如何（重新）命名 Pandas 数据框中的空列标题而不导出到 csv
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How to (re)name an empty column header in a pandas dataframe without exporting to csv
提问by sudonym
I have a pandas dataframe df1with an index column and an unnamed series of values. I want to assign a name to the unnamed series.
我有一个df1带有索引列和一系列未命名值的Pandas数据框。我想为未命名系列指定一个名称。
The only way to do this that I know so far is to export to df1.csvusing:
到目前为止，我知道的唯一方法是导出到df1.csv使用：
df1.to_csv("df1.csv", header = ["Signal"])
df1.to_csv("df1.csv", header = ["Signal"])
and then re-import using:
然后使用以下方法重新导入：
pd.read_csv("df1.csv", sep=",")
pd.read_csv("df1.csv", sep=",")
However, this costs time and storage space. How to do this in-memory?
但是，这会花费时间和存储空间。如何在内存中做到这一点？
When I do df2 = df1.rename(columns = {"" : "Signal"}, inplace = True)
当我做 df2 = df1.rename(columns = {"" : "Signal"}, inplace = True)
I yield:
我屈服：
AttributeError: "Series" object has no attribute "Signal".
AttributeError: "Series" object has no attribute "Signal".
回答by jezrael
I think inplace=Truehas to be removed, because it return None:
我认为inplace=True必须删除，因为它返回None：
df2 = df1.rename(columns = {"" : "Signal"})
df1.rename(columns = {"" : "Signal"}, inplace = True)
Another solution is asign new name by position:
另一种解决方案是按位置指定新名称：
df.columns.values[0] = 'Signal'
Sample:
样本：
df1 = pd.DataFrame({'':[1,2,3],
'B':[4,5,6],
'C':[7,8,9]})
print (df1)
B C
0 1 4 7
1 2 5 8
2 3 6 9
df2 = df1.rename(columns = {"" : "Signal"})
print (df2)
Signal B C
0 1 4 7
1 2 5 8
2 3 6 9
