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#!/usr/bin/env python
import time
import json
import pandas as pd
from datetime import datetime
from os.path import expanduser
def transform_data(data):
objectify = lambda dat: [{"x": x, "y": y} for x, y in dat.iteritems()]
json_data = [{'name': x[0], 'data': objectify(x[1])}
for x in data.iteritems()]
for datacol in json_data:
datacol = datacol['data']
for objs in datacol:
objs['x'] = time.mktime(objs['x'].timetuple())
return json_data
parse = lambda x : datetime.strptime(x, '%y-%m-%d')
w = pd.read_csv(expanduser("~/.weight_log.dat"), parse_dates=[0],
date_parser=parse,index_col= 0)
w['rolling mean'] = pd.rolling_mean(w,10)
jd = transform_data(w[10:])
with open(expanduser("~/weight_tracking/weightdata.json"), 'w') as outfile:
json.dump(jd, outfile, sort_keys=True, indent=4,
separators=(',', ': '))
#!/bin/bash
echo -n "weight? "
read weight
echo "$(date "+%y-%m-%d"),$weight"
echo "$(date "+%y-%m-%d"),$weight" >> ~/.weight_log.dat
python ~/weight_tracking/prepare_weight_data.py
cd ~/weight_tracking/
git commit -am "weight update"
git push
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