#Line Plot
import matplotlib.pyplot as plt

x = [1,2,3,4,5]
y = [10, 20, 30, 40, 50]

plt.plot(x,y)
plt.title("Line Plot")
plt.xlabel("X")
plt.ylabel("Y")
plt.show()

#Bar Graph
plt.bar(x,y)
plt.title("Bar Graph")
plt.xlabel("X")
plt.ylabel("Y")
plt.show()

#Histogram
import numpy as np
data = np.random.randn(1000)

plt.hist(data, bins = 30)
plt.show()

#Box Plot
import seaborn as sns
import matplotlib.pyplot as plt

# Example data
data = sns.load_dataset('tips')

# Box plot
sns.boxplot(x='day', y='total_bill', data=data)
plt.title('Box Plot')
plt.show()

#Scatter Plot

import matplotlib.pyplot as plt

# Example data
x = [1, 2, 3, 4, 5]
y = [1, 4, 9, 16, 25]

# Scatter plot
plt.scatter(x, y, color='red')
plt.title('Scatter Plot')
plt.xlabel('X')
plt.ylabel('Y')
plt.show()
#Pie Chart

import matplotlib.pyplot as plt

# Example data
labels = ['Apple', 'Banana', 'Cherry', 'Date']
sizes = [10, 20, 30, 40]

# Pie chart
plt.pie(sizes, labels=labels, autopct='%1.1f%%', startangle=90)
plt.title('Pie Chart')
plt.show()
#Heatmap

import seaborn as sns
import matplotlib.pyplot as plt

# Example data
data = np.random.rand(10, 12)

# Heatmap
sns.heatmap(data, cmap='coolwarm', annot=True)
plt.title('Heatmap')
plt.show()
#Pair plot
import seaborn as sns
import matplotlib.pyplot as plt

# Example data
data = sns.load_dataset('iris')

# Pair plot
sns.pairplot(data, hue='species')
plt.title('Pair Plot')
plt.show()