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توضیحات

A Python script to visualize blood pressure data.

ویژگی	مقدار
سیستم عامل	-
نام فایل	bpdiag-0.5
نام	bpdiag
نسخه کتابخانه	0.5
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Brutus
ایمیل نویسنده	brutus.dmc@googlemail.com
آدرس صفحه اصلی	https://github.com/brutus/bpdiag/
آدرس اینترنتی	https://pypi.org/project/bpdiag/
مجوز	LICENSE.txt

======= BP Diag ======= **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:: bpdiag.py --help Examples ======== 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 Dump JSON --------- 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. Generate Charts --------------- 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. Number of measurements per line ------------------------------- 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:: [[136,83,65],[132,82,70],null,null,[144,82,86],[137,81,75],null,[143,80,68],[131,82,60],[144,82,64],[136,79,67],[140,80,62],[136,83,68],[138,80,99],null,[133,74,65],[136,79,67],[131,76,64],[135,81,72],[136,75,61],[127,79,72],null,null,null] Install ======= You can install **BP Diag** with pip_ or from source. Install with pip ---------------- pip_ is "*a tool for installing and managing Python packages*". If you don't have it installed, see the `pip install instructions`_:: pip install --user bpdiag Install from source ------------------- 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 Dependencies ============ PyGal_ is used to generate the charts. If you want to generate charts, you need to install it. With pip_ it's as easy as this:: pip install --user pygal If you want to export to PNG files, you need CairoSVG_, tinycss_ and cssselect_ too. You can install them like this:: pip install --user CairoSVG tinycss cssselect Bugs and Contribution ====================== **BP Diag** is at home at: https://github.com/brutus/bpdiag/ If you find any bugs, issues or anything, please use the `issue tracker`_. .. _home: https://github.com/brutus/bpdiag/ .. _sourceball: https://github.com/brutus/bpdiag/zipball/master .. _`issue tracker`: https://github.com/brutus/bpdiag/issues .. _pip: http://www.pip-installer.org/en/latest/index.html .. _`pip install instructions`: http://www.pip-installer.org/en/latest/installing.html .. _PyGal: http://pygal.org/ .. _CairoSVG: http://cairosvg.org/ .. _tinycss: http://packages.python.org/tinycss/ .. _cssselect: http://packages.python.org/cssselect/

نحوه نصب

نصب پکیج whl bpdiag-0.5:

pip install bpdiag-0.5.whl

نصب پکیج tar.gz bpdiag-0.5:

pip install bpdiag-0.5.tar.gz