devdunia/plotly.html at main · echobash/devdunia · GitHub

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<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <link rel="icon" type="image/png" href="images/logo.png">
    <link rel="apple-touch-icon" href="images/logo.png">
    <title>Plotly - Developer Toolkit | DevDunia</title>
    <meta name="description" content="Plotly interactive charts, dashboards, and data visualization examples. Free online Plotly reference for developers.">
    <script src="https://cdn.tailwindcss.com"></script>
    <script src="js/common.js"></script>
    <style>
        body {
            background: linear-gradient(135deg, #0f172a 0%, #1e293b 50%, #0f172a 100%);
        }
    </style>
</head>
<body class="h-screen lg:ml-72">
    <!-- Background: Consistent Subtle Dark Gradient -->
    <div class="fixed inset-0 -z-10 bg-gradient-to-br from-gray-900 via-slate-900 to-gray-900"></div>

    <!-- Main Container -->
    <div class="main-content">
        <div class="relative z-10 container mx-auto px-4 pt-16 pb-24 sm:px-6 lg:px-8">

        <!-- Page Header -->
        <div class="text-center mb-12">
            <h1 class="text-3xl sm:text-4xl font-bold mb-4 tracking-tight
                       text-transparent bg-clip-text bg-gradient-to-r from-emerald-400 to-teal-500">
                Plotly
            </h1>
            <p class="text-lg text-gray-400 max-w-2xl mx-auto">
                Interactive charts, dashboards, and data visualization examples.
            </p>
        </div>

        <!-- Tool Container -->
        <div class="max-w-6xl mx-auto">
            <div class="bg-slate-800/70 backdrop-blur-md rounded-lg shadow-lg border border-slate-700/60 p-6">

                <!-- Setup Section -->
                <div class="mb-8">
                    <h2 class="text-xl font-semibold text-emerald-300 mb-4">Setup & Installation</h2>
                    <div class="bg-slate-700/30 rounded-lg p-4 border border-slate-600/50">
                        <div class="flex items-center justify-between mb-3">
                            <h3 class="text-lg font-medium text-emerald-300">Installation & Basic Setup</h3>
                            <button class="copy-btn px-3 py-1 bg-emerald-600 hover:bg-emerald-700 text-white text-xs rounded transition-colors duration-200 flex items-center space-x-1" data-target="setup-code">
                                <svg class="w-3 h-3" fill="none" stroke="currentColor" viewBox="0 0 24 24">
                                    <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M8 16H6a2 2 0 01-2-2V6a2 2 0 012-2h8a2 2 0 012 2v8a2 2 0 01-2 2h-2m-6-4l2 2m0 0l2-2m-2 2V10"></path>
                                </svg>
                                <span>Copy</span>
                            </button>
                        </div>
                        <textarea
                            id="setup-code"
                            rows="8"
                            class="w-full px-3 py-2 bg-slate-800/50 border border-slate-600 rounded text-gray-200 font-mono text-sm resize-none"
                            readonly
                        ># Install Plotly
pip install plotly

# Install additional packages
pip install pandas numpy dash

# Basic imports
import plotly.graph_objects as go
import plotly.express as px
import plotly.offline as pyo
import pandas as pd
import numpy as np

# For Jupyter notebooks
import plotly.io as pio
pio.renderers.default = "notebook"

# For web applications
import dash
from dash import dcc, html</textarea>
                    </div>
                </div>

                <!-- Basic Charts Section -->
                <div class="mb-8">
                    <h2 class="text-xl font-semibold text-emerald-300 mb-4">Basic Charts</h2>
                    <div class="grid grid-cols-1 md:grid-cols-2 gap-6">

                        <!-- Line and Scatter Plots -->
                        <div class="bg-slate-700/30 rounded-lg p-4 border border-slate-600/50">
                            <div class="flex items-center justify-between mb-3">
                                <h3 class="text-lg font-medium text-emerald-300">Line & Scatter Plots</h3>
                                <button class="copy-btn px-3 py-1 bg-emerald-600 hover:bg-emerald-700 text-white text-xs rounded transition-colors duration-200 flex items-center space-x-1" data-target="line-scatter-code">
                                    <svg class="w-3 h-3" fill="none" stroke="currentColor" viewBox="0 0 24 24">
                                        <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M8 16H6a2 2 0 01-2-2V6a2 2 0 012-2h8a2 2 0 012 2v8a2 2 0 01-2 2h-2m-6-4l2 2m0 0l2-2m-2 2V10"></path>
                                    </svg>
                                    <span>Copy</span>
                                </button>
                            </div>
                            <textarea
                                id="line-scatter-code"
                                rows="15"
                                class="w-full px-3 py-2 bg-slate-800/50 border border-slate-600 rounded text-gray-200 font-mono text-sm resize-none"
                                readonly
                            >import plotly.graph_objects as go
import plotly.express as px
import numpy as np

# Create sample data
x = np.linspace(0, 10, 100)
y1 = np.sin(x)
y2 = np.cos(x)

# Line plot with Plotly Express
fig = px.line(x=x, y=y1, title='Sine Wave')
fig.show()

# Multiple lines
fig = go.Figure()
fig.add_trace(go.Scatter(x=x, y=y1, mode='lines', name='sin(x)'))
fig.add_trace(go.Scatter(x=x, y=y2, mode='lines', name='cos(x)'))
fig.update_layout(title='Trigonometric Functions', xaxis_title='X', yaxis_title='Y')
fig.show()

# Scatter plot
x_scatter = np.random.randn(100)
y_scatter = np.random.randn(100)
fig = px.scatter(x=x_scatter, y=y_scatter, title='Random Scatter Plot')
fig.show()

# Scatter with colors
colors = np.random.randn(100)
fig = px.scatter(x=x_scatter, y=y_scatter, color=colors,
                title='Colored Scatter Plot', color_continuous_scale='viridis')
fig.show()</textarea>
                        </div>

                        <!-- Bar and Pie Charts -->
                        <div class="bg-slate-700/30 rounded-lg p-4 border border-slate-600/50">
                            <div class="flex items-center justify-between mb-3">
                                <h3 class="text-lg font-medium text-emerald-300">Bar & Pie Charts</h3>
                                <button class="copy-btn px-3 py-1 bg-emerald-600 hover:bg-emerald-700 text-white text-xs rounded transition-colors duration-200 flex items-center space-x-1" data-target="bar-pie-code">
                                    <svg class="w-3 h-3" fill="none" stroke="currentColor" viewBox="0 0 24 24">
                                        <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M8 16H6a2 2 0 01-2-2V6a2 2 0 012-2h8a2 2 0 012 2v8a2 2 0 01-2 2h-2m-6-4l2 2m0 0l2-2m-2 2V10"></path>
                                    </svg>
                                    <span>Copy</span>
                                </button>
                            </div>
                            <textarea
                                id="bar-pie-code"
                                rows="15"
                                class="w-full px-3 py-2 bg-slate-800/50 border border-slate-600 rounded text-gray-200 font-mono text-sm resize-none"
                                readonly
                            >import plotly.graph_objects as go
import plotly.express as px
import pandas as pd

# Sample data
categories = ['A', 'B', 'C', 'D', 'E']
values = [23, 45, 56, 78, 32]

# Bar chart
fig = px.bar(x=categories, y=values, title='Bar Chart')
fig.show()

# Horizontal bar chart
fig = px.bar(x=values, y=categories, orientation='h', title='Horizontal Bar Chart')
fig.show()

# Grouped bar chart
df = pd.DataFrame({
    'Category': ['A', 'B', 'C', 'D', 'E'] * 2,
    'Value': [23, 45, 56, 78, 32, 34, 67, 23, 45, 67],
    'Group': ['Group 1'] * 5 + ['Group 2'] * 5
})

fig = px.bar(df, x='Category', y='Value', color='Group',
            title='Grouped Bar Chart', barmode='group')
fig.show()

# Pie chart
fig = px.pie(values=values, names=categories, title='Pie Chart')
fig.show()

# Donut chart
fig = go.Figure(data=[go.Pie(labels=categories, values=values, hole=0.3)])
fig.update_layout(title='Donut Chart')
fig.show()</textarea>
                        </div>

                    </div>
                </div>

                <!-- Advanced Charts Section -->
                <div class="mb-8">
                    <h2 class="text-xl font-semibold text-emerald-300 mb-4">Advanced Charts</h2>
                    <div class="grid grid-cols-1 md:grid-cols-2 gap-6">

                        <!-- 3D and Surface Plots -->
                        <div class="bg-slate-700/30 rounded-lg p-4 border border-slate-600/50">
                            <div class="flex items-center justify-between mb-3">
                                <h3 class="text-lg font-medium text-emerald-300">3D & Surface Plots</h3>
                                <button class="copy-btn px-3 py-1 bg-emerald-600 hover:bg-emerald-700 text-white text-xs rounded transition-colors duration-200 flex items-center space-x-1" data-target="3d-surface-code">
                                    <svg class="w-3 h-3" fill="none" stroke="currentColor" viewBox="0 0 24 24">
                                        <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M8 16H6a2 2 0 01-2-2V6a2 2 0 012-2h8a2 2 0 012 2v8a2 2 0 01-2 2h-2m-6-4l2 2m0 0l2-2m-2 2V10"></path>
                                    </svg>
                                    <span>Copy</span>
                                </button>
                            </div>
                            <textarea
                                id="3d-surface-code"
                                rows="15"
                                class="w-full px-3 py-2 bg-slate-800/50 border border-slate-600 rounded text-gray-200 font-mono text-sm resize-none"
                                readonly
                            >import plotly.graph_objects as go
import numpy as np

# 3D scatter plot
x = np.random.randn(100)
y = np.random.randn(100)
z = np.random.randn(100)

fig = go.Figure(data=[go.Scatter3d(
    x=x, y=y, z=z,
    mode='markers',
    marker=dict(
        size=5,
        color=z,
        colorscale='viridis',
        opacity=0.8
    )
)])
fig.update_layout(title='3D Scatter Plot')
fig.show()

# Surface plot
x = np.linspace(-5, 5, 50)
y = np.linspace(-5, 5, 50)
X, Y = np.meshgrid(x, y)
Z = np.sin(np.sqrt(X**2 + Y**2))

fig = go.Figure(data=[go.Surface(z=Z, x=X, y=Y)])
fig.update_layout(title='3D Surface Plot')
fig.show()

# 3D line plot
t = np.linspace(0, 10, 100)
x = np.sin(t)
y = np.cos(t)
z = t

fig = go.Figure(data=[go.Scatter3d(
    x=x, y=y, z=z,
    mode='lines',
    line=dict(color='red', width=5)
)])
fig.update_layout(title='3D Line Plot')
fig.show()</textarea>
                        </div>

                        <!-- Heatmaps and Contour -->
                        <div class="bg-slate-700/30 rounded-lg p-4 border border-slate-600/50">
                            <div class="flex items-center justify-between mb-3">
                                <h3 class="text-lg font-medium text-emerald-300">Heatmaps & Contour</h3>
                                <button class="copy-btn px-3 py-1 bg-emerald-600 hover:bg-emerald-700 text-white text-xs rounded transition-colors duration-200 flex items-center space-x-1" data-target="heatmap-code">
                                    <svg class="w-3 h-3" fill="none" stroke="currentColor" viewBox="0 0 24 24">
                                        <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M8 16H6a2 2 0 01-2-2V6a2 2 0 012-2h8a2 2 0 012 2v8a2 2 0 01-2 2h-2m-6-4l2 2m0 0l2-2m-2 2V10"></path>
                                    </svg>
                                    <span>Copy</span>
                                </button>
                            </div>
                            <textarea
                                id="heatmap-code"
                                rows="15"
                                class="w-full px-3 py-2 bg-slate-800/50 border border-slate-600 rounded text-gray-200 font-mono text-sm resize-none"
                                readonly
                            >import plotly.graph_objects as go
import plotly.express as px
import numpy as np
import pandas as pd

# Simple heatmap
data = np.random.randn(10, 10)
fig = go.Figure(data=go.Heatmap(z=data, colorscale='viridis'))
fig.update_layout(title='Heatmap')
fig.show()

# Correlation heatmap
np.random.seed(42)
df = pd.DataFrame(np.random.randn(100, 5), columns=['A', 'B', 'C', 'D', 'E'])
correlation_matrix = df.corr()

fig = go.Figure(data=go.Heatmap(
    z=correlation_matrix.values,
    x=correlation_matrix.columns,
    y=correlation_matrix.columns,
    colorscale='RdBu',
    zmid=0
))
fig.update_layout(title='Correlation Heatmap')
fig.show()

# Contour plot
x = np.linspace(-5, 5, 50)
y = np.linspace(-5, 5, 50)
X, Y = np.meshgrid(x, y)
Z = np.sin(np.sqrt(X**2 + Y**2))

fig = go.Figure(data=go.Contour(
    x=x, y=y, z=Z,
    colorscale='viridis',
    contours=dict(
        start=-1, end=1, size=0.1
    )
))
fig.update_layout(title='Contour Plot')
fig.show()</textarea>
                        </div>

                    </div>
                </div>

                <!-- Dash Applications Section -->
                <div class="mb-8">
                    <h2 class="text-xl font-semibold text-emerald-300 mb-4">Dash Applications</h2>
                    <div class="bg-slate-700/30 rounded-lg p-4 border border-slate-600/50">
                        <div class="flex items-center justify-between mb-3">
                            <h3 class="text-lg font-medium text-emerald-300">Interactive Dashboards</h3>
                            <button class="copy-btn px-3 py-1 bg-emerald-600 hover:bg-emerald-700 text-white text-xs rounded transition-colors duration-200 flex items-center space-x-1" data-target="dash-code">
                                <svg class="w-3 h-3" fill="none" stroke="currentColor" viewBox="0 0 24 24">
                                    <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M8 16H6a2 2 0 01-2-2V6a2 2 0 012-2h8a2 2 0 012 2v8a2 2 0 01-2 2h-2m-6-4l2 2m0 0l2-2m-2 2V10"></path>
                                </svg>
                                <span>Copy</span>
                            </button>
                        </div>
                        <textarea
                            id="dash-code"
                            rows="20"
                            class="w-full px-3 py-2 bg-slate-800/50 border border-slate-600 rounded text-gray-200 font-mono text-sm resize-none"
                            readonly
                        >import dash
from dash import dcc, html, Input, Output
import plotly.express as px
import pandas as pd
import numpy as np

# Create sample data
np.random.seed(42)
dates = pd.date_range('2020-01-01', '2023-12-31', freq='D')
data = pd.DataFrame({
    'date': dates,
    'value': np.cumsum(np.random.randn(len(dates)) * 0.1) + 100,
    'category': np.random.choice(['A', 'B', 'C'], len(dates))
})

# Initialize Dash app
app = dash.Dash(__name__)

# Define app layout
app.layout = html.Div([
    html.H1("Interactive Dashboard", style={'textAlign': 'center'}),

    html.Div([
        dcc.Dropdown(
            id='category-dropdown',
            options=[{'label': cat, 'value': cat} for cat in data['category'].unique()],
            value='A',
            style={'width': '50%'}
        )
    ], style={'padding': '20px'}),

    dcc.Graph(id='time-series-plot'),

    html.Div([
        dcc.Graph(id='histogram-plot')
    ], style={'display': 'flex'})
])

# Define callbacks
@app.callback(
    [Output('time-series-plot', 'figure'),
     Output('histogram-plot', 'figure')],
    [Input('category-dropdown', 'value')]
)
def update_plots(selected_category):
    # Filter data
    filtered_data = data[data['category'] == selected_category]

    # Time series plot
    fig1 = px.line(filtered_data, x='date', y='value',
                  title=f'Time Series for Category {selected_category}')

    # Histogram
    fig2 = px.histogram(filtered_data, x='value',
                       title=f'Distribution for Category {selected_category}')

    return fig1, fig2

# Run the app
if __name__ == '__main__':
    app.run_server(debug=True, port=8050)

# Simple dashboard with multiple charts
app2 = dash.Dash(__name__)

app2.layout = html.Div([
    html.H1("Multi-Chart Dashboard"),

    html.Div([
        dcc.Graph(
            id='scatter-plot',
            figure=px.scatter(data, x='date', y='value', color='category')
        )
    ]),

    html.Div([
        dcc.Graph(
            id='box-plot',
            figure=px.box(data, x='category', y='value')
        )
    ])
])

if __name__ == '__main__':
    app2.run_server(debug=True, port=8051)</textarea>
                    </div>
                </div>

                <!-- Quick Reference Section -->
                <div class="mt-8 p-4 bg-slate-700/30 rounded-lg border border-slate-600/50">
                    <h3 class="text-lg font-semibold text-emerald-400 mb-3">Quick Reference</h3>
                    <div class="grid grid-cols-1 md:grid-cols-2 gap-4 text-sm">
                        <div>
                            <p class="text-gray-300 font-medium mb-2">Key Modules:</p>
                            <ul class="text-gray-400 space-y-1">
                                <li>• <code>plotly.graph_objects</code> - Low-level API</li>
                                <li>• <code>plotly.express</code> - High-level API</li>
                                <li>• <code>plotly.offline</code> - Offline plotting</li>
                                <li>• <code>dash</code> - Web applications</li>
                                <li>• <code>plotly.io</code> - I/O operations</li>
                            </ul>
                        </div>
                        <div>
                            <p class="text-gray-300 font-medium mb-2">Common Chart Types:</p>
                            <ul class="text-gray-400 space-y-1">
                                <li>• <code>px.line()</code> - Line charts</li>
                                <li>• <code>px.scatter()</code> - Scatter plots</li>
                                <li>• <code>px.bar()</code> - Bar charts</li>
                                <li>• <code>px.pie()</code> - Pie charts</li>
                                <li>• <code>go.Heatmap()</code> - Heatmaps</li>
                                <li>• <code>go.Surface()</code> - 3D surfaces</li>
                            </ul>
                        </div>
                    </div>
                </div>

            </div>
        </div>

        </div>
    </div>

    <!-- Sidebar Scripts -->

    <!-- Include Final Sidebar -->
    <div id="sidebar-container"></div>
    <script>
        // Load final_sidebar.html content
        fetch('final_sidebar.html')
            .then(response => response.text())
            .then(html => {
                document.getElementById('sidebar-container').innerHTML = html;
            })
            .catch(error => {
                console.error('Error loading sidebar:', error);
            });
    </script>
</body>
</html>