Created
April 6, 2016 19:57
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%matplotlib inline | |
import matplotlib.pyplot as plt | |
from datetime import timedelta | |
from bson import ObjectId | |
import seaborn as sns | |
sns.set_style('whitegrid') | |
from itertools import cycle | |
cyclic_palette = cycle(sns.color_palette()) | |
values = [] | |
X = [ObjectId(oid).generation_time for oid, rec in data][:40] | |
ref = "" | |
current_color = cyclic_palette.next() | |
for oid, rec in data: | |
if rec['media']['__data__'] != ref: | |
current_color = cyclic_palette.next() | |
values.append(current_color) | |
ref = rec['media']['__data__'] | |
values = values[:40] | |
fig, ax = plt.subplots(figsize=(18,2)) | |
ax.scatter(X, [1]*len(X), c=values, | |
marker='s', s=100) | |
fig.autofmt_xdate() | |
# everything after this is turning off stuff that's plotted by default | |
ax.yaxis.set_visible(False) | |
ax.spines['right'].set_visible(False) | |
ax.spines['left'].set_visible(False) | |
ax.spines['top'].set_visible(False) | |
ax.xaxis.set_ticks_position('bottom') | |
ax.get_yaxis().set_ticklabels([]) | |
interval = timedelta(minutes=0) | |
plt.xlim(X[0] - interval, X[-1] + interval) | |
plt.title("Unique Images Captured via Polling") | |
plt.show() |
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