python-fitbit | Fitbit API Python Client Implementation | Reactive Programming library
kandi X-RAY | python-fitbit Summary
kandi X-RAY | python-fitbit Summary
Fitbit API Python Client Implementation
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Top functions reviewed by kandi - BETA
- Retrieve a collection of resources
- Make a HTTP request
- Return common arguments for API calls
- Return date string
- Updates an alarm
- Add a new alarm
- Get activity stats for a given user
- Performs a daily goal
- Get the goal for a given resource
- Filters out missing values
- Generic method to delete a collection
- Get body weight for a given time range
- Get food goal log
- Index code
- Fetch an access token
- Make a request to the API
- Shortcut for weekly activities
- Fetch food stats
- Subscribe to a given subscription
- Open the web browser
- Get user profile
- Get body fat goal
- Get water goal
- Update a user profile
- Sleep the user
- Get sleep time
python-fitbit Key Features
python-fitbit Examples and Code Snippets
wishlist = {'PS5': 750, 'Phone case': 30, 'Oodie': 90, 'LEGO Hogwarts Castle': 650, 'JBL Headphones': 130, 'Drum kit': 520, 'Phone recharge': 30, 'Earrings': 110, 'Spotify subscription': 60, 'Hockey stick': 130, 'Big Toblerone': 16, 'Volle
wishlist = {'PS5': 750, 'Phone case': 30, 'Oodie': 90, 'LEGO Hogwarts Castle': 650, 'JBL Headphones': 130, 'Drum kit': 520, 'Phone recharge': 30, 'Earrings': 110, 'Spotify subscription': 60, 'Hockey stick': 130, 'Big Toblerone': 16, 'Volle
volumes:
- ./dags:/opt/airflow/dags
- ./logs:/opt/airflow/logs
- ./plugins:/opt/airflow/plugins
try:
subset_run.to_sql("run_activity", engine, index=False, if_exists='append')
except:
print("Data already exists in the database")
subset_run.to_sql("run_activity", engine, index=False, if_exists='append'
df = pd.DataFrame({'Name':["Jim","Jim","Jim","Jim","Tom","Tom","Tom","Tom"],
"Companies": ["Google","Google", "Apple","Apple", "Amazon", "Amazon","Samsung","Samsung"],
"Sub-companies": [
"YouTube", "FitBit", "NextVR", "Beats",
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.XPATH, "//input[@type='email']"))).send_keys('name.surname@gmail.com')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.XPATH, "//input[@type='password']"))).send
def _wrap_refresh(func):
def wrapper(*args, **kwargs):
kwargs['auth'] = (client_id, client_secret)
kwargs.pop('allow_redirects', None)
return func(*args, **kwargs)
return wrapper
client = OAuth2Session(clie
import json
with open('/Users/Addy/Physical Activity/heart_rate-2020-10-06.json') as f:
data = json.load(f)
bpm = [item['value']['bpm'] for item in data]
print(bpm)
df["efficient"] = False
for index, line in df["content"].iteritems():
tokenized_words =word_tokenize(line)
for item in tokenized_words:
if item in effi_set:
df.at[index, "efficient"] = True
continue
Community Discussions
Trending Discussions on python-fitbit
QUESTION
I'm trying to get my heart rate and sleep data through fitbit API, i'm using this: https://github.com/orcasgit/python-fitbit
in order to connect to the server and get the access and refresh tokens (i use gather_kays_oauth2 to get the tokens).
And when i'm conecting in HTTP I do manage to get the sleep data, but when i'm trying to get the HR like that:
...ANSWER
Answered 2018-May-07 at 15:26Your code should be client.time_series('activities/heart', period='1d')
to get heart rate.
For the first parameter resource, it doesn't need the resource URL, but it asks you to put one of these: activities, body, foods, heart, sleep.
Here is the link of source code from python-fitbit
:
http://python-fitbit.readthedocs.io/en/latest/_modules/fitbit/api.html#Fitbit.time_series
Added:
If you want to get the full heart rate data per minute (["activities-heart-intraday"] dataset), try client.intraday_time_series('activities/heart')
. It will return data with the one-minute/one-second detail.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install python-fitbit
You can use python-fitbit 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.
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