# Pandas series
**Pandas series** is a one-dimensional array that can hold all types of Python objects.
A pandas series is like a column in a table.
```
class pandas.Series(data=None, index=None, dtype=None, name=None, copy=False, fastpath=False)
```


#import pandas 
import pandas as pd
# Intialize series without index series
s1 = pd.Series([-2.5, -1.5, 1.5, 2.5])
#print Series
print("Series 1:")
print(s1)

# Intialize series with index series
s2 = {'a': 1, 'b': 2, 'c': 3}
ser2 = pd.Series(data=s2, index=['a', 'b', 'c'])
#print Series
print("Series 2:")
print(ser2)

#                
## Rounding in pandas series
**Rounding** is a simple concept. In `Round(1.x)`, if x is less than 5, then it will be 1.0 and if x is greater than 5, then it will be 2.0. However, the main concern is what we do if x is equal to 5. Should we round it up or down?

In such a case, pandas checks for a digit before the decimal point. If it is an odd number, then it rounds up the number and if it is an even number, it rounds down the number. This is called **bankers' rounding**.
     


# import Pandas 
import pandas as pd
# Intialize series 
s1 =pd.Series([10.5,41.5,52.5,63.5,54.5,55.5,96.5])
# print rounded series
print(s1.round())

How does the round function work with pandas series?

Pandas Series uses bankers' rounding; if the digit before a .5 is odd, it rounds up. If even, it rounds down.