Here is the code that I am working with:
import pandas as pd
test3 = pd.Series([1,2,3], index = ['a','b','c'])
test3 = test3.reindex(index = ['f','g','z'])
So originally every thing is fine and test3 has an index of 'a' 'b' 'c' and values 1,2,3. But then when I got to reindex test3 I get that my values 1 2 3 are lost. Why is that? The desired output would be:
f 1
g 2
z 3
The docs are clear on this behaviour :
Conform Series to new index with optional filling logic, placing NA/NaN in locations having no value in the previous index
if you just want to overwrite the index values then do:
In [32]:
test3.index = ['f','g','z']
test3
Out[32]:
f 1
g 2
z 3
dtype: int64