Align the indices of two pd.Serieses

Align the indices of the two Series.

"Add two Serieses to create a third Series."

import sys
import numpy as np
import pandas as pd

data = [10.00, 20.00, 30.00, 40.00, 50.00]
prices = pd.Series(data = data, name = "prices") #born with a pd.RangeIndex(1, 5)
prices.index.name = "day"
print(prices)
print()

index = pd.RangeIndex(1, 6, name = "day")
data = [2.00, 3.00, 4.00, 5.00, 6.00]
taxes = pd.Series(data = data, index = index, name = "taxes")
print(taxes)
print()

totalPrices = prices + taxes
totalPrices.name = "total prices"
print(totalPrices)
print()

totalPrices = prices.add(taxes, fill_value = 0.0)
totalPrices.name = "total prices"
print(totalPrices)

sys.exit(0)

day
0    10.0
1    20.0
2    30.0
3    40.0
4    50.0
Name: prices, dtype: float64

day
1    2.0
2    3.0
3    4.0
4    5.0
5    6.0
Name: taxes, dtype: float64

day
0     NaN
1    22.0
2    33.0
3    44.0
4    55.0
5     NaN
Name: total prices, dtype: float64

day
0    10.0
1    22.0
2    33.0
3    44.0
4    55.0
5     6.0
Name: total prices, dtype: float64