HRV | analyzing heart rate data using an iPhone camera | Camera library
kandi X-RAY | HRV Summary
kandi X-RAY | HRV Summary
Experiments with collecting and analyzing heart rate data using an iPhone camera
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QUESTION
I want to push
my commits to GitHub, but it doesn't allow me because the file Extras.pkl
is too large. I have (accidentally) added that file 7 commits back in dfa4bfe
, but is currently nowhere to find in my repository (it appears to be deleted). git revert dfa4bfe
prompts
ANSWER
Answered 2021-May-12 at 09:04Following the github page regarding sensitive information, I have resolved the issue. For future reference and others:
Skip the following 2 steps if the problem is within your local repo:
git clone https://github.com/YOUR-USERNAME/YOUR-REPOSITORY
cd YOUR-REPOSITORY
Change PATH-TO-YOUR-FILE-WITH-SENSITIVE-DATA
to your file location, but leave the quotation marks.
git filter-branch --force --index-filter \ "git rm --cached --ignore-unmatch PATH-TO-YOUR-FILE-WITH-SENSITIVE-DATA" \ --prune-empty --tag-name-filter cat -- --all
- Press enter twice
git push ORIGIN MAIN
QUESTION
I've got (probably) quite a simple problem that I just cannot wrap my head around right now. I'm collecting the following two series:
...ANSWER
Answered 2021-Apr-25 at 02:59In response to your comment, I reviewed the data again. I reworked the data for each country as NA data existed, and found that all of the data was for 10 years. The method @Paul commented on is possible, so I modified the code.
QUESTION
I have a table that looks as follows (data posted below):
I would like to exclude all iso3c
(the three letter codes) for which var
has not at least three values (i.e 0,1,2,3). As example, for AGO
the only value is 0
. So this one needs to go. The next one ALB
can stay, because the value goes up to 3
. I want to do something like, setDT(DT)[max(as.numeric(as.character(var))) <3, iso3c:=NA, by="iso3c"]
. But that does not do anything to the data.
Any ideas?
...ANSWER
Answered 2021-Mar-24 at 16:47Grouped by 'iso3c', get the count of unique elements in 'var', create a logical vector out of it, get the row index (.I
) and subset based on that column
QUESTION
This is a subset of my data:
...ANSWER
Answered 2021-Mar-06 at 17:15Maybe use summarize across to get all the rows at once.
QUESTION
Why can't I use a wildcard for this?
...ANSWER
Answered 2020-Jun-22 at 15:20You cannot use wildcard in the #include
directive.
But you can use a preprocessor code like this:
QUESTION
I am trying to create a grouped new variable in R that is based on the lagged value of a another variable.
My data.frame looks like this:
...ANSWER
Answered 2020-Nov-11 at 10:29Try using this :
QUESTION
I have been trying to build a world choropleth maps with Highcjart but all areas in my map are appearing the same color even though the range's are different. The values are showing up in the tooltip. I took inspiration from the example here :
https://jsfiddle.net/gh/get/jquery/1.11.0/highslide-software/highcharts.com/tree/master/samples/mapdata/custom/world-continents
I have noticed that in my tooltip
Highmap is not reading the point.region
, or point.value
nor the point.name
I look all around to different problems people are facing with this on Stackoverflow suc ah these:
Highcharts: Highmaps - Choropleth maps - All states are the same color Highmaps - Choropleth maps - All area are the same color
but that didn't seem to fix my problem.
...ANSWER
Answered 2020-Oct-15 at 14:04You need to correctly connect your data to the mapdata:
QUESTION
I have this collection of objects that I would like to transform:
...ANSWER
Answered 2020-Oct-13 at 22:30Object.keys()
returns an array but you are not treating it as such.
If you know there is only one unknown property name you need to transpose and you know all the other property names you could de-structure the object using the known properties and ...rest
and use Object.entries() to set up the name and value
QUESTION
I try to find the name of a country through the name of a city. pycountry did the work for me!
...ANSWER
Answered 2020-Jun-23 at 20:53try this:
QUESTION
I have a data source based on ISO3 country codes and I wish to visualize it using geopandas. The source I am using is based on world bank data and contains more countries than the target in GeoDataFrame.
I used the code below to achieve the visualization I was looking for. Some lines of codes correct missing abbreviations in the world
layer (see https://github.com/geopandas/geopandas/issues/1041 for more info).
Now I have two problems.
- (major) The code is not very elegant. Does someone know a more elegant was to import the data into the
world
GeoDataFrame? - (minor) I get a matplotlib warning I do not understand:
RuntimeWarning: invalid value encountered in less xa[xa < 0] = -1
Basic code to reproduce the problem is below. Sorry for the long arrays, but the data is necessary to reproduce the problem.
...ANSWER
Answered 2020-Jun-18 at 15:27I think you'd benefit from placing your arrays into a dataframe and then merging that with your world
geodataframe. So what you have would become:
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