如何显示与输入匹配的同一行中的值？

Question

数据有 2 列，分别为 title 和 genre。所以我试图给与用户输入流派匹配的行的title 值。

这是我的尝试：

#CSV READ & GENRE-TITLE
data = pd.read_csv("data.csv")
df_title = data["title"]
df_genre = data["genre"]

#TOKENIZE
tokenized_genre = [word_tokenize(i) for i in df_genre]
tokenized_title = [word_tokenize(i) for i in df_title]

#INPUT-DATA MATCH
search = {e.lower() for l in tokenized_genre  for e in l}
choice = input('Please enter a word = ')

while choice != "exit":
    if choice.lower() in search:
        print(data.loc[data.genre == {choice}, 'title'])
    else:
        print("The movie of the genre doesn't exist")
    choice = input("Please enter a word = ")

但结果是：Series([], Name: title, dtype: object)

我该如何解决？

编辑： 标题的数据样本

0                              The Story of the Kelly Gang
1                                           Den sorte drøm
2                                                Cleopatra
3                                                L'Inferno
4        From the Manger to the Cross; or, Jesus of 
...

对于流派：

0          Biography, Crime, Drama
1                            Drama
2                   Drama, History
3        Adventure, Drama, Fantasy
4                 Biography, Drama
...

Answer 1

仅基于Pandas 的一个提案

我会建议这样的事情（请根据您的意愿调整您的情况，这只是一些一般性的指导方针和提示，您可以从哪里开始）：

import pandas as pd

# Warning: there are coma and semi-column in some of the films titles,
# so I had to use an other separator when exporting data to CSV, 
# here I decided to chose the vertical bar '|' as you can see)

#CSV READ & GENRE-TITLE
data = pd.read_csv("data.csv", sep="|")

choice = input('Please enter a word = ')

while choice != "exit":
    choice = choice.lower()
    for index, row in data.iterrows():
        if choice in row['genre'].lower():
            print(row['title'])
        else:
            print(("The movie of the genre {} doesn't exist").format(choice))
    choice = input("Please enter a word = ")

编辑

生成随机数：

from random import randint
i = randint(0, len(data))

然后，使用 i 作为索引在您的 DataFrame 中进行搜索。
我让你玩弄这个。

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有用的链接

Does Python have a string 'contains' substring method?
How to iterate over rows in a DataFrame in Pandas?