sample_median - bruno-beloff/scs_analysis GitHub Wiki
docs > software repositories > scs_analysis > commands > filtering and aggregating data
DESCRIPTION
The sample_median utility provides a median filter - the filter maintains an odd-numbered window on the input data sequence, and outputs the middle item in the sorted list of items. The user can specify the size of the window.
Input data is typically in the form of a JSON document. A command parameter specifies the path to the node within the document that is to be filtered. The node is typically a leaf node integer or float. The output of the sample_median utility includes the source value, and the smoothed value.
SYNOPSIS
sample_median.py [-w SIZE] [-p PRECISION] [-v] [PATH]
| Options | |
|---|---|
| --version | show program's version number and exit |
| -h, --help | show this help message and exit |
| --w WINDOW, --window=WINDOW | window size (must be an odd number, default 3) |
| --p PRECISION, --prec=PRECISION | precision (default 0 decimal places) |
| -v, --verbose | report narrative to stderr |
EXAMPLES
aws_topic_history.py -m60 /orgs/south-coast-science-demo/brighton/loc/1/gases | ./sample_median.py -w 3 -p 1 val.CO.cnc
DOCUMENT EXAMPLE - INPUT
{"tag": "scs-bgx-401", "rec": "2018-03-27T09:54:41.042+00:00", "val": {"NO2": {"weV": 0.29563, "aeV": 0.280879, "weC": 0.009569, "cnc": 61.0}, "Ox": {"weV": 0.406819, "aeV": 0.387443, "weC": -0.010706, "cnc": 34.7}, "NO": {"weV": 0.319692, "aeV": 0.292129, "weC": 0.028952, "cnc": 165.5}, "CO": {"weV": 0.395819, "aeV": 0.289317, "weC": 0.113108, "cnc": 311.3}, "sht": {"hmd": 82.4, "tmp": 12.6}}}
DOCUMENT EXAMPLE - OUTPUT
{"rec": "2018-03-27T12:11:21.028+00:00", "val": {"CO": {"cnc": {"src": 262.1, "med": 368.0}}}}