Pandas

Used for:

Data Manipulation

Data Wrangling/Cleaning

Data Analysis

Data Structures of Pandas:

Series: 1D ndarray with an axis label.

Dataframes: 2D, hetegeneous data, all operations on a dataframe can be performed along the axes, rows and columns.

import pandas as pd

pd.__version__

'1.1.3'

Constructing Series Objects:

Syntax:

pd.Series(data, index=index)

index is an optional argument and can be list/tuple

data can be list/tuple

s = pd.Series([10,20,30,40,50])
print(s)
print(s.shape) # shape is an attribute

0    10
1    20
2    30
3    40
4    50
dtype: int64
(5,)