Summary CLASS 12 NOTES ON SERIES (PYTHON PANDAS) INFORMATICS PRACTICES

PYTHON PANDAS (SERIES)
NUMPY:
NumPy or also known as Numerical Python is a python package that can be used
for numerical data analysis and scientific computing. It uses multidimensional
array object and has functions and tools working with these arrays.




PANDAS:
> PANDAS (or PANel DAta) is a high level data manipulation tool used for
analyzing data.
> It is very easy to import and export data using pandas library which has a rich
set of functions.
> it is built on packages like NumPy and Matplotlib and gives us a single and
convenient place to do most of our data analysis and visualization work.




DATA STRUCTURE IN PANDAS:
1. SERIES




PYTHON PANDAS (SERIES) 1

, 2. DATAFRAME



SERIES:
series is a one dimensional array containing a sequence of values of any data
type. it has numeric data labels starting from zero.



1. CREATING A SERIES FROM SCALAR VALUES:


import pandas as pd
series1=pd.Series([10,20,30])
print(series1)




OUTPUT:




2. CREATING A SERIES WITH USER DEFINED INDEXING:

import pandas as pd
series1=pd.Series([10,20,30,40], index=["MATHS","ENGLISH","SCIEN
print(series1)




PYTHON PANDAS (SERIES) 2