如何显示与输入匹配的同一行的值?

How to display the value that in the same row which matched with the input?

数据有 2 列,即 titlegenre。所以我试图给与用户输入类型匹配的行的 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 
...

流派:

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

一个提案仅基于 Pandas

我会建议这样的事情(请根据您的意愿适应您的情况,这只是一些一般的指导方针和提示,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。
我让你玩这个。



有用的链接

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