physt 0.1.0

P(i/y)thon h(i/y)stograms.

# physt

P(i/y)thon h(i/y)stograms. Inspired (and based on) numpy.histogram, but designed for humans(TM) on steroids(TM).

The goal is to unify different concepts of histograms as occurring in numpy, pandas, matplotlib, ROOT, etc.
and to create one representation that is easily manipulated with from the data point of view and at the same time provides
nice integration into IPython notebook and various plotting options. In short, whatever you want to do with histograms,
**physt** aims to be at your side.

## Simple example

```python
from physt import histogram

heights = [160, 155, 156, 198, 177, 168, 191, 183, 184, 179, 178, 172, 173, 175,
172, 177, 176, 175, 174, 173, 174, 175, 177, 169, 168, 164, 175, 188,
178, 174, 173, 181, 185, 166, 162, 163, 171, 165, 180, 189, 166, 163,
172, 173, 174, 183, 184, 161, 162, 168, 169, 174, 176, 170, 169, 165]

hist = histogram(heights, 10)
hist.plot()
```


See more in <https://github.com/janpipek/physt/blob/master/doc/Tutorial.ipynb>

## Installation

`pip install physt`

## Features

### Implemented

* 1D histograms
* Input: any numpy-array-like object
* Keep underflow / overflow
* Basic numeric operations (* / + -)
* Items / slice selection (including mask arrays)
* Add new values (fill)
* Cumulative values, densities
* Simple plotting (matplotlib)

### Planned

* Algorithms for optimized binning
- human-friendly
- mathematical
* Rebinning
- using reference to original data
- merging bins
* Statistics (based on original data)?
* Stacked histograms (with names)
* Input: pandas.Series, pandas.DataFrame, ...
* More plotting backends
* 2D histograms, (ND)-histograms