Pandas Series
Pandas Series
A Pandas Series is like a column in a table.
It is a one-dimensional array holding data of any type.
Example
Create a simple Pandas Series from a list:
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.
Example
Return the first value of the Series:
print(myvar[0])
Create Labels
With the index argument, you can name your own labels.
Example
Create you own labels:
Return the first value of the Series:
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.
Example
Create you own labels:
Return the first value of the Series:
import pandas as pd
a = [1, 7, 2]
myvar = pd.Series(a, index = ["x", "y", "z"])
print(myvar)
When you have created labels, you can access an item by referring to the label.
Example
Return the value of “y”:
print(myvar["y"])
Key/Value Objects as Series
ou can also use a key/value object, like a dictionary, when creating a Series.
Example
Create a simple Pandas Series from a dictionary:
import pandas as pd
calories = {"day1": 420, "day2": 380, "day3": 390}
myvar = pd.Series(calories)
print(myvar)
To select only some of the items in the dictionary, use the index argument and specify only the items you want to include in the Series.
Example
Create a Series using only data from “day1” and “day2”:
import pandas as pd
calories = {"day1": 420, "day2": 380, "day3": 390}
myvar = pd.Series(calories, index = ["day1", "day2"])
print(myvar)