Dropping rows/columns from a Pandas dataframe

import modules

import pandas as pd
import numpy as np

create dummy dataframe

raw_data = {'name': ['Willard Morris', 'Al Jennings', 'Omar Mullins', 'Spencer McDaniel'],
'age': [20, 19, 22, 21],
'favorite_color': ['blue', 'red', 'yellow', "green"],
'grade': [88, 92, 95, 70]}
df = pd.DataFrame(raw_data, index = ['Willard Morris', 'Al Jennings', 'Omar Mullins', 'Spencer McDaniel'])
df

drop a row by name

df.drop(['Willard Morris', 'Spencer McDaniel'])

drop a row by number

df.drop(df.index[0], inplace=True)
df

drop first 2 rows (put ':' to left of # to drop last X rows)

df.drop(df.index[:2], inplace=True)
df

dropping column by name

df.drop(['age'], axis = 1, inplace = True)
df