json-timeseries 0.1.7

JSON-TimeSeries (JTS specification) handling library

JSON Time Series

JSON Time Series (JTS specification) handling Python library - Time Series data construction, manipulation and serialisation.

Installation

pip install json-timeseries

Import or require module

from json_timeseries import TsRecord, TimeSeries, JtsDocument

Usage

from json_timeseries import TsRecord, TimeSeries, JtsDocument
from datetime import datetime

# Create Time Series
timeseries1 = TimeSeries(identifier='series_1', name='Series 1', data_type='NUMBER', 
    records=[
    TsRecord(**{"timestamp": datetime.now(), "value": '1.23', "quality": 192, "annotation": 'comment'}),
    TsRecord(**{"timestamp": datetime.now(), "value": '2.34', "quality": 245, "annotation": 'comment number 2'})])

timeseries2 = TimeSeries(identifier='series_2', name='Series 2', data_type='NUMBER', units="C", 
                         records=TsRecord(timestamp=datetime.now(), value=1.11, quality=111, annotation="comment ts2 111")
                         )

# Add record(s)
timeseries1.insert(TsRecord(**{ timestamp: datetime.now(), value: 30 }))

# Output in JSON Time Series document format
jts_doc = JtsDocument([timeseries1, timeseries2])
json_str = jts_doc.toJSONString()

TimeSeries

TimeSeries is a class for constructing and manipulating a single dataset.

from json_timeseries import TsRecord, TimeSeries
from datetime import datetime

time_series = TimeSeries(identifier='series_2', name='Series 2', data_type='NUMBER', units="m/s", 
                         records=TsRecord(timestamp=datetime.now(), value=1.11, quality=0, annotation="example comment")
                         )

Options

Optionally provide configuration used for certain output formats such as JTS Document.

• data_type: data type of record value attribute. NUMBER | TEXT | TIME | COORDINATES
• id: string or number to uniquely identify the series to use instead of the automatically assigned id.
• name: string
• units: string
• records: list of data records

Alternatively set later:

time_series.data_type = 'NUMBER'
time_series.id = 'Series_1'
time_series.name = 'My Series'
time_series.units = 'm/s'

TsRecord

TsRecord is a class for constructing and manipulating a single record.

from json_timeseries import TsRecord
from datetime import datetime

ts_record1 = TsRecord(timestamp=datetime.now(), value=1.11, quality=0, annotation="example comment")
# Or as dict of parameters using ** operator
ts_record2 = TsRecord(**{"timestamp": datetime.now(), "value": 1.11, "quality": 0, "annotation": 'example comment'})

Record attributes

Records require a timestamp and at least one attribute: value, quality or annotation

• timestamp: date object. Type of datetime. e.g.datetime.now()
• value (optional): number, string, date, null
• quality (optional): number (quality code) associated with value
• annotation (optional): string description or comment related to the record

Methods

See full documentation.

Properties

See full documentation.

JTS Document

JtsDocument is a class for outputting TimeSeries in JSON Time Series document format.

# Create a JTS Document from one or more timeseries
jts_document = JtsDocument(series=[timeseries1, timeseries2])
# Output series in JTS Document format
json_str = jts_document.toJSONString()

Options

• series: array of TimeSeries to include in JTS Document

Methods

See full documentation.

Properties

See full documentation.

License

MIT