如何命名 Pandas 系列
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How to name a Pandas Series
提问by Ivan
I have data as follows in a DataFramesymbolData:
我在 a 中有如下数据DataFramesymbolData：
Open High Low Close Volume Ex-Dividend Split Ratio Adj. Open Adj. High Adj. Low Adj. Close Adj. Volume
Date
1980-12-12 28.75 28.8700 28.7500 28.75 2093900.0 0.0 1.0 0.424421 0.426193 0.424421 0.424421 117258400.0
When I get just the serieswith the Adj Closecolumn, I would like to give it a name:
当我得到series这个Adj Close列时，我想给它一个名字：
adjClose = symbolData.ix[:,10]
Right now, the above looks like
现在，上面看起来像
Date
1980-12-12 0.424421
I would like it to look like
我希望它看起来像
AlgoClose
Date
1980-12-12 0.424421
回答by Miriam Farber
This will do the job:
这将完成这项工作：
adjClose = symbolData.ix[:,10].rename("AlgoClose")
adjClose =pd.DataFrame(adjClose)
回答by Max Power
after you define your series with ix, you can set its name with:
使用 定义系列后ix，您可以使用以下命令设置其名称：
adjClose.name = 'adjClose'
or, you could keep the original column-name when you define the series, like this:
或者，您可以在定义系列时保留原始列名，如下所示：
adjClose = symbolData['Adj. Close']
this 'named series' won't display quite how you asked for though, it will display like:
这个“命名系列”不会完全按照你的要求显示，它会显示如下：
Date
1980-12-12 0.424421
Name: adjclose, dtype: float64
if it's more important to display as you want, rather than to keep it a series, than convert it to a one-column DataFramelike in Miriam's answer.
如果根据需要显示更重要，而不是将其保留为系列，那么将其转换为DataFrame像 Miriam 的答案中的一列。
回答by Allen
You can rename the Series and then use .to_frame to convert it to a dataframe. Also, it's better to use iloc instead of ix as it's going to be deprecated in the future.
您可以重命名系列，然后使用 .to_frame 将其转换为数据帧。此外，最好使用 iloc 而不是 ix，因为它将来会被弃用。
df.iloc[:,10].rename('AlgoClose').to_frame()
Out[20]:
AlgoClose
Date
1980-12-12 0.424421
回答by Madhu Babu Adiki
You can also use the to_frame(name)function with the nameparameter:
symbolData.ix[:,10].to_frame(name='AlgoClose')
您还可以使用to_frame(name)带有name参数的函数：
symbolData.ix[:,10].to_frame(name='AlgoClose')
