visualize

name	visualize
description	Generate charts and visualizations: line, bar, scatter, heatmap, candlestick. Output as PNG/SVG for Telegram or web.
category	data
maturity	stable
tags	["charts","matplotlib","candlestick","csv","plotting"]

visualize

Generate charts and visualizations: line, bar, scatter, heatmap, candlestick. Output as PNG/SVG for Telegram or web.

When to Use

• Creating charts from CSV/JSON data
• Visualizing trends and time series
• Generating report graphics
• Plotting comparisons (bar, grouped bar)
• Creating candlestick/OHLC charts for financial data
• Quick one-off plots from data files

Scripts

Script	Purpose	Usage
chart.py	Full-featured chart generator	python3 chart.py data.csv --type line --x date --y price -o chart.png
quick-plot.py	Minimal CSV → PNG	python3 quick-plot.py data.csv bar -o plot.png
candlestick.py	OHLC/candlestick charts	python3 candlestick.py ohlc.csv -o candle.png

Examples

# Line chart
python3 scripts/chart.py sales.csv --type line --x month --y revenue -o revenue.png

# Bar chart with title
python3 scripts/chart.py data.csv --type bar --x category --y count --title "Items by Category" -o items.png

# Quick scatter plot
python3 scripts/quick-plot.py measurements.csv scatter -o scatter.png

# Candlestick
python3 scripts/candlestick.py btc_daily.csv --title "BTC/USD" -o btc.png

# Multiple Y columns
python3 scripts/chart.py data.csv --type line --x date --y "col1,col2" -o multi.png

References

• references/chart-guide.md — Which chart type for which data
• references/color-palettes.md — Color schemes
• references/recipes.md — Common chart recipes

Dependencies

• Python 3
• matplotlib (sudo apt install python3-matplotlib or pip3 install matplotlib)