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@mohataher mohataher/hr.csv

Created Jan 24, 2018
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load-polar-hr-data-to-python-pandas-dataframe
We can make this file beautiful and searchable if this error is corrected: It looks like row 3 should actually have 26 columns, instead of 12. in line 2.
Name,Sport,Date,Start time,Duration,Total distance (km),Average heart rate (bpm),Average speed (km/h),Max speed (km/h),Average pace (min/km),Max pace (min/km),Calories,Fat percentage of calories(%),Average cadence (rpm),Average stride length (cm),Running index,Training load,Ascent (m),Descent (m),Notes,Height (cm),Weight (kg),HR max,HR sit,VO2max,
MTA,OTHER_INDOOR,23-06-2017,13:43:56,00:08:40,0.00,77,,,,,17,71,,,,,,,,170.0,64.0,,,,
Sample rate,Time,HR (bpm),Speed (km/h),Pace (min/km),Cadence,Altitude (m),Stride length (m),Distances (m),Temperatures (C),Power (W),
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import pandas as pd
import datetime
import time
row=None
with open("hr.csv") as fp:
for i, line in enumerate(fp):
if i == 1:
print(line)
row=line
elif i > 1:
break
splits=row.split(',')
print(splits)
date=splits[2]
mtime=splits[3]
mdatetime = date+' '+mtime
starting_ts = pd.to_datetime(mdatetime)
dates=[]
hrs=[]
with open("data/hr.csv") as fp:
for i, line in enumerate(fp):
if i < 3:
continue #skip headers
else:
splits=line.split(',')
rate=splits[1]
hr=splits[2]
#print(hr)
x = time.strptime(rate.split(',')[0],'%H:%M:%S')
seconds = datetime.timedelta(hours=x.tm_hour,minutes=x.tm_min,seconds=x.tm_sec).total_seconds()
#print(seconds)
ndate= starting_ts + pd.to_timedelta(seconds, unit='s')
#print(ndate)
dates.append(ndate)
hrs.append(hr)
data={'date':dates, 'hr':hrs}
df = pd.DataFrame(data=data, index=dates)
df.head()
df.to_csv('hr_df.csv')
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