rebyteai-template/rebyte-skills362 installs
echarts
Knowledge about pyecharts chart creation, HTML report generation, and visualization best practices
How do I install this agent skill?
npx skills add https://github.com/rebyteai-template/rebyte-skills --skill echartsIs this agent skill safe to install?
- Gen Agent Trust Hubpass
This skill provides standard templates and best practices for using the pyecharts library to generate data visualizations and HTML reports. No malicious behavior or security risks were detected.
- Socketpass
No alerts
- Snykpass
Risk: LOW · No issues
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What does this agent skill do?
ECharts Skill
Technology Stack
- pyecharts: Python wrapper for Apache ECharts
- Apache ECharts: JavaScript charting library
- Output: Self-contained HTML with embedded JS
Chart Types Reference
Bar Charts
from pyecharts.charts import Bar
from pyecharts import options as opts
chart = Bar()
chart.add_xaxis(labels)
chart.add_yaxis("Series Name", values)
chart.set_global_opts(
title_opts=opts.TitleOpts(title="Chart Title"),
tooltip_opts=opts.TooltipOpts(trigger="axis"),
xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(rotate=45)),
)
Line Charts
from pyecharts.charts import Line
chart = Line()
chart.add_xaxis(dates)
chart.add_yaxis("Actual", values, is_smooth=True)
chart.add_yaxis("7-Day MA", moving_avg_7, is_smooth=True, linestyle_opts=opts.LineStyleOpts(type_="dashed"))
Pie Charts
from pyecharts.charts import Pie
chart = Pie()
chart.add("", list(zip(labels, values)))
chart.set_global_opts(legend_opts=opts.LegendOpts(orient="vertical", pos_left="left"))
Heatmaps
from pyecharts.charts import HeatMap
chart = HeatMap()
chart.add_xaxis(x_labels)
chart.add_yaxis("", y_labels, value=[[x, y, val], ...])
chart.set_global_opts(
visualmap_opts=opts.VisualMapOpts(min_=0, max_=max_val),
)
Scatter Plots (for anomalies)
from pyecharts.charts import Scatter
chart = Scatter()
chart.add_xaxis(dates)
chart.add_yaxis("Cost", costs, symbol_size=10)
# Add anomaly markers with different color/size
Critical: Browser Compatibility
Always convert to lists for JavaScript:
# CORRECT
chart.add_xaxis(df['column'].tolist())
chart.add_yaxis("Label", df['values'].tolist())
# WRONG - causes rendering issues
chart.add_xaxis(df['column'].values) # numpy array
chart.add_xaxis(df['column']) # pandas Series
Theme Options
Available themes in pyecharts:
macarons(default) - Colorful, professionalshine- Bright colorsroma- Muted, elegantvintage- Retro feeldark- Dark backgroundlight- Light, minimal
Usage:
from pyecharts.globals import ThemeType
chart = Bar(init_opts=opts.InitOpts(theme=ThemeType.MACARONS))
HTML Report Structure
def generate_html_report(self, output_path: str, top_n: int = 10) -> str:
# Create all charts
charts = [
self.create_cost_by_service_chart(top_n),
self.create_cost_by_account_chart(),
# ... more charts
]
# Combine into page
page = Page(layout=Page.SimplePageLayout)
for chart in charts:
page.add(chart)
# Render to file
page.render(output_path)
return output_path
Formatting Numbers
# Currency formatting in tooltips
tooltip_opts=opts.TooltipOpts(
trigger="axis",
formatter="{b}: ${c:,.2f}"
)
# Axis label formatting
yaxis_opts=opts.AxisOpts(
axislabel_opts=opts.LabelOpts(formatter="${value:,.0f}")
)
Common Issues & Solutions
Empty Charts
- Check browser console for JS errors
- Verify
.tolist()on all data - Hard refresh (Ctrl+Shift+R)
- Check data exists in HTML source
Chart Too Small
init_opts=opts.InitOpts(width="100%", height="400px")
Labels Overlapping
xaxis_opts=opts.AxisOpts(
axislabel_opts=opts.LabelOpts(rotate=45, interval=0)
)
Legend Too Long
legend_opts=opts.LegendOpts(
type_="scroll",
orient="horizontal",
pos_bottom="0%"
)
Testing Visualizations
# Test chart creation
uv run pytest tests/test_visualizer.py -v
# Regenerate example report
uv run pytest tests/test_examples.py -v -s
# View in browser
open examples/example_report.html
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/rebyteai-template/rebyte-skills/echarts">View echarts on skillZs</a>