Question

我试图编写一个脚本，从两个.csv文件中接收两个字典列表作为输入，检查键匹配，并给出另一个字典列表以及两个列表的输出。到目前为止我有这个：

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{"created_at":"Sun Apr 24 05:37:03 +0000 2016","id":724109879200366592,"id_str":"724109879200366592","text":"regrann from @ufc  -  #AndStill UFC flyweight champ @MightyMouseUFC! #UFC197\n\nPresented by\u2026 https:\/\/t.co\/zbE5CsFxMJ","source":"\u003ca href=\"http:\/\/instagram.com\" rel=\"nofollow\"\u003eInstagram\u003c\/a\u003e","truncated":false,"in_reply_to_status_id":null,"in_reply_to_status_id_str":null,"in_reply_to_user_id":null,"in_reply_to_user_id_str":null,"in_reply_to_screen_name":null,"user":{"id":1070221260,"id_str":"1070221260","name":"Will Manuel","screen_name":"TheWillManuel","location":"Kenai, AK","url":null,"description":"Alaskan. Paramedic. Firefighter. Industrial Security. Libertarian. 2nd Amendment. Liberty. BJJ & Muay Thai novice. #TeamRed #RedemptionMMA #BJJ #MuayThai #MMA","protected":false,"verified":false,"followers_count":437,"friends_count":573,"listed_count":32,"favourites_count":2516,"statuses_count":3184,"created_at":"Tue Jan 08 07:22:47 +0000 2013","utc_offset":-28800,"time_zone":"Alaska","geo_enabled":false,"lang":"en","contributors_enabled":false,"is_translator":false,"profile_background_color":"C0DEED","profile_background_image_url":"http:\/\/pbs.twimg.com\/profile_background_images\/579042288040435713\/VeA-zI45.jpeg","profile_background_image_url_https":"https:\/\/pbs.twimg.com\/profile_background_images\/579042288040435713\/VeA-zI45.jpeg","profile_background_tile":true,"profile_link_color":"4A913C","profile_sidebar_border_color":"FFFFFF","profile_sidebar_fill_color":"DDEEF6","profile_text_color":"333333","profile_use_background_image":true,"profile_image_url":"http:\/\/pbs.twimg.com\/profile_images\/715188796615237632\/JvxeLz8D_normal.jpg","profile_image_url_https":"https:\/\/pbs.twimg.com\/profile_images\/715188796615237632\/JvxeLz8D_normal.jpg","profile_banner_url":"https:\/\/pbs.twimg.com\/profile_banners\/1070221260\/1447179132","default_profile":false,"default_profile_image":false,"following":null,"follow_request_sent":null,"notifications":null},"geo":null,"coordinates":null,"place":null,"contributors":null,"is_quote_status":false,"retweet_count":0,"favorite_count":0,"entities":{"hashtags":[{"text":"AndStill","indices":[22,31]},{"text":"UFC197","indices":[69,76]}],"urls":[{"url":"https:\/\/t.co\/zbE5CsFxMJ","expanded_url":"https:\/\/www.instagram.com\/p\/BEkk6a0QMeX\/","display_url":"instagram.com\/p\/BEkk6a0QMeX\/","indices":[92,115]}],"user_mentions":[{"screen_name":"ufc","name":"#UFC197","id":6446742,"id_str":"6446742","indices":[13,17]},{"screen_name":"MightyMouseUFC","name":"Demetrious Johnson","id":140845817,"id_str":"140845817","indices":[52,67]}],"symbols":[]},"favorited":false,"retweeted":false,"possibly_sensitive":false,"filter_level":"low","lang":"en","timestamp_ms":"1461476223169"}

{"created_at":"Sun Apr 24 05:37:03 +0000 2016","id":724109882341896192,"id_str":"724109882341896192","text":"RT @BESTFlGHTS: Jon Jones flips off Daniel Cormier at #UFC197 https:\/\/t.co\/S0pDvRWhfW","source":"\u003ca href=\"http:\/\/twitter.com\/download\/iphone\" rel=\"nofollow\"\u003eTwitter for iPhone\u003c\/a\u003e","truncated":false,"in_reply_to_status_id":null,"in_reply_to_status_id_str":null,"in_reply_to_user_id":null,"in_reply_to_user_id_str":null,"in_reply_to_screen_name":null,"user":{"id":1019191860,"id_str":"1019191860","name":"Paul","screen_name":"Paulie_Frat","location":"Mount Pocono, PA","url":null,"description":"...","protected":false,"verified":false,"followers_count":272,"friends_count":259,"listed_count":0,"favourites_count":1580,"statuses_count":1622,"created_at":"Tue Dec 18 07:10:12 +0000 2012","utc_offset":-14400,"time_zone":"Eastern Time (US & Canada)","geo_enabled":true,"lang":"en","contributors_enabled":false,"is_translator":false,"profile_background_color":"131516","profile_background_image_url":"http:\/\/abs.twimg.com\/images\/themes\/theme14\/bg.gif","profile_background_image_url_https":"https:\/\/abs.twimg.com\/images\/themes\/theme14\/bg.gif","profile_background_tile":true,"profile_link_color":"009999","profile_sidebar_border_color":"EEEEEE","profile_sidebar_fill_color":"EFEFEF","profile_text_color":"333333","profile_use_background_image":true,"profile_image_url":"http:\/\/pbs.twimg.com\/profile_images\/512140999444164608\/4H2fiOtg_normal.jpeg","profile_image_url_https":"https:\/\/pbs.twimg.com\/profile_images\/512140999444164608\/4H2fiOtg_normal.jpeg","profile_banner_url":"https:\/\/pbs.twimg.com\/profile_banners\/1019191860\/1461422809","default_profile":false,"default_profile_image":false,"following":null,"follow_request_sent":null,"notifications":null},"geo":null,"coordinates":null,"place":null,"contributors":null,"retweeted_status":{"created_at":"Sun Apr 24 05:12:13 +0000 2016","id":724103630702432256,"id_str":"724103630702432256","text":"Jon Jones flips off Daniel Cormier at #UFC197 https:\/\/t.co\/S0pDvRWhfW","source":"\u003ca href=\"http:\/\/bufferapp.com\" rel=\"nofollow\"\u003eBuffer\u003c\/a\u003e","truncated":false,"in_reply_to_status_id":null,"in_reply_to_status_id_str":null,"in_reply_to_user_id":null,"in_reply_to_user_id_str":null,"in_reply_to_screen_name":null,"user":{"id":1370712786,"id_str":"1370712786","name":"BEST FIGHTS","screen_name":"BESTFlGHTS","location":"MMA, Boxing, Street Fights","url":"http:\/\/snapchat.com\/add\/wshhfans","description":"Parody, we do not own the content posted           DM's are open send me your fight","protected":false,"verified":false,"followers_count":156257,"friends_count":17861,"listed_count":83,"favourites_count":1,"statuses_count":6723,"created_at":"Sun Apr 21 22:43:19 +0000 2013","utc_offset":-25200,"time_zone":"Arizona","geo_enabled":false,"lang":"en","contributors_enabled":false,"is_translator":false,"profile_background_color":"131516","profile_background_image_url":"http:\/\/abs.twimg.com\/images\/themes\/theme14\/bg.gif","profile_background_image_url_https":"https:\/\/abs.twimg.com\/images\/themes\/theme14\/bg.gif","profile_background_tile":true,"profile_link_color":"ABB8C2","profile_sidebar_border_color":"FFFFFF","profile_sidebar_fill_color":"EFEFEF","profile_text_color":"333333","profile_use_background_image":true,"profile_image_url":"http:\/\/pbs.twimg.com\/profile_images\/620356388833734657\/NvmkmGDk_normal.jpg","profile_image_url_https":"https:\/\/pbs.twimg.com\/profile_images\/620356388833734657\/NvmkmGDk_normal.jpg","profile_banner_url":"https:\/\/pbs.twimg.com\/profile_banners\/1370712786\/1460756748","default_profile":false,"default_profile_image":false,"following":null,"follow_request_sent":null,"notifications":null},"geo":null,"coordinates":null,"place":null,"contributors":null,"is_quote_status":false,"retweet_count":740,"favorite_count":624,"entities":{"hashtags":[{"text":"UFC197","indices":[38,45]}],"urls":[{"url":"https:\/\/t.co\/S0pDvRWhfW","expanded_url":"http:\/\/vine.co\/v\/iU5T53X6U7J","display_url":"vine.co\/v\/iU5T53X6U7J","indices":[46,69]}],"user_mentions":[],"symbols":[]},"favorited":false,"retweeted":false,"possibly_sensitive":false,"filter_level":"low","lang":"en"},"is_quote_status":false,"retweet_count":0,"favorite_count":0,"entities":{"hashtags":[{"text":"UFC197","indices":[54,61]}],"urls":[{"url":"https:\/\/t.co\/S0pDvRWhfW","expanded_url":"http:\/\/vine.co\/v\/iU5T53X6U7J","display_url":"vine.co\/v\/iU5T53X6U7J","indices":[62,85]}],"user_mentions":[{"screen_name":"BESTFlGHTS","name":"BEST FIGHTS","id":1370712786,"id_str":"1370712786","indices":[3,14]}],"symbols":[]},"favorited":false,"retweeted":false,"possibly_sensitive":false,"filter_level":"low","lang":"en","timestamp_ms":"1461476223918"}

我需要制作第三个函数输出，一个新的dicts列表，其中包含所有者动物的平均年龄，输出是这样的：

import csv

def tabel_animals_func(file_csv):

 with open(ficheiro_csv, 'rU') as file_csv_animals:
    inputFile = csv.DictReader(file_csv_animals, delimiter=';')

    result_animals = []
    for line in inputFile:
        result_animals.append(line)
 return result_animals

def tabel_owners_func(file_csv2):

 with open(file_csv2, 'rU') as file_csv_owners:
    reader = csv.DictReader(file_csv_owners, delimiter=';')
    result_owners = []
    for line in reader:
        result_owners.append(line)
 return result_owners

def average_Age(tabela_animais, tabela_donos):

  var_owners = tabel_owners_func(tabel_owners)
  var_animals = tabel_animals_func(tabel_animals)

这是tabel_animals_func：

的输入.csv文件示例

  [{'Owners Name' : 'Jack', 'Average age' : '5'}, {'Owners Name' : 'Tom', 'Average age' : '8'}]

tabel_owners_func输入文件：

  Name of the animal;Species;Age
  Kiko;Cat;8
  Rocky;Turtle;57
  Snoopy;Dog;12
  Nemo;Fish;2
  Leonardo;Turtle;45
  Milo;Dog;9
  Raphael;Turtle;57
  Dory;Fish;4

Answer 1

首先，我建议您合并两个CSV读取功能。如果退后一步，你会发现那些功能真的只是做同样的事情。将它们组合成read_csv_contents函数或其他东西。

您应该将动物读者返回的词典列表转换为以动物名称为关键词的词典：

var_animals = tabel_animals_func(tabel_animals)
animals = {data['Name of animal']:data for data in var_animals}

一旦你拥有了它，你就可以找到每个所有者拥有的动物列表：

pets = {}
for owner in var_owners:
    o_name = owner['Owners Name']

    if o_name not in pets:
        pets[o_name] = []

    pets[o_name].append(animals['Name of animal'])

有了每个人的宠物清单，你应该很容易进行数学运算：

for owner,pet_list in pets.items():
    npets = len(pet_list)
    avg_age = sum([pet['Age'] for pet in pet_list]) / npets

Answer 2

Austin's answer csv文件单独阅读器中的建议我将其替换为一个函数并将其命名为read_csv。 average_age函数做了很多工作。如果有某个地方你不明白，请告诉我解释。

我认为这是你的解决方案（我不擅长英语，所以我没有深入解释）;

import csv

def read_csv(filename):
    with open(filename, 'r') as file:
        input_file = csv.DictReader(file, delimiter=";")

        results = []
        for line in input_file:
            results.append(line)

    return results

def get_age(animal_name): 
    # the function calculate the age of given animal
    for a in animal_age:
        if a['Name of the animal'] == animal_name:
            return int(a['Age'])

def average_age(owners_animal):
    # the function return a list which contain all owners and its animals' average age
    results = []
    owners_list = []
    animal_list = []
    for o in owners_animal:
        if o['Owners Name'] not in owners_list:
            owners_list.append(o['Owners Name'])
            result = {'Owners Name': o['Owners Name'], 'Ages': []}
            age = get_age(o['Name of the animal']) or 0
            result['Ages'].append(age)

            results.append(result)
        else:
            for r in results:
                if r['Owners Name'] == o['Owners Name']:
                    r['Ages'].append(get_age(o['Name of the animal']))

    results = [{'Owners Name': obj.get('Owners Name'), 'Average age': int(sum(obj['Ages'])/len(obj['Ages']))} for obj in results]
    print(results)



owners_animal = read_csv("tabel_owners.csv") # the owner table
animal_age = read_csv("tabel_animals.csv") # the animal table

average_age(owners_animal)

Ana的动物存在误判，Michelangelo没有显示在Age表中。

迭代字典列表

2 个答案: