Tools for analysis with DoseNet's open access data.
Everything here works right out of the box! You can see correlations between data, and as a bonus, the visualizations are beautiful too.
In order to do your own binning, however, you need to download the data from
the DoseNet downloads page
and select Etcheverry Roof from the dropdown menu. If you want to get data
from another source, you will have to change a lot of filenames in the Ipython
Notebooks. We might come up with a cleaner solution later on. Once you have
downloaded the data, you can manually run the time_binning.py
script with the necessary parameters, as follows:
python time_binning.py [optional arguments] <source>
where source can be a URL or file on your computer that refers to a .csv file
from where you want to bin your data. Type python time_binning.py -h to see the
full list of options.
However, I would strongly recommend you to use multi_bin.py, which
automates the process of binning over different intervals of time and over multiple
files or URLs. It works using Python's built-in os.system
function. So it is MUCH more readable and beginner-friendly than an ordinary Bash script,
and it might even work on Windows (unlike bash scripts). The script has adequately good
documentation in its docstrings, and is pretty intuitive even for beginners, so
feel free to check it out and make modifications to it to suit your use-case!