semvec/pypi-packages huggingface dataset:
nttpipeline 0.1
A python package and command-line tools to A command-line data-reduction pipeline for the NTT EFOSC and SOFI instruments
License: MIT
Keywords: ntt, astronomy, efosc, sofi, pessto, pipeline

nttpipeline
===========================

A python package and command-line tools to *A command-line data-reduction pipeline for the NTT EFOSC and SOFI instruments*.

Installation
------------

The easiest way to install nttpipeline is to use
``pip``:

``bash pip install nttpipeline``

Or you can clone this repo and install from a local version of the code:

``bash git clone git@github.com:thespacedoctor/nttpipeline.git cd nttpipeline python setup.py install``

Development
-----------

If you want to tinker with the code, then install in development mode.
This means you can modify the code from your cloned repo:

``bash git clone git@github.com:thespacedoctor/nttpipeline.git cd nttpipeline python setup.py develop``

`Pull
requests <https://github.com/thespacedoctor/nttpipeline/pulls>`__
are welcomed!

Issues
------

Please report any issues
`here <https://github.com/thespacedoctor/nttpipeline/issues>`__.

License
-------

Copyright (c) 2016 David Young

Permission is hereby granted, free of charge, to any person obtaining a
copy of this software and associated documentation files (the
"Software"), to deal in the Software without restriction, including
without limitation the rights to use, copy, modify, merge, publish,
distribute, sublicense, and/or sell copies of the Software, and to
permit persons to whom the Software is furnished to do so, subject to
the following conditions:

The above copyright notice and this permission notice shall be included
in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
groupbytime 0.3.2
Convenience functions for grouping datetimes in pandas
License: MIT
Keywords: pandas groupby datetime timestamp

# groupby

Convenience functions for grouping datetimes in [pandas](http://www.github.com/pydata/pandas).

## Requirements

* [numpy](http://www.github.com/numpy/numpy)
* [pandas](http://www.github.com/pydata/pandas)

## Examples
```python
import groupbytime
import matplotlib.pyplot as plt
grouped = groupbytime.groupby_times(df, 'weekly')
weekly_mean = grouped.mean()

# plotting timedeltas doesn't really work in pandas so this helps
import matplotlib.pyplot as plt
grouped.plot_timedelta(weekly_mean)
```
pyipinfo 0.1.2
ipinfo.io in the command line
License: MIT

========
pyipinfo
========

.. image:: https://travis-ci.org/juanpabloaj/pyipinfo.svg?branch=master
    :target: https://travis-ci.org/juanpabloaj/pyipinfo

Use `ipinfo.io <https://ipinfo.io/>`_ from the command line.

Usage
=====

Information of local ip

.. code-block:: bash

    ipinfo

Information of one ip

.. code-block:: bash

    echo "ip" | ipinfo

Information of each ip in a file or output pipe

.. code-block:: bash

    cat requests.log | ipinfo

Installation
============

.. code-block:: bash

    pip install pyipinfo