Python Pandas Tutorial

pip install pandas 

pip install --upgrade pandas

pip inall jupyter

note:- Jupyter is not necessary, but it provide a powerful and convenient environment for data analysis tasks, making it easier to visualize data, iterate on code, and document your analysis steps.

import numpy as np
import pandas as pd

DataFrame Make and store dictionary in excel like table:

df = pd.DataFrame(dict1)

export to csv, csv = comma seperated values

df.to_csv('friend')

df.to_csv('friend', index=False)

df.head(2)

df.tail(3)

df.describe()

assigning 'df' datafram, but with different data

harry = df.read_csv('harry.csv')

harry

harry['speed']
harry['speed'][0]
harry['speed'][0] = 50 

harry.to_csv

harry.index = ['first', 'second', 'third', 'fourth']

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Pandas has two types of data structures:

Series - One Dimensional

Dataframe - tabular spreadhsheet like structure

ser = pd.Series(np.random.rand)
#np = numPy

type(ser)

40:00/1:05:00 Python Pandas Tutorial in Hindi by CodeWithHarry