spyre sample

plot_ore.py

#!/usr/bin/env python
# -*- coding: utf-8 -*-

# https://github.com/adamhajari/spyre

from spyre import server

import numpy as np
import pandas as pd
pd.options.display.mpl_style = 'default'

import urllib2
import json

base = 'https://raw.githubusercontent.com/dichika/mydata/master/'

df1 = pd.read_csv(base + 'ore.csv')
df2 = pd.read_csv(base + 'ore_wt.csv')
df1['time'] = pd.to_datetime(df1['time'])
df2['time'] = pd.to_datetime(df2['time'])
df1 = df1.set_index('time')
df2 = df2.set_index('time')
df = df1.join(df2)


class OreExample(server.App):
    title = u"ある人の歩数と体重"

    inputs = [{     "input_type":'dropdown',
                    "label": 'Frequency',
                    "options" : [ {"label": "month", "value":"M"},
                                  {"label": "week", "value":"W"},
                                  {"label": "day", "value":"D"},],
                    "variable_name": 'freq',
                    "action_id": "update_data" }]

    controls = [{   "control_type" : "hidden",
                    "label" : "update",
                    "control_id" : "update_data"}]

    tabs = ["Plot", "Table"]

    outputs = [{    "output_type" : "plot",
                    "output_id" : "plot",
                    "control_id" : "update_data",
                    "tab" : "Plot",
                    "on_page_load" : True },
                {   "output_type" : "table",
                    "output_id" : "table_id",
                    "control_id" : "update_data",
                    "tab" : "Table",
                    "on_page_load" : True }]

    def getData(self, params):
        aggfuncs = {'weight': np.mean, 'steps': np.sum}
        tmp = df.groupby(pd.TimeGrouper(params['freq'])).agg(aggfuncs)
        return tmp

    def getPlot(self, params):
        df = self.getData(params)
        ax = df.plot(secondary_y='weight')
        return ax.get_figure()

app = OreExample()
app.launch(port=9093)