while循環(huán)不斷重新檢查Pandas數(shù)據(jù)幀中的更改

我有兩個(gè)相同的數(shù)據(jù)幀new和old。new數(shù)據(jù)幀將在一天中隨機(jī)更新。下面的代碼檢查是否有任何更改。

import pandas as pd
import numpy as np

new = {'name': ['Sheldon', 'Penny', 'Amy', 'Bernadette', 'Raj', 'Howard'],
                'episodes': [42, 24, 31, 29, 37, 40],
                'gender': ['male', 'female', 'female', 'female', 'male', 'male']}
old = {'name': ['Sheldon', 'Penny', 'Amy', 'Bernadette', 'Raj', 'Howard'],
                'episodes': [12, 32, 31, 32, 37, 40],
                'gender': ['male', 'female', 'female', 'female', 'male', 'male']}    

df1 = pd.DataFrame(new, columns = ['name','episodes', 'gender'])    
df = pd.DataFrame(old, columns = ['name','episodes', 'gender'])

while True:
    df1 = pd.DataFrame(new, columns = ['name','episodes', 'gender'])    
    print(df[~df.episodes.eq(df1.episodes)])
    df1 = df

我需要在while循環(huán)中寫入條件，其中df[~df.episodes.eq(df1.episodes)]僅在檢測(cè)到更改時(shí)才打印。打印新數(shù)據(jù)后，它會(huì)將兩個(gè)數(shù)據(jù)框設(shè)置為相同的值（因?yàn)椴辉傩枰f數(shù)據(jù)），并重新檢查更改。上述代碼將打?。?/p>

Columns: [name, episodes, gender]
Index: []
Empty DataFrame
Columns: [name, episodes, gender]
Index: []
Empty DataFrame
Columns: [name, episodes, gender]
Index: []
Empty DataFrame

因此，如果實(shí)際打印了更改，則可能會(huì)遺漏。你能建議一種更有效的方法來完成這項(xiàng)工作嗎。

==編輯==

根據(jù)@BENY的回答，如果我這樣做：

import pandas as pd
import numpy as np

new = {'name': ['Sheldon', 'Penny', 'Amy', 'Bernadette', 'Raj', 'Sheldon'],
                'episodes': [42, 24, 31, 29, 37, 40],
                'gender': ['male', 'female', 'female', 'female', 'male', 'male']}
old = {'name': ['Sheldon', 'Penny', 'Amy', 'Bernadette', 'Raj', 'Sheldon'],
                'episodes': [12, 32, 31, 32, 37, 40],
                'gender': ['male', 'female', 'female', 'female', 'male', 'male']}    

df1 = pd.DataFrame(new, columns = ['name','episodes', 'gender'])    
df = pd.DataFrame(old, columns = ['name','episodes', 'gender'])

while True:
    df1 = pd.DataFrame(new, columns = ['name','episodes', 'gender'])    
    out = df.merge(df1[['name','episodes']],on=['name','episodes'],how='left',indicator=True).loc[lambda x : x['_merge']=='left_only']
    print(out)
    df = df1

它會(huì)在整個(gè)whileloop過程中打印出來：

         name  episodes  gender     _merge
0     Sheldon        12    male  left_only
1       Penny        32  female  left_only
3  Bernadette        32  female  left_only
         name  episodes  gender     _merge
0     Sheldon        12    male  left_only
1       Penny        32  female  left_only
3  Bernadette        32  female  left_only
         name  episodes  gender     _merge
0     Sheldon        12    male  left_only
1       Penny        32  female  left_only
3  Bernadette        32  female  left_only

有沒有辦法只打印一次。直到有另一個(gè)變化。如果我df= df1比它將打印如下，我將錯(cuò)過更改：

Columns: [name, episodes, gender, _merge]
Index: []
Empty DataFrame
Columns: [name, episodes, gender, _merge]

我需要在檢測(cè)到更改的地方干凈地獲取這些數(shù)據(jù)。