python-fitparse | Python library to parse ANT/Garmin .FIT files | Map library

by dtcooper Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | python-fitparse Summary

python-fitparse is a Python library typically used in Geo, Map applications. python-fitparse has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Here’s a Python library to parse ANT/Garmin .FIT files.

Support

Quality

Security

License

Reuse

Support

python-fitparse has a low active ecosystem.

It has 525 star(s) with 156 fork(s). There are 56 watchers for this library.

It had no major release in the last 6 months.

There are 19 open issues and 53 have been closed. On average issues are closed in 167 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of python-fitparse is current.

Quality

python-fitparse has 0 bugs and 0 code smells.

Security

python-fitparse has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

python-fitparse code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

python-fitparse is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

python-fitparse releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 13868 lines of code, 171 functions and 15 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed python-fitparse and discovered the below as its top functions. This is intended to give you an instant insight into python-fitparse implemented functionality, and help decide if they suit your requirements.

Parse a list of messages
Retrieve a type by its name
Return the field with the given field name
Get the message number by name
Parse a spreadsheet
Get dev type definition
Appends a dev field description description
Append a new dev data index
Parse a list of types
Show fitparse profile
Scrips a method name from a method name
Extract the xlsx and version from a zip file
Print out the profile xls file
Parse a data message
Given a DataMessage return a list of components
Apply scale and offset
Applies a compressed accumulation to the raw value
Process field processor
Process field speed field
Return True if obj is an iterable
Get field by field name
Get a message by name
Get a value by name

Get all kandi verified functions for this library.

python-fitparse Key Features

No Key Features are available at this moment for python-fitparse.

python-fitparse Examples and Code Snippets

No Code Snippets are available at this moment for python-fitparse.

Community Discussions

Trending Discussions on python-fitparse

how to handle timestamp_16 in Garmin devices?

QUESTION

how to handle timestamp_16 in Garmin devices?

Asked 2019-Nov-08 at 00:23

I own a Garmin Vivosport which I use to track my activities and my sleep, and I want to run some analysis on my own heart rate data taken from the FIT files I download via Garmin Connect.

The problem is that I do not manage to align timestamps properly.

A similar question is asked here but I didn't find an answer, nor could comment to add my question.

As explained here, in the FIT files the timestamp information is split into two different variables: a timestamp which appears every now and then, and a timestamp_16 which is attached to every individual measurement. According to what they say, timestamp_16 contains the lower 16 bits of the actual timestamp, so it should be combined with the higher 16 bits of the previous timestamp.

I am using data recorded on May 1st 2019. Files cover the 24h of the day, so the first data point is at 00:00 (I checked this in the graphic interface of Garmin Connect and things match). In this file I find this to be the first data entry of interest:

...

ANSWER

Answered 2019-Sep-07 at 18:46

Take the special Garmin epoch into account, it's 631065600 seconds later than the Unix timestamp epoch, the calculations need to happen in that special time (if it was just a normal offset that wouldn't be the case, but these offsets are not strictly additive so the "absolute value" of the time matters). Just subtract 631065600:

Source https://stackoverflow.com/questions/57774180

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install python-fitparse

You can download it from GitHub.
You can use python-fitparse like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: