Overview

--The one that runs in the same directory as the program created in the following article

http://qiita.com/tano/items/fcccd96a775017caa2b4 --Program to run on Jupyter (iPython Notebook) --The purpose is "Plot the data of the frequency of the specified date on the graph" ――It seems that Fitbit can only save 3 types of 1 second, 1 minute, and 15 minutes locally.

code


%matplotlib inline
import os
import sys
import numpy as np
import pandas as pd
import plotly
import matplotlib.pyplot as plt
plotly.offline.init_notebook_mode(connected=False)

#Specify frequency and date to plot
FREQ = '1sec' #1sec,1min,15min
DATE = '2017-01-29' #YYYY-MM-DD

#Generate filename and directory path from frequency and date
#Abnormal termination if not the specified frequency
#Correct if the relative path is incorrect
FILE = './HR_%s_%s.csv' % ( DATE, FREQ )
DIR = './%s' % FREQ
if not FREQ in {'1sec','1min','15min'}:sys.exit(1)
if not os.path.exists(DIR):DIR = '.%s' % DIR

#Move working directory to DIR
#Abnormal termination if FILE does not exist
os.chdir(DIR)
if not os.path.exists(FILE):sys.exit(1)

#Read CSV file and plot graph
raw = pd.read_csv(FILE,header=None,skiprows=1,names=['Time','HR'])
data = [ plotly.graph_objs.Scatter(x=raw['Time'], y=raw['HR'], name='test') ]
fig = plotly.graph_objs.Figure(data=data)
plotly.offline.iplot(fig)

Run

--Start Jupyter with "jupyter notebook" or "ipython notebook" in the terminal (it is easier to move to the directory where the data is stored with the cd command first) --Click New on the Jupyter home screen to create a Python 2 Notebook --Execute the above code --Graph appears --Specify the data frequency and date with FREQ and DATE (Please get the data from the cloud in advance)

Will be edited later

The one that graphs the one that got the fitbit data from the server

Overview

code

Run