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如何在Python DataFrame列中查找值?

[英]How to look for a value in a Python DataFrame column?

This is my first question on this forum, sorry if my English is not so good! 这是我在这个论坛上的第一个问题,对不起,如果我的英语不太好!

I want to add a row to a DataFrame only if a specific column doesn't already contain a specific value. 我只想在特定列尚未包含特定值的情况下向DataFrame添加行。 Let say I write this : 可以说我这样写:

df = pd.DataFrame([['Mark', 9], ['Laura', 22]], columns=['Name', 'Age'])
new_friend = pd.DataFrame([['Alex', 23]], columns=['Name', 'Age'])
df = df.append(new_friend, ignore_index=True)
print(df)

    Name  Age
0   Mark    9
1  Laura   22
2   Alex   23

Now I want to add another friend, but I want to make sure I don't already have a friend with the same name. 现在,我想添加另一个朋友,但是我想确保我还没有一个名字相同的朋友。 Here is what I'm actually doing: 这是我实际上在做什么:

new_friend = pd.DataFrame([['Mark', 16]], columns=['Name', 'Age'])
df = df.append(new_friend, ignore_index=True)
print(df)

    Name  Age
0   Mark    9
1  Laura   22
2   Alex   55
3   Mark   16

then : 然后 :

df = df.drop_duplicates(subset='Name', keep='first')
df = df.reset_index(drop=True)
print(df)

    Name  Age
0   Mark    9
1  Laura   22
2   Alex   55

Is there another way of doing this something like : 有另一种方式可以做到这一点:

if name in Column 'Name'is True: 如果“名称”列中的名称为True:

don't add friend 不要添加朋友

else: 其他:

add friend 添加好友

Thank you! 谢谢!

if 'Mark' in list(df['Name']):
    print('Mark already in DF')
else:
    print('Mark not in DF')

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