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@seumasmorrison /pandas-example.py
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Sample input data and python code for Pandas time-series problem
import pandas as pd
data_frame = pd.io.parsers.read_csv('time-series.csv',index_col = 0, names=['index','heave'])
_max = [[5, 259.0]]
indexes = [x[0] for x in _max ]
index = data_frame.index
timestamps = [index[z] for z in indexes]
#['2011-12-30 00:00:04']
print data_frame.ix[timestamps]
# heave
#2011-12-30 00:00:04 259
2011-12-30 00:00:00 -310.0
2011-12-30 00:00:01 -238.0
2011-12-30 00:00:01.500000 -114.0
2011-12-30 00:00:02.500000 60.0
2011-12-30 00:00:03 185.0
2011-12-30 00:00:04 259.0
2011-12-30 00:00:04.500000 231.0
2011-12-30 00:00:05.500000 139.0
2011-12-30 00:00:06.500000 55.0
2011-12-30 00:00:07 -49.0
2011-12-30 00:00:08 -144.0
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