heartrate | Simple real time visualisation of the execution of a Python | Data Visualization library
kandi X-RAY | heartrate Summary
kandi X-RAY | heartrate Summary
This library offers a simple real time visualisation of the execution of a Python program:. The numbers on the left are how many times each line has been hit. The bars show the lines that have been hit recently - longer bars mean more hits, lighter colours mean more recent. Calls that are currently being executed are highlighted thanks to the executing library.
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heartrate Key Features
heartrate Examples and Code Snippets
Lines of Code : 16License : Strong Copyleft (CC BY-SA 4.0)
Copycol_idx = pamap2_df.columns.get_loc('heartrate')
pamap2_df.iloc[:4, col_idx] = 100
idx = pamap2_df.index[:4]
pamap2_df.loc[idx, 'heartrate'] = 100
pamap2_df = df[df['Age'] < some_threshodf = spark.createDataFrame(
[
(110, 128.0, 1),(110, 127.0, 2),(111, 127.0, 3),(111, 127.0, 4)
,(111, 126.0, 5),(111, 127.0, 6),(109, 126.0, 7),(111, 126.0, 1001)
,(114, 126.0, 1003),(115, 83.0, 1064),(116, 127.0, 1066)
], df.show()
+---+------+------+
| HR|maxABP|Second|
+---+------+------+
|110| 128.0| 10|
|110| 127.0| 20|
|111| 127.0| 30|
|111| 127.0| 40|
|111| 126.0| 50|
|111| 127.0| 60|
|109| 126.0| 70|
|111| 126.0| 80|
+---+---->>> df.explode('data', ignore_index=True)
type data education salary
0 heartrate 27 bachelor 80000
1 heartrate 32 bachelor 80000
2 heartrate 35 bachelor 80000
3 heartrate 31 bachelor 80000
4 hearresponse ={'type': ['heartrate' for _ in range(6)],
'data': [27, 32, 35, 31, 29, 30],
'education': ['bachelor' for _ in range(6)],
'salary': [80000 for _ in range(6)]}
df = pd.DataFrame(response)
df['DiffHeartRate']=(df.groupby(['Disease', 'State',
(df.MonthStart.dt.month.ne(df.MonthStart.dt.month.shift()+1)).cumsum()])['HeartRate']
.apply(lambda x: x.diff())).fillna(df.HeartRate)
Disease Hepd.DataFrame(df.groupby([pd.Grouper(key='date', freq='15Min')]).sum()).reset_index()
date id
0 2020-10-04 14:06:00 10.0
1 2020-10-04 14:06:05 11.0
2 2020-10-05 12:28:58 12.0
3 2020-10-05df['datetime_col'] = pd.to_datetime(df['date'] + ' ' + df['time'])
>>> df = pd.DataFrame({'date':['2020-04-14', '2020-04-14'], 'time':['06:03', '09:03']})
>>> df
date time
0 2020-04-14df.groupby('ID')['HeartRate'].plot()
n_ids = df.ID.unique().size
n_cols = int(n_ids ** 0.5)
n_rows = n_cols + (1 if n_ids % n_cols else 0)
fig, axes = plt.subplots(n_rows, n_cols)
axes = axes.ravout = df.pivot(*df.columns).reindex(columns=range(23)).fillna(0).astype(int).agg(list,1)
Day
Monday [0, 0, 0, 0, 0, 0, 0, 65, 66, 66, 0, 0, 0, 0, ...
Tuesday [0, 0, 0, 0, 0, 0, 0, 68, 0, 68, 58, 0, 0, 0, ...
dtype: object
out = outCommunity Discussions
Trending Discussions on heartrate
QUESTION
I am creating an application which needs to fetch heartRate, restingHeartRate, walkingHeartRateAverage, HeartRateVariabilitySDNN data from HealthKit.
Also I want to fetch user's body measurement data. i.e body mass index, body temperature, height, waist circumference, weight.
To get read permission I need to get separate permission for each data type:
...ANSWER
Answered 2021-May-12 at 03:18Each HealthKit type must be authorized independently:
To help protect the user’s privacy, HealthKit requires fine-grained authorization. You must request permission to both read and share each data type used by your app before you attempt to access or save the data.
https://developer.apple.com/documentation/healthkit/authorizing_access_to_health_data
Apple foresaw the difficulty of asking for many HealthKit types at once, and suggests to ask permission for different permission types at various times in your app rather than all at once:
However, you don’t need to request permission for all data types at once. Instead, it may make more sense to wait until you need to access the data before asking for permission.
The HealthHit permission dialog also does have a single button that allows the user to enable all requested types:
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QUESTION
I have the following dataframe:
...ANSWER
Answered 2021-May-07 at 05:56I've used a combination of groupby and np.where and df.fillna() to accomplish your tasks.
There may be more efficient methods but I hope this helps.
Input the df
QUESTION
I am combining a bunch of different datasets to create an aggregation to analyse in 15 minute intervals.
The currently dataframe I have looks like this,
...ANSWER
Answered 2021-May-04 at 12:34There are two options, either we can use resample or pd.Grouper(which is performant).
Let me share example of pd.Grouper to add column values for 15 mins interval.
Code
QUESTION
I'm trying to combine different columns into one datetime object in Python.
Currently the dataframe looks like this,
...ANSWER
Answered 2021-Apr-25 at 10:09Solution
QUESTION
I am running a React Native app.
I want my checkboxes to be dynamic. The below code makes the checkbox dynamic but I am unable to get my desired format.
App.js
ANSWER
Answered 2021-Apr-20 at 08:27Try this way
QUESTION
I'm trying to fetch data from Realtime DB which I am uploading through my ESP32. I can fetch the data by pressing the Floating Action Button but I want this to work automatically, whenever the data changes. Any help would be greatly appreciated :)
...ANSWER
Answered 2021-Mar-29 at 15:49You can use StreamBuilder for this. StreamBuilder widget is mainly made for this only. It takes mainly 2 parameters, first is stream and other is builder. StreamBuilder listens for the change in stream and builder builds your UI then.
QUESTION
I am building an IoT Application in android studio and I am using Chaquopy - Python SDK for android so my python script will run when I press the button in the android application but somehow I am receiving could not open port error like this.
...ANSWER
Answered 2021-Mar-26 at 13:46"COM4" looks like a Windows serial port name, so that won't work on Android. Try using something like serial.tools.list_ports to discover the correct name.
Also, even if you do use the correct name, your app probably still won't have permission to access the port directly. If you're running on a rooted device, you may be able to get pyserial to work by changing the permissions on the port's device file. On non-rooted devices, the only option I know of is to use the Java UsbManager instead, perhaps with the help of a library like UsbSerial. You can still call these APIs from Python with the help of the Chaquopy Python API.
QUESTION
I am trying to get my firebase data and display it to my 7-segment using Arduino and I am getting the help of a python script to send data to the serial monitor. While it detects the Serial.available() inside the loop but I don't know how could I get that particular value and display its first digit to my 7-segment
Currently for the test I am just trying to display 1 if there is data matches inside serial monitor and arduino
Adruino:
...ANSWER
Answered 2021-Mar-25 at 17:20the problem was I was receiving 2\r\n from the database so to remove \r\n I used strip() to remove \r\n and it worked.
QUESTION
I'm a beginner in the Web Development world. I want to pair a BLE device (NRF52840 DK) with my mobile device through a web page. I tested an example for Web Bluetooth and it works fine on my PC as you can see on the following image:
Pairing my PC (Chrome) with a BLE device successfully
I did it through the popular extension Live Server on VS Code. When I tried to access to that page on my mobile (Android) using my IP and port, and pressed the button nothing happened.
Pairing my mobile (Chrome) with a BLE device unsuccessfully
Is there something that I'm not taking into consideration?
Here is the HTML & JS code:
...ANSWER
Answered 2021-Mar-23 at 13:57I don't think it's possible in the way you describe it. Web Bluetooth only works on pages which has HTTPS enabled. It works on localhost too for testing purposes. Since you access the web application via an IP-address which doesn't have HTTPS enabled, Web Bluetooth is not available.
https://web.dev/bluetooth/#https-only
You can test this by adding a text to the page with a boolean or other text which will show if web bluetooth is available.
QUESTION
I have time-series data in a pandas DataFrame that looks like this:
ANSWER
Answered 2021-Mar-18 at 15:24Just groupby and plot it:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install heartrate
You can use heartrate 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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