ADAP5

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]
y = [10, 12, 8, 14, 11]

plt.plot(x, y, marker='o', linestyle='--', color='green')
plt.title('Line Plot Example')
plt.xlabel('X-axis')
plt.ylabel('Y-axis')
plt.grid(True)
plt.show()
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import seaborn as sns
import pandas as pd

data = pd.DataFrame({
    'Item': ['Apple', 'Banana', 'Carrot'],
    'Quantity': [10, 5, 8]
})

sns.barplot(x='Item', y='Quantity', data=data, hue='Item', legend=False)
plt.title("Bar Chart with Color Palette")
plt.show()
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sns.boxplot(data=[10, 20, 25, 30, 80])
plt.title("Box Plot Showing Outlier")
plt.show()
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df = sns.load_dataset("iris")
correlation = df.corr(numeric_only=True)

sns.heatmap(correlation, annot=True, cmap='coolwarm')
plt.title("Heatmap of Iris Dataset Correlation")
plt.show()
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sns.pairplot(df, hue='species')
plt.suptitle("Pairplot with Hue = Species", y=1.02)
plt.show()
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sns.histplot(df['sepal_length'], kde=True, color='orange')
plt.title("Distribution Plot of Sepal Length")
plt.show()
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plt.plot([1, 2, 3], [4, 5, 6])
plt.annotate('Peak Point', xy=(2, 5), xytext=(2.5, 5.5),
             arrowprops=dict(facecolor='black', shrink=0.05))
plt.title("Plot with Annotation")
plt.show()
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sizes = [40, 35, 25]
labels = ['Apple', 'Banana', 'Carrot']
colors = ['#ff9999','#66b3ff','#99ff99']

plt.pie(sizes, labels=labels, colors=colors, autopct='%1.1f%%', startangle=140)
plt.title("Pie Chart of Fruit Distribution")
plt.axis('equal')
plt.show()