A data processor for data in influxDB
Project description
influxdb-data-processor
A data processor for data in influxDB.
Developed by Chai Wen Xuan 2021
Uses:
- To fill in missing value cause by random error from data collector
- To produce fixed time sampling range data
Processing CSV file
import pandas as pd
from influxdbDataProcessor.processor import processcsvdata
df = processcsvdata()
Required input:
- Token
- influxDb url
- Organization
- Bucket name
- CSV file location
- Sampling frequency (1 day: '1d', 1hour: '1h', 1 minute: '1t', 1 second: '1s')
- Data range (1 day: '1d', 1hour: '1h', 1 minute: '1m', 1 second: '1s')
CSV file format:
- Only two column ("Measurement", "Field")
Processing array data
import pandas as pd
from influxdbDataProcessor.processor import processarraydata
df = processarraydata(measurementArr,fieldArr)
Required input:
- Token
- influxDb url
- Organization
- Bucket name
- Sampling frequency (1 day: '1d', 1hour: '1h', 1 minute: '1t', 1 second: '1s')
- Data range (1 day: '1d', 1hour: '1h', 1 minute: '1m', 1 second: '1s')
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