如何使用 Pandas 将 Series 连接到 DataFrame 上？
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How can I concatenate a Series onto a DataFrame with Pandas?
提问by David Wolever
If I have a DataFrame:
如果我有一个DataFrame：
students = pd.DataFrame([
['Alex'],
['Lauren'],
])
How can I concatenate a Seriesand create a new DataFrame? For example, I'd like:
如何连接 aSeries并创建一个新的DataFrame？例如，我想：
>>> marks = pd.Series([.8, .75])
>>> students.concat(marks).values
[['Alex', .8],
['Lauren', .75]]
I know that I could use:
我知道我可以使用：
students['marks'] = marks
But that would mutate students.
但那会发生变异students。
I've tried:
我试过了：
>>> pd.concat([students, marks])
…
AttributeError: 'Series' object has no attribute '_data'
回答by alko
You can convert to DataFrame and concatenate afterwards:
您可以转换为 DataFrame 并在之后进行连接：
>>> pd.concat([students, pd.DataFrame(marks)], axis=1)
0 0
0 Alex 0.80
1 Lauren 0.75
回答by qmorgan
To retain your original dataframe, you could first copy the dataframe, and then add the column:
要保留原始数据框，您可以先复制数据框，然后添加列：
students2 = students.copy(deep=True)
students2['marks'] = marks
回答by jvns
In this case I would normally do
在这种情况下，我通常会做
students["marks"] = marks
students["marks"] = marks
But pd.concatworks as well.
但pd.concat也有效。
