import plotly.express as px
import plotly.graph_objects as go
import pandas as pd
import numpy as np

# Create sample data
dates = pd.date_range(start='2024-01-01', end='2024-12-31', freq='M')
values = np.random.randn(12).cumsum()
categories = ['A', 'B', 'C', 'D']
values_bar = [23, 45, 56, 78]

# Line Chart
fig1 = px.line(x=dates, y=values, 
               title='Monthly Trend 2024',
               labels={'x': 'Date', 'y': 'Value'})
fig1.show()

# Scatter Plot with custom styling
fig2 = go.Figure()
fig2.add_trace(go.Scatter(
    x=np.random.randn(100),
    y=np.random.randn(100),
    mode='markers',
    marker=dict(
        size=10,
        color=np.random.randn(100),
        colorscale='Viridis',
        showscale=True
    )
))
fig2.update_layout(title='Scatter Plot with Color Scale')
fig2.show()

# Bar Chart
fig3 = px.bar(x=categories, y=values_bar,
              title='Category Distribution',
              labels={'x': 'Category', 'y': 'Value'},
              color=values_bar,
              color_continuous_scale='Reds')
fig3.show()