4.0 and float(templist[len(templist)-1])>5000 and float(templist[len(templist)-1])<20000):\n",
    "        print(templist)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lion King Read Along With Book\n",
      "Mealtime Fun!: Mickey Mouse (Mouseworks Nifty Gifty Book Set)\n",
      "Peter Pan and Wendy (Disney's Wonderful World of Reading)\n",
      "La Sirenita: Busca y Encuentra (Look and Find)\n",
      "4\n"
     ]
    }
   ],
   "source": [
    "import csv\n",
    "with open('datav3.csv','r',encoding=\"utf-8\") as f:\n",
    "    reader = csv.reader(f)\n",
    "    fieldnames = next(reader)\n",
    "    # print(fieldnames)\n",
    "    csv_reader = csv.DictReader(f,fieldnames=fieldnames)\n",
    "    cntAuthor={}\n",
    "    authoridx={}\n",
    "    anthortotalrating={}\n",
    "    cnt=0\n",
    "    for row in csv_reader:\n",
    "        d={}\n",
    "        for k,v in row.items():\n",
    "            d[k]=v\n",
    "        if 'Disney' in d['author']:\n",
    "            print(d['title'])\n",
    "            cnt+=1\n",
    "print(cnt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Sydelle', 'Kramer', '2.0', '50']\n",
      "['Richard K. Nongard', 'Charles Haddon Spurgeon', 'Hafez', 'Dorothy Dunnett', 'William Wordsworth', 'Ivo Andrić', 'Vicki Lansky', 'Plutarch', 'Margaret Storey', 'William Blake']\n",
      "[19, 2453, 151, 32, 503, 181, 62, 1419, 28, 481]\n",
      "[5.0, 4.76, 4.63, 4.545, 4.545, 4.523, 4.52, 4.5, 4.5, 4.495]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fl=open('authorRatingWork.txt','r')\n",
    "lines=fl.readlines()\n",
    "xx=[]\n",
    "yy=[]\n",
    "zz=[]\n",
    "print(lines[0].split())\n",
    "a=lines[0].split()\n",
    "for i in range(1,11):\n",
    "    ll=lines[len(lines)-i].split()\n",
    "    aut=''\n",
    "    for j in ll[0:len(ll)-2]:\n",
    "        aut+=j\n",
    "        aut+=' '\n",
    "    xx.append(aut.rstrip())\n",
    "    yy.append(int(ll[len(ll)-1]))\n",
    "    zz.append(float(ll[len(ll)-2]))\n",
    "print(xx)\n",
    "print(yy)\n",
    "print(zz)\n",
    "plt.figure(figsize=(20,15))\n",
    "sns.set(font_scale=1.5)\n",
    "ls=sns.barplot(yy,xx,palette='rocket')\n",
    "ls.set_xlabel(\"Books Written\",fontsize=30)\n",
    "ls.set_ylabel(\"Author Name\",fontsize=30)\n",
    "ls.set_title(\"Top ten rated author books count\",fontsize=50)\n",
    "for i in ls.patches:\n",
    "        ls.text(i.get_width()+2, i.get_y()+0.5,str(round(i.get_width())), fontsize=10,color='black')\n",
    "        ls.text(i.get_width()+2, i.get_y()+0.5,str(round(i.get_width())), fontsize=10,color='black')\n",
    "fl.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(font_scale=1.5)\n",
    "plt.figure(figsize=(20,15))\n",
    "xs=sns.barplot(zz,xx,palette='rocket')\n",
    "xs.set_xlabel(\"average rating\",fontsize=30)\n",
    "xs.set_ylabel(\"Author Name\",fontsize=30)\n",
    "xs.set_title(\"Top ten rated author average ratings\",fontsize=50)\n",
    "for i in xs.patches:\n",
    "        xs.text(i.get_width()+0.1, i.get_y()+0.5,str(i.get_width()), fontsize=10,color='black')\n",
    "        xs.text(i.get_width()+0.1, i.get_y()+0.5,str(i.get_width()), fontsize=10,color='black')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}