`myfitness`: Tools to Analyze Apple Health Data

Build_Stamp

The Apple Health Fitness Tracker was a collaborative project by Liza Wood and Levannia Lildhar.

The myfitness package provides some basic tools to analyze the health data in a CSV file downloaded from Apple Health. These tools could be used to analyze and compare the data from multiple people.

healthdata

contains two modules
1. data - contains the name, age and gender of the person (the "superclass") and a method to read in the CSV health data file using pandas
2. chart - uses pygal to provide an interactive bar chart to the user

summary

contains two modules
1. table - returns a summarized dataframe of average steps per month
2. maxmin- contains functions to calculate the maximum and minimum number of steps

Package Structure

myfitness --> package

healthdata --> sub-package
- data --> module
- chart -->module
summary --> sub-package
- table --> module
- maxmin --> module

Package Details

The package functions of myfitness are described below. The use of the package is also demonstrated in the test file included in this repositry.

`healthdata`

This subpackage provides users a method of importing data as well as viewing the data interactively.

Detailed descriptions of the data module in the healthdata subpackage is shown below:

Class/Function	Description	Parameters	Return
`Person`	Create an object of class Person() to be used in further analysis. The 'display' function displays the name, age and gender of a Person() object	name, age, gender	An object of class Person with name, age and gender attributes
`healthdata`	Create a object of class healthdata() this inherits from the superclass Person()	name, age, gender, file (downloaded from Apple Health, as CSV)	Display of healthdata object attributes name, age, gender and dataframe containing healthdata() object file

Detailed descriptions of the chart function in the healthdata subpackage is shown below:

Function	Description	Parameters	Return
`chart`	Creates an interactive bar graph using pygal	columnX as list of strings, columnY as list of values, xlabel as string, ylabel as string, filename	.svg file with xlabel, ylabel, title, and filename

`summary`

This subpackage provides users with some basic statistical analysis tools to view their data extracted from Apple Health.

Detailed descriptions of the table function in the summary subpackage is shown below:

Function	Description	Parameters	Return
`table`	Function to summarize the average number of steps taken per month using the pandas package	data: Apple Health .csv file imported as a Pandas DataFrame	A Pandas dataframe, summarizing the average number of steps taken by month, indicated by the last date of the month.

Detailed descriptions of the maxMin function in the summary subpackage is shown below:

Function	Description	Parameters	Return
`getMax`	Find the maximum number of steps in the data and the date it was achieved.	data: Pandas DataFrame containing Apple Health data imported from a CSV file.	The row of values for when the maximum number of steps were achieved:Start date, Finish date,Distance(mi), Steps (count)
`getMin`	Find the maximum number of steps in the data and the date it was achieved.	data: Pandas DataFrame containing Apple Health data imported from a CSV file.	The row of values for when the maximum number of steps were achieved:Start date, Finish date, Distance(mi), Steps (count)

Testing

myfitness_tests contains the necessary test suite and classes to verify that the package is working correctly. There are a total of four classes that conduct unit testing as well as the suite.

Test Suite Coverge Report Coverage Report

Requirements

This package requires the following Python modules:

numpy
pandas
pygal
IPython
CairoSVG

Metadata

Release files for myFitness 0.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for myFitness 0.3
File	Size	Uploaded
myFitness-0.3.tar.gz	4.4 kB	Jul 4, 2019	Details

Release files / myFitness-0.3.tar.gz

Download URL	myFitness-0.3.tar.gz
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Upload date	Jul 4, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3`

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This release

0.3 This release

Jul 4, 2019 1 release file

0.2

Jul 4, 2019 1 release file

0.1

Dec 12, 2018 1 release file

myFitness 0.3

`myfitness`: Tools to Analyze Apple Health Data

Package Structure