Skip to main content

Pediatric Growth Chart Analyzer

Project description

GrowthCharts is a pediatric growth chart analyzer for infants (0–2 years) and children (2–20 years).
It provides Z-score calculation, percentiles, and growth chart visualization based on CDC growth standards.


Installation

Install from PyPI (once uploaded):

pip install growthcharts
Or install locally for development:

pip install -e .
Requirements:

pandas

matplotlib

scipy

Quickstart
Infant example (0–24 months)
from growthcharts import Infant

# Create an Infant object
baby = Infant(sex='m', age=6, wt=7.5, length=65.0, hc=42.0)

# Plot growth charts
baby.plot_wtage(title="Weight-for-Age")
baby.plot_lenageinf(title="Length-for-Age")
baby.plot_hcageinf(title="Head Circumference-for-Age")
baby.plot_wtleninf(title="Weight-for-Length")

# Calculate Z-scores and percentiles
print(baby.analyze_wtageinf())   # Example output: {'Z': -0.23, 'Percentile': 41.0}
print(baby.analyze_lenageinf())  # Example output: {'Z': 0.12, 'Percentile': 55.0}
print(baby.analyze_hcageinf())   # Example output: {'Z': 0.30, 'Percentile': 62.0}
print(baby.analyze_wtleninf())   # Example output: {'Z': -0.15, 'Percentile': 44.0}
Child example (2–20 years)
from growthcharts import Child

# Create a Child object
child = Child(sex='f', age=36, wt=15.5, length=95.0)

# Plot growth charts
child.plot_wtage(title="Weight-for-Age")
child.plot_lenage(title="Height-for-Age")
child.plot_bmiage(title="BMI-for-Age")

# Calculate Z-scores and percentiles
print(child.analyze_wtage())  # Example output: {'Z': 0.12, 'Percentile': 55.0}
print(child.analyze_lenage())  # Example output: {'Z': -0.08, 'Percentile': 47.0}
print(child.analyze_bmiage())  # Example output: {'Z': 0.05, 'Percentile': 52.0}
Classes
Patient
Base class storing sex, age, weight, and length.

Calculates BMI if both weight and length are provided.

Infant(Patient)
Handles infants 0–24 months:

Plotting methods: plot_wtage, plot_lenageinf, plot_hcageinf, plot_wtleninf

Analysis methods: analyze_wtageinf, analyze_lenageinf, analyze_hcageinf, analyze_wtleninf

Child(Patient)
Handles children 2–20 years:

Plotting methods: plot_wtage, plot_lenage, plot_bmiage

Analysis methods: analyze_wtage, analyze_lenage, analyze_bmiage

Data
CSV data files for growth standards are included with the package under the data/ folder.

Infant: wtageinf.csv, lenageinf.csv, hcageinf.csv, wtleninf.csv

Child: wtage.csv, lenage.csv, bmiage.csv

These are loaded automatically by the classes and do not need separate downloading.

## License

This project is licensed under the MIT License. 

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

growthcharts-0.1.0.tar.gz (124.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

growthcharts-0.1.0-py3-none-any.whl (124.4 kB view details)

Uploaded Python 3

File details

Details for the file growthcharts-0.1.0.tar.gz.

File metadata

  • Download URL: growthcharts-0.1.0.tar.gz
  • Upload date:
  • Size: 124.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.2

File hashes

Hashes for growthcharts-0.1.0.tar.gz
Algorithm Hash digest
SHA256 c88596e8b842bca67af23f3f3e82e854df57f86e4ac4f20d0a5c3ab528ea0493
MD5 57501527970eafc9aaa6fa160821b50c
BLAKE2b-256 98b6cf0d4d33b229d07cdee4be97e634006d673bd615753c6938df1494e7d031

See more details on using hashes here.

File details

Details for the file growthcharts-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: growthcharts-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 124.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.2

File hashes

Hashes for growthcharts-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 6ecd3c3e1830b84cb7727ce967eaa158995e8122e161f8e700d442184ceb1c93
MD5 9e346c411c73226dc12a2f16f5e6c650
BLAKE2b-256 f0f857754d6ef190645259009d41702eb7893b67cacc569345a87b2a6c35940c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page