Python Analyst

# Start coding here... 

import pandas as pd

import matplotlib.pyplot as plt

import seaborn as sns

import numpy as np

pet_ss= pd.read_csv('pet_supplies_2212.csv')

pet_ss.shape

pet_ss['category'].value_counts()

pet_ss[pet_ss['rating'].isna()]

pet_ss['rating'].fillna(0, inplace=True)

pet_ss[pet_ss["price"]=="unlisted"]

pet_ss['price'].replace('unlisted', pd.np.nan, inplace=True)

pet_ss[pet_ss['price'].isna()]

pet_ss['price'].fillna(pet_ss['price'].median(), inplace=(True))