# Density PDF
Evaluation of univariate density functions defined in the `density` package.
## Install
pip install densitypdf
## Usage
from densitypdf import density_pdf
# Example mixture with one scipy normal and one builtin normal
mixture_spec = {
"type": "mixture",
"components": [
{
"density": {
"type": "scipy",
"name": "norm",
"params": {"loc": 0, "scale": 1}
},
"weight": 0.6
},
{
"density": {
"type": "builtin",
"name": "norm",
"params": {"loc": 2.0, "scale": 1.0}
},
"weight": 0.4
}
]
}
val = density_pdf(mixture_spec, x=0.0)
The `builtin` options are replacements for scipy.stats distributions should you wish to use them.
## Specifying densities or mixtures of the same
One is limited to a finite set of continuous distributions, and mixtures of the same.
See [examples](https://github.com/microprediction/density/tree/main/examples) of specifying densities.
See the [Scipy manifest](https://github.com/microprediction/density/blob/main/density/schemachecker/scipydensitymanifest.py) for a list of densities.
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