# Plotly 1 Javascript Implementation
> Sub-skill of plotly: 1. JavaScript Implementation (+1).
- Skill: `vamseeachanta/plotly-1-javascript-implementation` (Agent Skill)
- Install (CLI): `npx skillmds@latest add vamseeachanta/plotly-1-javascript-implementation`
- Raw SKILL.md: https://api.skillmd.com/api/skills/vamseeachanta/plotly-1-javascript-implementation/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: vamseeachanta (https://skillmd.com/u/vamseeachanta)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/vamseeachanta/plotly-1-javascript-implementation
---
# 1. JavaScript Implementation (+1)
## 1. JavaScript Implementation
#### Basic Line Chart
```html
```
#### Multiple Traces
```javascript
const trace1 = {
x: [1, 2, 3, 4, 5],
y: [1, 6, 3, 6, 8],
type: 'scatter',
mode: 'lines',
name: 'Series 1'
};
const trace2 = {
x: [1, 2, 3, 4, 5],
y: [5, 1, 6, 9, 2],
type: 'scatter',
mode: 'lines+markers',
name: 'Series 2'
};
const layout = {
title: 'Multi-Series Chart',
showlegend: true,
legend: { x: 1, y: 1 }
};
Plotly.newPlot('chart', [trace1, trace2], layout);
```
## 2. Python Implementation
#### Quick Start with Plotly Express
```python
import plotly.express as px
import pandas as pd
# Load data from CSV
df = pd.read_csv('../data/processed/results.csv')
# Create interactive scatter plot
fig = px.scatter(
df,
x='time',
y='value',
color='category',
size='magnitude',
hover_data=['additional_info'],
title='Interactive Analysis Results'
)
# Customize layout
fig.update_layout(
template='plotly_white',
hovermode='x unified',
height=600,
font=dict(size=12)
)
# Save as HTML
fig.write_html('../reports/analysis_plot.html')
# Or display in Jupyter
fig.show()
```
#### Plotly Graph Objects (More Control)
```python
import plotly.graph_objects as go
import pandas as pd
df = pd.read_csv('../data/processed/timeseries.csv')
fig = go.Figure()
# Add trace
fig.add_trace(go.Scatter(
x=df['date'],
y=df['value'],
mode='lines+markers',
name='Value',
line=dict(color='rgb(55, 128, 191)', width=2),
marker=dict(size=8, color='rgb(219, 64, 82)'),
hovertemplate='Date: %{x}
' +
'Value: %{y:.2f}
' +
''
))
# Update layout
fig.update_layout(
title='Time Series Analysis',
xaxis_title='Date',
yaxis_title='Value',
template='plotly_dark',
hovermode='x unified'
)
fig.write_html('../reports/timeseries.html')
```