rval | minimalistic transparent reactive programming library | Reactive Programming library
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minimalistic transparent reactive programming library
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QUESTION
I want to iteratively process a master list of comparisons using group_walk() or group_map() as an alternative method to import batches of .csv files.
I would like to input a dataset that looks like this:
Test Assay Var1 Var2 Freq Assay1 neg neg 19 Assay1 neg pos 5 Assay1 pos neg 8 Assay1 pos pos 141 Assay2 neg neg 25 Assay2 neg pos 6 Assay2 pos neg 17 Assay2 pos pos 33 Assay3 neg neg 99 Assay3 neg pos 20 Assay3 pos neg 5 Assay3 pos pos 105I want to use the function epi_analysis and export a csv for each Test Assay (in this example Assay1, Assay2, and Assay3). So far I have:
...ANSWER
Answered 2021-Jun-06 at 01:50You need to call your function in group_map
. Also the function requires two arguments so pass the_dir_ex
as well.
Use this function -
QUESTION
I have Table element and one of the cells carries an Anchor Tag.
I want to get the Text of the Anchor tag of each cell.
i.e. If a Cell has a value as Hello
then I want to get the value as Hello
I used to have a dummy DOM by referring to this post:
Here is my working below, but it often gets a blank value or undefined. How can I do this?
...ANSWER
Answered 2021-May-28 at 13:31You are already getting a
tag i.e : var rVal = data[i][0];
so to get text you can simply use $(rVal).text()
or to get text from $('
').html(rVal).contents()
you can use el.text()
.
Demo Code :
QUESTION
code:
...ANSWER
Answered 2021-May-05 at 08:45I solved my problem. For people who may encountered this type problem in future; I solved problem with handling only one threads other than multiple threads. So the code takes below is shows camera on screen whenever you give input as 1. Now you can do whatever you want in main thread.
QUESTION
I wrote a script with annotations that get displayed upon hovering over data points based on some of the answers to similar questions by the user ImportanceOfBeingErnest. One of the changes I've made is that I only change the text and position of a single annotation and use it for more than one data set. This seems to cause the problem that the annotation only gets displayed for the last data set (or plotter, as I called them in my script) in the list of all data sets/ plotters.
How can I get the annotation to display for all data points of both scatter plots in my script? Do I have to make a new annotation for each data set and update them separately?
...ANSWER
Answered 2021-Apr-23 at 18:25The main problem is that the hover event gets triggered by the line instead of by the nearby scatter dots. So, this line should be excluded when connecting the motion_notify_event
.
Since ImportanceOfBeingErnest's and others posts about how to create annotations, they developed the mplcursors
library to strongly simplify the creation of this kind of annotations.
With mplcursors
you can simply call mplcursors.cursor(ax.collections, hover=True)
and automatically an annotation with x and y positions would be created. But easily can go much further. The example below also shows how to display the artist's label (here the 'artist' is one collection of scatter dots). Also, how to use the artist's color for the background of the annotation. Further, an extra attribute is added to the artist with a list of names. These names are then added to the annotation.
The code leaves out some of the elements that aren't relevant for the annotations, such as the large text.
QUESTION
I'm using FLIR Lepton camera to capture the thermal image, then try to display the temperature on the image using PutText method but getting very strange result. Any advice is appreciated in advance.
Code:
...ANSWER
Answered 2021-Apr-16 at 02:25Have a look here:
QUESTION
I'm trying to stream FLIR Lepton 3.5 with Python OPENCV using "VideoCapture" & "cv2.imshow" script. Then, I'll do some detection and control. Here's the problem I have, I was only able to get a very faint black/gray video stream with what seems to be a couple of rows of dead pixels at the bottom of the stream. This is expected since the output is supposed to be 16-Bit RAW image data. So,
- I'm trying to convert to RGB888 image data so the stream has "colors".
- Why is the stream video in static mode, it doesn't stream video like normal embedded notebook webcam?
I've tried the codes/scripts that were shared by others and even the example code from FLIR application notes, but didn't work. Your help is appreciated.
Environment: Windows 10, Python 3.7.6, PyCharm, OpenCV (latest), FLIR Lepton 3.5 camera/PureThermal2
Code:
...ANSWER
Answered 2021-Apr-07 at 12:26It's challenging to give an answer without having the camera.
Please note that I could not verify my solution.
I found the following issues with your code:
rval, frame = video.read()
must be inside thewhile
loop.
The code grabs the next frame.
If you want to grab more than one frame, you should execute it in a loop.normed = cv2.normalize(frame, None, 0, 65535, cv2.NORM_MINMAX)
Returnsuint16
values in range [0, 65535].
You are getting an overflow when converting touint8
bynp.uint8(normed)
.
I recommend normalizing to range [0, 255].
You may also select the type of the result to beuint8
:
QUESTION
I'm writing an adaptor class to allow me to write this:
...ANSWER
Answered 2021-Apr-04 at 02:32template
class ButFirst {
Container container_;
public:
ButFirst(Container container) : container_(std::forward(container)) {}
typename std::decay_t::const_iterator begin() { return std::next(container_.begin()); }
typename std::decay_t::const_iterator end() { return container_.end(); }
};
QUESTION
I've been writing a randomizing program, but when I put a randomizing function, rand() into it the output is always the same. It's written in c++. Example:
...ANSWER
Answered 2021-Mar-18 at 21:05Are you sure that genre is a char ? Your switch test '1' not 1..
QUESTION
I've created an SageMaker Endpoint from a trained DeepAR-Model using following code:
...ANSWER
Answered 2021-Mar-19 at 14:47I believe that Tarun might on the right path. The BrokenPipeError that you got is thrown when the connection is abruptly closed. See the python docs for BrokenPipeError. The SageMaker endpoint probably drops the connection as soon as you go over the limit of 5MB. I suggest you try a smaller dataset. Also the data you send might get enlarged because of how sagemaker.tensorflow.model.TensorFlowPredictor encodes the data according to this comment on a similar issue.
If that doesn't work I've also seen a couple of people having problems with their networks in general. Specifically firewall/antivirus (for example this comment) or network timeout.
Hope this points you in the right direction.
QUESTION
hello I have this df
...ANSWER
Answered 2021-Mar-07 at 18:10why not we are simply doing this?
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