Imagine a Data Table like Excel sheet or SQL Table, In that table there are rows, columns and an index.
Series is just like a column which is 1 Dimensional. Additionally a series has an index also.
It is a one-dimensional array holding data of any type.
Properties of a Pandas Series
- Pandas Series is Indexed
- Pandas Series is Mutable
- Pandas Series is Ordered
Pandas Series can be created using a list or any similar object.
Example:
import pandas as pd
ml = [2,8, 3]
s= pd.Series(ml)
print(s)
In the above given example, ml is a list, s is the series that we are creating. This code will produce following output
0 2 1 8 2 3 dtype: int64
In this output the first column is called Index and the second column has our Values
In total it is a Single Dimensional Data.
If you want you can change the Index as per your liking
import pandas as pd
a = [3, 7, 9]
s= pd.Series(a, index = [\”x\”, \”y\”, \”z\”])
print(s)
Output:
x 1 y 7 z 2 dtype: int64
Here you can see the index has been changed.
\”s\” is the main object here which is of Pandas Series type.
How to access values in a Series using Index
In the above given example we can access values by writing following method
print(s[‘x’]) # when the index is non numerical
print(s[2]) # when the index is integer
How to Create Pandas Series from a Python Dictionary:
import pandas as pd
marks= {“Mohan”: 420, “Sohan”: 380, “John”: 390}
s = pd.Series(marks)
print(s)
# Here s is a series
Mohan 420 Sohan 380 John 390 dtype: int64 So now if we have to get marks of Sohan , we can use print(s['Sohan'])
We will see more use of Series in other chapters as well.
Ankit Srivastava is an IT trainer, technology educator, and digital skills mentor with expertise in programming, data analytics, AI, and software development. He has successfully trained thousands of learners, with more than 10,000 student enrollments on Udemy. His practical teaching approach empowers students and professionals to build in-demand technical skills. Colorstech channel where Ankit posts video tutorials has more than 8000 Subscribers.
