A Python script to visualize blood pressure data.
BP Diag parses blood preasure statistics from data files, generates some statistics and prints them to STDERR. You can export the data (and the gathered statistics) to JSON (dump to STDOUT). And you can also generate SVG or PNG charts from it.
To see a list of possible command line options run:
Lets say we got a file called bp.csv containing the following values:
136/83/65, 132/82/70 144/82/86, 137/81/75, -, 143/80/68 131/82/60, 144/82/64, 136/79/67, 140/80/62 136/83/68, 138/80/99, -, 133/74/65 136/79/67, 131/76/64, 135/81/72, 136/75/61 127/79/72
BP Diag first tries to split multiple entries on each line using the string given with the --delimiter option (default is ,). Each entry found is then split into sys, dia and pulse values with the string given with the --seperator option (default: /).
So if we run BP Diag on the file like this bpdiag.py bp.csv, we got the following results:
Read 17 value(s) from 1 file(s)... Statistics (min, max, avg): :: SYS...: 127, 144, 136 :: DIA...: 74, 83, 79 :: PULSE.: 60, 99, 69
As you see parsing errors are ignored. We can dump JSON with the --json option. Only the JSON dump is written to STDOUT, other output goes to STDERR, so we can redirect the dump to a file (use --compact to prevent spaces after , and :):
bpdiag.py --json --compact bp.csv > bp.json
The file bp.json will then contain one long line with the JSON data. You can also dump the statistic gatherd from the data to JSON with the --json- stats option. Use the --sort and --indent 2 options if you want a more readable output.
To generate SVG charts, you need to have PyGal installed (see below). Other than that, just use the --chart option to have a chart called bp.svg generated in your current directory. There are more options to this, take a look at the --help output.
Instead of the interactive SVG charts you can use PNG as output format. Just use the --png option along with --chart. You need a couple more dependencies for that though, take a look below.
Per default all values are gathered one after the other and parsing errors are ignored. But you can use the --entries option to set a fixed number of measurements per line.
What this means is that only that much values are used per line (even if there are more) and if a line contains less than entries values, the remaining ones are filled with None values. Also values that conatin - (or any other combination of characters that does not parse to a three integer tuple) are not ignored but stored as a None value too.
This can be helpful in cases where you have a given number of measurements per line and you want to keep them aligned even if sometimes a measurement is skipped / missing.:
bpdiag.py --json --compact --entries 4 bp.csv
Will result in the following JSON:
You can install BP Diag with pip or from source.
pip install --user bpdiag
You can fetch the latest sourceball from github and unpack it, or just clone this repository: git clone git://github.com/brutus/bpdiag. If you got the source, change into the directory and use setup.py:
python setup.py install
pip install --user pygal
pip install --user CairoSVG tinycss cssselect