This is mainly meant to navigate in the forest of directories where LabRad saves the data. It has some data fitting capabilities

Required packages: treedict, pylab, numpy

In order to find the files it is best to add an environment variable DV_PATH. The easiest way to do this under linux is to add following line into your .bashrc

export DV_PATH="/path/to/your/datavault/"

It is also convenient to add simple analysis to your PYTHONPATH

export PYTHONPATH="/path-to-simpleanalysis/"

# Import the get_data module:

>>>> import simple_analysis.get_data as gd

# Analyze a day full of measurements

>>>> md = gd.MeasDay('2015Mar17')

# Let's see what data files we have:

>>>> print md.file_list

# Load a single file:

>>>> time_str = '2107_26'
>>>> md.read_file(time_str)

# Plot a dataset

>>>> md.plot_file(time_str)


# Have a look at the saved parameters

>>>> md.param_dict[time_str].keys()

There are a couple of old fitting routines in the module fitdata. To get an overview type:

import simple_analysis.fitdata as fd
help(fd)

The module fit_heating is based on fit_data and fits a heating rate to multiple spectra of the blue and red sideband.

A newer fitting class is called datafit. It is based on the lmfit class. See the file heatingraby.py for fitting heating rates to Rabi flops.