Toyota Sales

import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt

toyota.head()

toyota['year'] = toyota['year'].astype(int)
toyota['model'] = toyota['model'].astype("string").str.strip()
toyota['price'] = toyota['price'].astype(int)
toyota['transmission'] = toyota['transmission'].astype("string").str.strip()
toyota['mileage'] = toyota['mileage'].astype(int)
toyota['fuelType'] = toyota['fuelType'].astype("string").str.strip()
toyota['tax'] = toyota['tax'].astype(int)
toyota['mpg'] = toyota['mpg'].astype(float)
toyota['engineSize'] = toyotaa['engineSize'].astype(int)

toyota.info()

petrol_counts = toyota.loc[toyota['fuelType'] == 'Hybrid']['model']\
.value_counts().head(5)
petrol_sort = petrol_counts.index

sns.countplot(
        x='model',
        data=toyota[toyota['fuelType'] == 'Hybrid'],
        order=petrol_sort, 
        color="#d9d9d9ff"
        )

plt.gca().spines["top"].set_visible(False)
plt.gca().spines["right"].set_visible(False)
plt.gca().spines["left"].set_visible(False)
plt.gca().spines["bottom"].set_visible(False)

plt.xlabel("Car Model")
plt.ylabel("Count Sold")
plt.title("Sales Count of Hybrid Cars only by Model")
plt.xticks(rotation=45)

plt.show()

toyota.mpg.max()

toyota.mpg.min()

#Create bins for MPG Category
bins = [0, 20, 40, 60, 80, 100, 
        120, 140, 160, 180, 
        200, 220, 235]

labels = ["1-20", "21-40", "41-60", "61-80", "81-100", 
          "101-120", "121-140", "141-160", "161-180", 
          "181-200", "201-220", "221-235"]
toyota["MPG Category"] = pd.cut(toyota["mpg"], bins=bins, labels=labels, right=True)

sns.histplot(
    x=toyota["MPG Category"],
    discrete=True,
    color='#d9d9d9ff'
    
)
plt.gca().spines["top"].set_visible(False)
plt.gca().spines["right"].set_visible(False)
plt.gca().spines["left"].set_visible(False)
plt.gca().spines["bottom"].set_visible(False)
plt.grid(True, axis="y", linestyle="--", alpha=0.3)

plt.xticks(rotation=45)
plt.xlabel("MPG Category")
plt.ylabel("Counts")
plt.title("MPG Category Distribution")
plt.show()