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# pyerrors # pyerrors
pyerrors is a python package for error computation and propagation of Markov Chain Monte Carlo data. pyerrors is a python package for error computation and propagation of Markov Chain Monte Carlo data.
It is based on the gamma method [arXiv:hep-lat/0306017](https://arxiv.org/abs/hep-lat/0306017). Some of its features are: It is based on the gamma method [arXiv:hep-lat/0306017](https://arxiv.org/abs/hep-lat/0306017). Some of its features are:
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- [Python 3](https://github.com/mbruno46/pyobs) - [Python 3](https://github.com/mbruno46/pyobs)
## Installation ## Installation
pyerrors requires python versions >= 3.5.0
Install the package for the local user: Install the package for the local user:
```bash ```bash
pip install . --user pip install . --user
``` ```
Run tests to verify the installation:
```bash
pytest .
```
## Usage ## Usage
The basic objects of a pyerrors analysis are instances of the class `Obs`. They can be initialized with an array of Monte Carlo data (e.g. `samples1`) and a name for the given ensemble (e.g. `'ensemble1'`). The `gamma_method` can then be used to compute the statistical error, taking into account autocorrelations. The `print` method outputs a human readable result. The basic objects of a pyerrors analysis are instances of the class `Obs`. They can be initialized with an array of Monte Carlo data (e.g. `samples1`) and a name for the given ensemble (e.g. `'ensemble1'`). The `gamma_method` can then be used to compute the statistical error, taking into account autocorrelations. The `print` method outputs a human readable result.
```python ```python