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nipunbatra / bill.ipynb
Created February 8, 2014 08:29
bill
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nipunbatra / electricity_contribution.py
Last active August 29, 2015 13:56
from nilmtk.plots import latexify, format_axes
import matplotlib.pyplot as plt
latexify(columns=1)
from mpltools import style
style.use('ggplot')
x = ["India", "USA", "China", "Korea", "Australia"]
y = [47, 29, 34, 26, 20]
fig, ax = plt.subplots()
ax.bar(range(len(y)), y)
format_axes(ax)
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nipunbatra / version_output.txt
Created February 12, 2014 08:28
OS: Linux-3.5.0-36-generic-x86_64-with-Ubuntu-12.10-quantal
System version: 2.7.3 (default, Apr 10 2013, 05:13:16)
[GCC 4.7.2]
Numpy version: 1.6.2
Matplotlib version: 1.1.1
Pandas version: 0.11.1.dev-58642a6
Scikit-learn version: 0.12.1
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nipunbatra / bokeh_div.ipynb
Last active August 29, 2015 13:56
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nipunbatra / losses.py
Created February 23, 2014 08:52
from __future__ import print_function
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap as Basemap
from matplotlib.colors import rgb2hex
from matplotlib.patches import Polygon
import pandas as pd
m = Basemap(projection='merc')
shp_info = m.readshapefile(
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nipunbatra / vincent_hello.ipynb
Created February 24, 2014 04:32
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nipunbatra / python_filter_funf_bluetooth.py
Created February 26, 2014 06:28
import pandas as pd
import pandas.io.sql as psql
import sqlite3 as lite
import json
con = lite.connect("/home/nipun/Desktop/funf/first_floor_small.db")
sql = "select timestamp, probe, value from data"
df = psql.frame_query(sql, con)
#Filter bluetooth content
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nipunbatra / merge_decrypt.sh
Created February 26, 2014 06:36
python dbdecrypt.py *.db
python dbmerge.py *.db
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nipunbatra / mac_names.py
Created February 26, 2014 06:40
In [100]: mac_to_name.values()
Out[100]:
[u'Mukund',
u'Wave Y',
u'BlackBerry 9220',
u'LP-DELHI-NEHA-A',
u'Father',
u'ubuntu-0',
u'Mother',
u'aaron',
@nipunbatra
nipunbatra / probe_results.py
Last active August 29, 2015 13:56
In [57]: con = lite.connect("/home/nipun/Desktop/funf/first_floor_small.db")
In [58]: sql = "select distinct probe from data"
In [59]: df = psql.frame_query(sql, con)
In [60]: df.probe.values
Out[60]:
array([u'edu.mit.media.funf.probe.builtin.AccelerometerSensorProbe',
u'edu.mit.media.funf.probe.builtin.CellTowerProbe',
u'edu.mit.media.funf.probe.builtin.LocationProbe',
u'edu.mit.media.funf.probe.builtin.BatteryProbe',
u'edu.mit.media.funf.probe.builtin.ProximitySensorProbe',