I am working on a project to create a small system monitoring dashboard using the python psutil library.

The repo is here (if you want actual system monitoring please use netdata).

I'm using streamlit and plotly for the webserver, design, and plotting at the moment.

My Use Case

I needed a way to refresh my plotly charts with a fixed window of time so that I'm able to just see relevant recent data instead of cramming all data for all time into one plot that's 500 pixels wide...

Checking the length of arrays or lists every time I get a new piece of data feels kind of dumb and I thought "python must have a way to do this"...

"This" meaning, update values in a fixed length array without reallocating memory or recreating a copy of the list


Enter the deque. It means "double ended queue" and is in general an Iterable that you can append values to either side or pop values from either side.

The init signature is straightforward enough and I'm sure there's more to them than I know yet but here's how I use it...

from collections import deque

my_deque = deque([1,2,3])

This gives us my_deque, created from an iterable, with several familiar methods like index, extend, append, etc. However there's some new ones too such as appendleft and popleft.

>>> deque(['a', 1, 2, 3])

>>> 'a'
>>> deque([1, 2, 3])

These are handy ways to manipulate the iterable that I needed for the arrays I plot with plotly!

See my follow-up to this on using Deques with plotly and streamlit to create a quick "dashboard" with live streaming data!