Python Pandas Tutorial | Drop Rows and Columns of a Pandas Dataset - P1

Python Pandas Tutorial | Drop Rows and Columns of a Pandas Dataset - P1
Topics to be covered:
1. Dropping a Single Column of a dataset.
2. Dropping multiple Column of a dataset.
3. Dropping the Column of a dataset based on the Column Index.
4. Dropping the Multiple Column of a dataset based on the Column Index.

import pandas as pd
import numpy as np

1 Dropping a Single Column of a dataset based on the column name

2.Dropping multiple Column of a dataset based on the column name

3. Dropping the Column of a dataset based on the Column Index

4. Dropping the Multiple Column of a dataset based on the Column Index

5. Deleting rows of a dataset and copying the resultant dataset to a new dataframe

# 6. Drop the Duplicate Values based on some conditions
df3 = df3[df3['Embarked'] != 'S'].head()

print(Dup)

print(Dup1)

[ijeffking]

The topics you have covered in these Pandas series is really apt with regard to Data Preprocessing for Machine Learning. A big opportunity to upskill and ease the audience into Machine Learning thereafter. Thank you again.

[shubhamagrawal]

While removing two columns together using index, why we had to use square braces twice. columns[[1, 3]]. I always get a bit confused on usage of braces.

[renubhandari]

Hi, Could you please tell that after doing df1= dataset.drop('Name', axis=1) ; what will be the output if we give command - print(dataset.head()) ?

Also, as you have given in row 27, df1 = df1.drop(['Pclass', 'Cabin'], axis=1)
cant we give dataset=dataset.drop('Name', axis=1) in row 22 ??