Fixes for the setup and binning function

Version 0.10.1 broke the bin_runs function, now fixed.

Also dateutil was an install time requirement because of how we defined the version, also fixed now.

TriggerTypes and fixes

• Add Trigger types to the instrument module
• Add missing dependency datetutil in setup.py
• Fix a bug in to_native_byteorder that broke DataFrames if used on bytes

Fix setup.py of v0.10.1

The instrument module was missing in the setup.py

More analysis tools, restructured instrument module

We now have functions that take a dataframe of events and a dataframe of run metadata and calculate summaries like on events, off events, excess rate and lima significance for each run.

The instrument module got restructered.

Two fixes for `fact.io.read_h5py` and `fact.plotting.pixelids`

• fact.plotting.pixelids was broken in #21, because the function returned pd.Series objects instead of np.arrays

• fix reading of strings into dataframes for h5py

Docs, h5py fixes

• Publish sphinx docs to github pages
• Allow setting the mode for the read_h5py function.

Fixes for write_data

This fixes bugs in write_data, a wrong keyword argument and adds the possibility to forawards keyword arguments to the underlying functions.

Write h5py hdf5 files

This release adds fact.io.to_h5py to write pandas dataframes to hdf5 using h5py.

It also changes the default key for all functions to "data"

Add io module

We have now some io utility functions to read and write data in the most commonly used data formats in fact into and from pandas dataframes

pyfact 0.8.6 – More peewee model utils

• Add functions fact.factdb.get_correct_ontime and fact.factdb.utils.read_into_dataframe