import pandas as pd
import numpy as np

df1 = pd.DataFrame({'Information1' : [19, 'game. tennis','Prof. HANA
                    YAMADA', 'Canada.'],
                    'Information2' : ['books', 24, 'Shopping.','A. ELIZABETH
                    JONES.'],
                    'Information3' : ['Mr. ADAMS', 'Italy', 'Japan', 23],
                    'Information4' : ['Australia', 'MARCO', 25, 'movies']},
                    index = {'Person1','Person2','Person3', 'Person4'}
                   )

Information1      Information2        Information3      Information4
Person1     19                books             Mr. ADAMS         Australia
Person2 game. tennis          24                  Italy             MARCO
Person3 Prof. HANA YAMADA   Shopping.             Japan              25
Person4    Canada.        A. ELIZABETH JONES.     23                movies

Name
Person1 ADAMS
Person2 MARCO
Person3 HANA YAMADA
Person4 A. ELIZABETH JONES.

Name = []
for row in df1.itertuples():
    for item in row:
        if hasattr(item, "isupper") and item.isupper():
            Name.append(item)
            break
    else:
        Name.append(None)
df1["Name"] = Name
df1 =df1.drop(['Information1','Information2','Information3','Information4'],
              axis=1)

Name
Person1 None
Person2 MARCO
Person3 None
Person4 A. ELIZABETH JONES.