Change float index value to string index value in Pandas Series

Question

I have pandas series set like this:

1    357
0    212
Name: target, dtype: int64

When I used this code:

data=data.reindex(index=['A','B'])

My result is :

A   NaN
B   NaN
Name: target, dtype: float64

But I try to achieve this:

A    357
B    212
Name: target, dtype: int64

So, what mistake did I make?

Answer 1

Use set_axis for setting index to a series.

data.set_axis(['A','B'],inplace=False)

A    357
B    212
Name: target, dtype: int64

As the documentation say :

If you do reindex a new object is produced unless the new index is equivalent to the current one. Default values in the new index that do not have corresponding records in the dataframe are assigned NaN.

Answer 2

您可以通过以下方式进行操作：

data.index  = ['A','B']