PlotJuggler

PlotJuggler is a tool to visualize time series that is fast, powerful and intuitive.

Install

The simplest way to install PlotJuggler is through snap:

$ sudo snap install plotjuggler

How to Streaming data from python script to Plotjuggler

PlotJuggler

PlotJuggler got several ways of streaming data, it can subscribe to many different streaming sources: MQTT, Websockets, ZeroMQ, UDP, ROS topics, etc.

Here, Websocket and ZeroMQ will be introduced.

ZeroMQ

PlotJuggler

Start PlotJuggler, go to Streaming, choose ZMQ Subscriber, then Start, default transport Address tcp://localhost with port 9872, and the default message protocol is JSON, click OK.

Python Client

Here is a example of the python client publishing the data:

import zmq

import math

import json

from time import sleep

import numpy as np

context = zmq.Context()

serverSocket = context.socket(zmq.PUB)

port = 9872

serverSocket.bind("tcp://*:"+str(port))

time = 0.0

while True:

sleep(0.05)

time += 0.05

print(time)

data = {

"timestamp": time,

"test_data": {

"cos": math.cos(time),

"sin": math.sin(time),

"floor": np.floor(np.cos(time)),

"ceil": np.ceil(np.cos(time))

}

serverSocket.send_string(json.dumps(data))

Websocket

PlotJuggler

Start PlotJuggler, go to Streaming, choose WebSocket Server, then Start the websocket server, default port is 9871, and protocol is JSON, OK.

Python Client

Here is a simple example of streaming data from a python script to the server through websocket.

import websocket

import math

import json

from time import sleep

import numpy as np

ws = websocket.WebSocket()

ws.connect("ws://localhost:9871")

time = 0.0

while True:

sleep(0.05)

time += 0.05

print(time)

data = {

"timestamp": time,

"test_data": {

"cos": math.cos(time),

"sin": math.sin(time),

"floor": np.floor(np.cos(time)),

"ceil": np.ceil(np.cos(time))

}

ws.send(json.dumps(data))

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