June 28, 2022, 7:47 p.m. | Edwin Sutrisno

Towards Data Science - Medium towardsdatascience.com

Lightweight and fast compression algorithm in Python for time-series plots

Photo by Nicholas Cappello on Unsplash

Motivation

Visualization is a powerful and critical step for reasoning with our data. Plotting large time-series data however generates heavy file sizes which slow down user interaction and strain computing resources such as RAM, disk, network and more. In my line of work, time-series data from machinery monitoring sensors may be recorded at rates from 1 Hz (1 point per second) to thousands of …

bokeh compression data plotting python series time timeseries

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Healthcare Data Modeler/Data Architect - REMOTE

@ Perficient | United States

Data Analyst – Sustainability, Green IT

@ H&M Group | Stockholm, Sweden

RWE Data Analyst

@ Sanofi | Hyderabad

Machine Learning Engineer

@ JPMorgan Chase & Co. | Jersey City, NJ, United States