ADAP6

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]
y1 = [10, 12, 8, 14, 11]
y2 = [2, 5, 7, 6, 3]

plt.plot(x, y1, label='Primary Line',
         color='blue', linewidth=2)
plt.plot(x, y2, label='Secondary Line',
         color='red', linestyle='--')

# Adding scatter on top
plt.scatter(x, y1, color='black', zorder=5)

# Adding title, legend, and grid
plt.title("Layered Line and Scatter Plot")
plt.xlabel("X Axis")
plt.ylabel("Y Axis")
plt.grid(True)
plt.legend()
plt.show()
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import seaborn as sns
import pandas as pd

# Sample data
df = pd.DataFrame({
    'x': range(1, 6),
    'y1': [3, 5, 7, 6, 8],
    'y2': [1, 4, 2, 5, 3]
})

# Base layer
sns.lineplot(x='x', y='y1', data=df,
             label='Line 1', color='green')

# Additional layer
sns.lineplot(x='x', y='y2', data=df,
             label='Line 2', color='purple',
             linestyle='--')

# Annotation and customization
plt.title("Seaborn Layered Line Plot")
plt.grid(True)
plt.legend()
plt.show()

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plt.plot(x, y1, label='Trend', color='navy')
plt.fill_between(x, y1, color='skyblue', alpha=0.3)  # shaded region layer

# Highlight a point
plt.scatter([3], [8], color='red', zorder=5)
plt.annotate("Peak", xy=(3, 8), xytext=(3.5, 9),
             arrowprops=dict(arrowstyle='->'))

plt.title("Plot with Fill and Annotation Layers")
plt.show()

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import plotly.graph_objects as go

fig = go.Figure()

# Layer 1: Line
fig.add_trace(go.Scatter(
    x=x,y=y1,mode='lines+markers', name='y1'))

# Layer 2: Line
fig.add_trace(go.Scatter(
    x=x, y=y2, mode='lines', name='y2'))

# Layout and Show
fig.update_layout(title="Layered Plot with Plotly",
                  xaxis_title="X", yaxis_title="Y")
fig.show()