Dynamic timeseries chart for Flask with dynamic data loading and timeline for data selection.
Build on Echarts + JQDateRangeSlider.
App:
#!/usr/bin/python
# coding: utf8
import pendulum
import random
from flask import Flask, render_template
from flask_echarts import Echarts, TimeSeries
e = Echarts()
app = Flask(__name__, template_folder=".")
e.init_app(app)
class MySeries(TimeSeries):
def get_range(self):
d1 = pendulum.now("utc").subtract(days=300)
d2 = pendulum.now("utc")
return (d1, d2)
def get_data(self, dt_from, dt_to):
out = []
cur = dt_from.replace(microsecond=0)
while cur < dt_to:
val = ((cur.int_timestamp / 3600) % 24) + random.random() * 10
out.append((cur.isoformat(), val))
cur = cur.add(minutes=10)
return out
@app.route('/', methods=['POST', 'GET'])
def home():
data = [MySeries("temp"), MySeries("act"), MySeries("ph", active=False)]
linechart = e.linechart("My Chart", series=data)
if linechart.is_post_request():
return linechart.data()
return render_template("template.html", chart=linechart)
Template HTML
{{ jquery_cdn }}
{{ jquery_ui_cdn }}
{{ jquery_ui_css_cdn}}
{{ echarts_cdn }}
<link href="{{ url_for("echarts.echarts_css") }}" rel="stylesheet" />
<script src="{{ url_for("echarts.echarts_javascript") }}"></script>
<div id="mydivid" style="height: 400px;"></div>
{{ chart.render("mydivid") }}