minerals-viz

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Generate charts (PNG/SVG) for critical minerals data — production, trade, import reliance, and time series

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Minerals Visualization

Generate publication-quality charts for critical minerals data using the cmm_data visualizations module. Supports world production bar charts, production time series, import reliance charts, and multi-commodity comparisons.

Usage

World production chart:

python3 {baseDir}/scripts/generate_chart.py --chart-type production --commodity lithi

Time series:

python3 {baseDir}/scripts/generate_chart.py --chart-type timeseries --commodity cobal

Import reliance:

python3 {baseDir}/scripts/generate_chart.py --chart-type import-reliance --commodity raree

Custom output:

python3 {baseDir}/scripts/generate_chart.py --chart-type production --commodity lithi --output lithium_prod.png --format png

Parameters

Parameter	Description	Default
`--chart-type`	Chart type: production, timeseries, import-reliance	Required
`--commodity`	USGS commodity code (e.g., lithi, cobal, raree, graph, nicke)	Required
`--output`	Output file path	auto-generated
`--format`	Image format: png, svg	png
`--top-n`	Number of countries in production chart	10

Chart Types

Type	Description	Data Source
`production`	Horizontal bar chart of top producers	USGS world production
`timeseries`	Line chart of production over time	USGS salient statistics
`import-reliance`	NIR bar chart with threshold line	USGS salient statistics

USGS Commodity Codes

Code	Commodity	Code	Commodity
`lithi`	Lithium	`cobal`	Cobalt
`raree`	Rare Earths	`graph`	Graphite
`nicke`	Nickel	`manga`	Manganese
`galli`	Gallium	`germa`	Germanium
`coppe`	Copper	`tungs`	Tungsten

Examples

# Lithium top producers
python3 {baseDir}/scripts/generate_chart.py --chart-type production --commodity lithi --top-n 10

# Cobalt production time series
python3 {baseDir}/scripts/generate_chart.py --chart-type timeseries --commodity cobal --output cobalt_trend.png

# Rare earth import reliance (SVG)
python3 {baseDir}/scripts/generate_chart.py --chart-type import-reliance --commodity raree --format svg

Notes

Requires matplotlib (install with: pip install matplotlib)
USGS data files must be present in cmm-data data directory
Output defaults to current directory with auto-generated filename
SVG format recommended for publications and reports
For raw data access, use the minerals-data skill