用于strava api的python客户端，重点是流畅的数据处理
stravaio的Python项目详细描述
斯特拉瓦约
用于strava api的python客户端，重点是流畅的数据处理
示例
在Strava海报中建立自己的年Jupyter notebook
安装
pipenv install stravaio
或
pip install stravaio
最新的开发版本可以安装为：
pipenv install git+https://github.com/sladkovm/stravaio.git#egg=stravaio
使用前
您需要具有活动级权限的STRAVA_ACCESS_TOKEN才能使用此包。
获取令牌的最简单方法是使用stravaio库本身：
fromstravaioimportstrava_oauth2strava_oauth2(client_id=STRAVA_CLIENT_ID,client_secret=STRAVA_CLIENT_SECRET)
您将被重定向到默认系统浏览器，其中必须完成授权流。在后台，本地web服务器将运行并监听strava返回的数据。
如果将STRAVA_CLIENT_ID和STRAVA_CLIENT_SECRET设置为环境变量，则它们都是可选参数。
另一种方法是前往strava-oauth库寻求帮助。在那里，您将找到一个指向公共web服务器的链接，可用于完成strava authorizatio流。
获取令牌时，将其存储为环境变量非常方便。否则它应该明确地传递给stravaio构造函数。
exportSTRAVA_ACCESS_TOKEN=<strava_access_token>
使用
fromstravaioimportStravaIO# If the token is stored as an environment varible it is not neccessary# to pass it as an input parametersclient=StravaIO(access_token=STRAVA_ACCESS_TOKEN)
运动员
# Get logged in athlete (e.g. the owner of the token)# Returns a stravaio.Athlete object that wraps the# [Strava DetailedAthlete](https://developers.strava.com/docs/reference/#api-models-DetailedAthlete)# with few added data-handling methodsathlete=client.get_logged_in_athlete()# Dump athlete into a JSON friendly dict (e.g. all datetimes are converted into iso8601)athlete_dict=athlete.to_dict()# Store athlete infor as a JSON locally (~/.stravadata/athlete_<id>.json)athlete.store_locally()# Get locally stored athletes (returns a generator of dicts)local_athletes=client.local_athletes()
活动
# Returns a stravaio.Activity object that wraps the # [Strava DetailedActivity](https://developers.strava.com/docs/reference/#api-models-DetailedActivity)activity=client.get_activity_by_id(2033203247)# Dump activity into a JSON friendly dictactivity_dict=activity.to_dict()# Store activity locally (~/.stravadata/activities_<athlete_id>/activity_<id>.json)activity.store_locally()# Get list of athletes activities since a given date (after) given in a human friendly format.# Kudos to [Maya: Datetimes for Humans(TM)](https://github.com/kennethreitz/maya)# Returns a list of [Strava SummaryActivity](https://developers.strava.com/docs/reference/#api-models-SummaryActivity) objectslist_activities=client.get_logged_in_athlete_activities(after='last week')# Obvious use - store all activities locallyforainlist_activities:activity=client.get_activity_by_id(a.id)activity.store_locally()# List local activities (returns a generator of JSON friendly dicts)activities=client.local_activitis(athlete_id=1202065)
流
# Returns a stravaio.Streams object that wraps the # [Strava StreamSet](https://developers.strava.com/docs/reference/#api-models-StreamSet)streams=client.get_activity_streams(2033203247)# Access streams using the dot notationwatts=streams.watts# Dump streams into a JSON friendly dictstreams_dict=streams.to_dict()# Store streams locally (~/.stravadata/streams_<athlete_id>/streams_<id>.parquet) as a .parquet file, that can be loaded later using the# pandas.read_parquet()streams.store_locally()
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