Pandas Series

Python Pandas

pandas user define functions

Pandas Series

A Pandas Series is like a column in a table. It is a one-dimensional array holding data of any type.

Code :

import pandas as pd
 a = [1, 7, 2]
 myvar = pd.Series(a)
 print(myvar)

Labels

If nothing else is specified, the values are labeled with their index number. First value has index 0, second value has index 1 etc. This label can be used to access a specified value.

Code :

 print(myvar[0])

Create Labels

With the index argument, you can name your own labels.

Code :

import pandas as pd
 a = [1, 7, 2]
 myvar = pd.Series(a, index = ["x", "y", "z"])
 print(myvar)

Create Labels

With the index argument, you can name your own labels.

Code :

import pandas as pd
 a = [1, 7, 2]
 myvar = pd.Series(a, index = ["x", "y", "z"])
 print(myvar)

Key/Value Objects as Series

ou can also use a key/value object, like a dictionary, when creating a Series.

Code :

 import pandas as pd
 calories = {"day1": 420, "day2": 380, "day3": 390}
 myvar = pd.Series(calories)
 print(myvar)

Key/Value Objects as Series Example

Create a Series using only data from “day1” and “day2”:

Code :

import pandas as pd
 calories = {"day1": 420, "day2": 380, "day3": 390}
 myvar = pd.Series(calories, index = ["day1", "day2"])
 print(myvar)