# materials

**Repository Path**: mirrors_lepy/materials

## Basic Information

- **Project Name**: materials
- **Description**: Density, magnetic permeability etc. for a range of materials.
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-09-25
- **Last Updated**: 2026-03-08

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# materials

[![Build Status](https://travis-ci.org/nschloe/materials.svg?branch=master)](https://travis-ci.org/nschloe/materials)
[![codecov](https://codecov.io/gh/nschloe/materials/branch/master/graph/badge.svg)](https://codecov.io/gh/nschloe/materials)
[![PyPi Version](https://img.shields.io/pypi/v/materials.svg)](https://pypi.python.org/pypi/materials)
[![GitHub stars](https://img.shields.io/github/stars/nschloe/materials.svg?style=social&label=Star&maxAge=2592000)](https://github.com/nschloe/materials)

materials is a database of physical and chemical data, possibly with
temperature dependence, of various more or less common materials. All data are
given in SI units.

For example, to plot the density of various materials between 274 and 370 K
you can do
```python
import materials
import matplotlib.pyplot as plt
import numpy


T = numpy.linspace(274.0, 370.0, num=100)

rho_air = materials.air.density(T)
rho_argon = materials.argon.density(T)
rho_copper = materials.copper.density(T)
rho_water = materials.water.density(T)

plt.semilogy(T, rho_copper, label='copper')
plt.semilogy(T, rho_water, label='water')
plt.semilogy(T, rho_argon, label='argon')
plt.semilogy(T, rho_air, label='air')

plt.title('densities')
plt.xlabel('temperature (K)')
plt.ylabel('density (kg/m^3)')
plt.legend()

plt.show()
```

![](https://nschloe.github.io/materials/density.png)


### Installation

materials is [available from the Python Package
Index](https://pypi.python.org/pypi/materials/), so simply type
```
pip install -U materials
```
to install or upgrade.

### Testing

To run the materials unit tests, check out this repository and type
```
pytest
```

### Distribution

To create a new release

1. bump the `__version__` number,

2. publish to PyPi and GitHub:
    ```
    make publish
    ```

### License

materials is published under the [MIT license](https://en.wikipedia.org/wiki/MIT_License).