Created
September 24, 2013 03:31
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Generate graphs from the last week of UP data.
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import json | |
import pandas | |
import pylab as plt | |
#Load data | |
M = [json.loads(l) for l in file("data/snapshots.jl", 'r').readlines()] | |
#Day step graph | |
D = pandas.DataFrame(M[2]["data"]) | |
D.columns = ["time", "steps"] | |
plt.vlines(D.time, D.steps, 0) | |
plt.savefig("graphs/daily-step-graph.png") | |
plt.show() | |
#Weekly cumulative step graphs, overlaid | |
for i,m in enumerate(M[:7]): | |
D = pandas.DataFrame(m["data"]) | |
D.columns = ["time", "steps"] | |
n = D.shape[0] | |
plt.plot( range(n), D.steps.cumsum() ) | |
if i==2: | |
plt.plot( range(n), D.steps.cumsum(), lw=4, c='black' ) | |
plt.savefig("graphs/weekly-cumulative-steps-overlaid.png") | |
plt.show() | |
#Weekly cumulative step graphs, in sequence | |
for i,m in enumerate(M[:7]): | |
D = pandas.DataFrame(m["data"]) | |
D.columns = ["time", "steps"] | |
n = D.shape[0] | |
plt.plot( D.time, D.steps.cumsum() ) | |
if i==2: | |
plt.plot( D.time, D.steps.cumsum(), lw=4, c='black' ) | |
plt.savefig("graphs/weekly-cumulative-steps-seq.png") | |
plt.show() | |
#Weekly skyline graph | |
total = 0 | |
for i,m in enumerate(M[:7]): | |
D = pandas.DataFrame(m["data"]) | |
D.columns = ["time", "steps"] | |
n = D.shape[0] | |
rev_range = range(total+n, total+2*n) | |
rev_range.reverse() | |
plt.plot( range(total, total+n), D.steps.cumsum(), c='black', lw=4 ) | |
plt.plot( rev_range, D.steps.cumsum(), c='black', lw=4 ) | |
total += 2*n | |
plt.savefig("graphs/weekly-skyline-graph.png") | |
plt.show() | |
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