Easily create data visualization of static or streaming data
Project description
Easily create data visualization of static or streaming data
Get Started
pip install easycharts
Create EasyCharts Server
# charts.py
from fastapi import FastAPI
from easycharts.charts import ChartServer
server = FastAPI()
@server.on_event('startup')
async def setup():
server.charts = await ChartServer.create(
server,
"test"
)
await server.charts.create_dataset(
"test",
labels=['a', 'b', 'c', 'd'],
dataset=[1,2,3,4]
)
Start Server
uvicorn --host 0.0.0.0 --port 0.0.0.0 charts:server
Update Data via API
In a separate window, access the OpenAPI docs to demonstrate dynanimc updates to the graph
http://0.0.0.0:8220/docs
Line
Bar
APIS
Real World Usage - Resource Monitoring
import asyncio
import datetime, psutil
from fastapi import FastAPI
from easycharts.charts import ChartServer
server = FastAPI()
@server.on_event('startup')
async def setup():
server.charts = await ChartServer.create(
server,
"test",
chart_prefix = '/mycharts'
)
await server.charts.create_dataset(
"test",
labels=['a', 'b', 'c', 'd'],
dataset=[1,2,3,4]
)
# set initial sync time
label=datetime.datetime.now().isoformat()[11:19]
await server.charts.create_dataset(
'cpu',
labels=[label],
dataset=[psutil.cpu_percent()]
)
await server.charts.create_dataset(
'mem',
labels=[label],
dataset=[psutil.virtual_memory().percent]
)
# create resource monitoring task
async def resource_monitor():
while True:
try:
await asyncio.sleep(30)
time_now=datetime.datetime.now().isoformat()[11:19]
# updates CPU & MEM datasets with current time
await server.charts.update_dataset(
'cpu',
label=time_now,
data=psutil.cpu_percent()
)
await server.charts.update_dataset(
'mem',
label=time_now,
data=psutil.virtual_memory().percent
)
except Exception:
break
asyncio.create_task(resource_monitor())
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
Close
Hashes for easycharts-0.104-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | cb9f4977bf352479fa2d3365a3c64afce15bcc4eb8fc52f245dea931066298cb |
|
MD5 | b1d3322a4b999531a9323633aea3bc2b |
|
BLAKE2b-256 | e6783a7f078f8b44fa4edeb702654b3b88a86e783380b67451cf64f4fbd1eb2a |