๐ Interactive Plots with Plotly
Plotly allows you to create interactive charts that you can zoom, pan, and hover over.
๐ก Quick Tip:
Mastering this concept will significantly boost your Python data science skills!
๐ป Code Example:
import plotly.graph_objects as go from plotly.subplots import make_subplots # 1. Multi-panel interactive dashboard fig = make_subplots( rows=2, cols=2, subplot_titles=("Monthly Revenue", "Course Distribution", "User Growth", "Score Range"), specs=[[{"type": "scatter"}, {"type": "pie"}], [{"type": "bar"}, {"type": "box"}]], ) months = ["Jan", "Feb", "Mar", "Apr", "May", "Jun"] revenue = [45000, 52000, 48000, 61000, 75000, 89000] # Line + markers fig.add_trace(go.Scatter( x=months, y=revenue, mode="lines+markers", name="Revenue (โน)", line=dict(color="#3498db", width=3), marker=dict(size=8), ), row=1, col=1) # Pie chart fig.add_trace(go.Pie( labels=["Python", "AI", "DevOps", "Testing"], values=[45, 30, 15, 10], hole=0.4, name="Courses", ), row=1, col=2) # Bar chart users = [120, 185, 210, 275, 340, 420] fig.add_trace(go.Bar( x=months, y=users, name="New Users", marker_color="#2ecc71", ), row=2, col=1) # Box plot import numpy as np np.random.seed(42) for course, color in zip(["Python", "AI", "DevOps"], ["royalblue", "tomato", "gold"]): scores = np.random.randint(55, 100, 40) fig.add_trace(go.Box(y=scores, name=course, marker_color=color), row=2, col=2) fig.update_layout( title_text="Pynfinity Platform Dashboard", height=600, showlegend=False, ) fig.show()
Keep exploring and happy coding! ๐ป
