Peaky | public method on concrete type | Reflection library
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kandi X-RAY | Peaky Summary
Any public method on concrete type derived from IPeakyTest.
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QUESTION
Usual disclaimer: I'm very much a novice when it comes to Tableau (and R, which is my preferred data wrangling language).
Here's what I'm trying to do:
I have a dataset which has multiple variables, two of which are "time" and "genre". Here's an example of what the data looks like:
...ANSWER
Answered 2021-Apr-12 at 19:55If you looking at large volumes of data where the order/sequence of data rows is critical to analysis, you would do well to learn about SQL windowing queries, regardless of the visualization tool you use.
The simplest approach would be to start with a pre-processing step to feed simplified data to your visualization layer, either using Python, R, possibly with Tableau-Prep or some other tool. Doing that is easier if you can very clearly define the information you need to display at the end and work backwards to determine what the pre-processing step should produce to enable that viz.
If preparing data up front is too static, doesn't allow you to interactively explore as desired, you can then pull some of the pre-processing into the interactive layer, perhaps using Tableau's custom SQL or pass-through functions to call some of the same SQL you developed in the pre-processing step.
In any case, windowing queries aka analytic queries may be useful for this.
QUESTION
I'm trying to import a function 'getMoviesList' written in action/index.js but getting an error even though my code and paths are correct Please have a look on my App.js ( where I'm trying to import that function ) and ./action/index.js ( where I have defined that function )
App.js
...ANSWER
Answered 2021-Mar-01 at 19:36change import { getMoviesList } from './actions'; to import getMoviesList from './actions'; as getMoviesList function is exported as default. As a result, it should be imported without using curly braces.
QUESTION
I'm trying to make new element using createElement method. But in this case I want id attribute should change as variable changes while adding Dynamic Input using Button.
Uncaught SyntaxError: Unexpected identifier
Here, I'm using \n for new line for formating input in createElement method.
Below code was working If I remove script tag. But in this case I want script tag for using select2.
ANSWER
Answered 2021-Jan-23 at 16:19It is a little unclear what the real objective ultimately is but you said you need to insert new HTML elements and new scripts( why though ? ) ~ you can use createElement to create all of these things, including new scripts. The following is loosely based upon the code you provided - a new Select will be created in the #add div and anew script element will also be added - though it is of limited use "as-is"
QUESTION
I'm using Leafler to create a map for a video game (Arma 3). I already created some markers and layers but now I would like to create a control panel to display or no the layers on my map.
Here is my code from the app.js. Could someone help me to find the right procedure to add the controll panel with checkboxes.
...ANSWER
Answered 2021-Jan-13 at 12:04Look into: Leaflet Controls
QUESTION
I'm learning Javascript, and I have a problem with arrays in Javascript, and I have to do a class called "TV Show" with title, thematicand and actors (actors with array) Then, I have to do a function to grab a specific actor and classify it as "favorite" randomly.
Once done, I get an "empty" array.
This is my code.
...ANSWER
Answered 2020-Oct-31 at 13:57that ? ( using Destructuring assignment )
QUESTION
About a couple of weeks ago, I started learning about Regular Expressions. For practice, I thought of extracting different topics(along with their respective times) present in the description section in youtube videos(youtube uses this to slice the progress bar and each slice represents different topic). Example: for https://www.youtube.com/watch?v=E4M_IQG0d9g, the description looks something like below
...ANSWER
Answered 2020-Aug-23 at 06:40const re = String.raw`([-a-z :]*)([:\d]+)$`;
const matches = input
.match(new RegExp(re, 'gmi')) // we only want timestamped lines
.map(match => match.match(new RegExp(re, 'i'))) // split into timestamp and string
.map(([,str,time]) => ([time, str.trim()])); // only keep timestamp and string
QUESTION
I have a dataframe that looks something like this:
...ANSWER
Answered 2020-Apr-30 at 17:58I have come up with this solution. However, I'm unsure about how will it work when the number of records per day is different (i.e. you have 8 titles for day n and 15 titles for day n+1). I guess you would like to normalize with respect to the day with more records. Anyway, here it comes:
QUESTION
due to the fact that now there is a possibility to slice array with sneaky peaky way like arr[1..4] I wanted to slice 2D array.
Consider the following:
...ANSWER
Answered 2020-Mar-16 at 16:04This one will work... you need to slice each row in the subset generated from the first slice, and not the collection of rows itself:
QUESTION
I have got a ndarray shaped into 2D matrix of values between 0 and 255. Let's name it img. Moreover, I have got value x between 0 and 255, for example 120. I want to create matrix dist_img which calculates distance to nearest value x or lower. So I would like to have something like this:
...ANSWER
Answered 2020-Mar-03 at 11:19Make a mask of the values that match the condition and then use scipy.ndimage.morphology.distance_transform_cdt to make the distance map:
QUESTION
A somewhat new to numpy user, trying to see a "how to in numpy" solution to an algorithm-in-numpy-syntax problem.
I hope it's OK to ask for some help here, as I'm stumped and would love some advice - I hope this isn't TLDR'ish !!
Background:
I'm trying to calculate "prominence" manually to remove peaks from peak-finding, and trying to see if there is a simple "numpy" way to do that, rather than for loops.
Before anyone says, I know scipy.find_peaks can remove peaks with specified prominence, but I was trying to figure out how to do it by-hand using numpy syntax, not for looping over indexes (I know C, I'm trying to learn numpy...):
Reason:
The reason is I need to change the existing scipy logic from "if prominence on either left or right side of a peak is OK (ie big enough), then the peak should remain" to "if either left or right prominence is too small, then delete the peak".
This is equivalent to changing the max(left_min, right_min) code on line 252 of the scipy code to a min(left_min, right_min)
The scipy _peak_prominences code to find prominence values uses for loops foward/back over the arrays - I was trying to learn if that is possibly in numpy notation/syntax (without for looping), but after a day's effort, couldn't figure out how to do that - so would love some numpy advice!!
The conceptual logic is simple: find peaks in a profile (1d array), then calculate the height of each peak over the left/right neighbouring valleys (ie the "prominence"), and then remove peaks whose left or right height is less than a certain threshold - ie they aren't "peaky" enough on both sides.
In the example above I want to remove the two center peaks, because the height (prominence) of both over the central "valley" is too small - even though the surrounding two outside valleys heights OK.
So, my numpy help question:
I know if I have a peaks array that is indexes into a profile array, I can use np.delete to remove "not peaky enough peaks", if I can calculate a left_height and right_height set of arrays for each peak:
ANSWER
Answered 2019-Sep-07 at 00:15That's an great way to learn! :)
The first version of peak_prominences was actually added as a pure Python implementation which you can find here.
That implementation still loops over each peak once and is obviously slower than the Cython implementation but may still be what you are looking for. You'd essentially want to change how the contour height is calculated on the lines 403 and 404 as you suggested yourself already.
what I can't figure out is how to, numpy-wise, calculate the left_height and right_height arrays. Something like
left_height = profile[peaks] - profile[peaks[-1]:peaks].min()
You seem to have gotten quite close to to the solution in at line 382 to 400 where the left and right height are calculated (ignore the window related stuff earlier). Here is the crucial bit that finds the left and right height for a single peak using your variable names:
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