查找兩個數據幀之間的字符串匹配

Question

我有一個DataFrame如下。

DF1：

   A
Any Match
Credit
I need a debit card.
Logging
Awesome

我有另一個DataFrame，如下所示：

DF2：

          B
I did not find any match.
I want a credit card.
I need a debit card.
I do not know.
I am logging into credit portal.

我需要我的輸出為：

              B                           A
     I did not find any match.        Any Match
     I want a credit card.            Credit
     I need a debit card.             I need a debit card.
     I am logging into credit portal. logging,credit

在此，如果DF1中存在的短語在DF2中存在的任何文本中。 將o / p打印為文本和重要短語。

Answer 1

嘗試Fuzzywuzzy ：

import pandas as pd
from fuzzywuzzy import fuzz

matched_entities = []

for row in df1.index:
    name1 = vendor_df.get_value(row,"A")
    for columns in df2.index:
        name2=df2.get_value(columns,"B")
        matched_token=fuzz.partial_ratio(name1,name2)
        if matched_token> 80:
            matched_vendors.append([A,B])

df_partial_ratio = pd.DataFrame(columns=['A', 'B'], data=matched_entities)

在數據庫中，如果fuzz.partial_ratio不起作用，請嘗試fuzz.ratio或fuzz.token_sort_ratio 。 可以通過將以下代碼中的一行更改為以下代碼來實現這兩項：

matched_token=fuzz.ratio(name1,name2)

要么

matched_token=fuzz.token_sort_ratio(name1,name2)

Answer 2

你可以做這樣的事情。 首先，定義一個與“規范化”文本匹配的查找函數，例如小寫：

def lookup(x, values):
    for value in values:
        if value.lower() in x.lower():
            return value

然后將此功能應用於DF2：

dfB['A'] = dfB['B'].apply(lambda x: lookup(x, dfA['A']))

哪個應該給你：

    B                           A
0   I did not find any match.   Any Match
1   I want a credit card.       Credit
2   I need a debit card.        Debit
3   I do not know.              None

Answer 3

嘗試這個

df1['B'] = float('nan')

pos = 0
for i in range(len(df1)):
    for j in range(len(df2)):
        if df1['A'][i].lower() in df2['B'][j].lower():
            df1['B'].iloc[pos] = df2['B'][j]
            pos+=1
            break

df1.dropna(axis=0)

輸出

                     A                          B
0            Any Match  I did not find any match.
1               Credit      I want a credit card.
2  I need a debit card       I need a debit card.