问题
Say I extract a series from a dataframe (like what would happen with an apply function). I'm trying to find the original dataframe index from that series.
df=pd.DataFrame({'a':[1,2,3],'b':[4,5,6],'c':[7,8,9]})
x=df.ix[0]
x
Out[109]:
a 1
b 4
c 7
Name: 0, dtype: int64
Notice the "Name: 0" piece at the bottom of the output. How can I get the value '0' from series object x?
回答1:
you access it with the name attribute
x.name
0
take these examples
for i, row in df.iterrows():
print row.name, i
0 0
1 1
2 2
Notice that the name attribute is the same as the variable i which is supposed to be the row index.
It's the same for columns
for j, col in df.iteritems():
print col.name, j
a a
b b
c c
来源：https://stackoverflow.com/questions/39988903/how-to-get-dataframe-index-from-series