wave | Realtime Web Apps and Dashboards for Python and R | Dashboard library
kandi X-RAY | wave Summary
kandi X-RAY | wave Summary
Top functions reviewed by kandi - BETA
- Show the Dashboard dashboard .
- Create the dashboard .
- Show red dashboard .
- Mark a coordinate .
- Show Orange dashboard .
- Show Mint Dash dashboard .
- Show the dashboard .
- Show Blue Dashboard .
- Show the grey dashboard .
- Create a Table component .
wave Key Features
wave Examples and Code Snippets
ffmpeg -y -i audio.mp3 -ar 8k -ac 1 audio.wav
import argparse import random import numpy as np import pandas as pd import scipy.sparse as sp import torch import torch.nn as nn from load_data import * from model import * from sensors2graph import * from sklearn.preprocessing import St
import math import torch import torch.nn as nn import torch.nn.functional as F import torch.nn.init as init from dgl.nn.pytorch import GraphConv from dgl.nn.pytorch.conv import ChebConv class TemporalConvLayer(nn.Module): """Temporal convolut
import numpy as np import torch def evaluate_model(model, loss, data_iter): model.eval() l_sum, n = 0.0, 0 with torch.no_grad(): for x, y in data_iter: y_pred = model(x).view(len(x), -1) l = loss(y_pred,
Trending Discussions on wave
I'm having trouble understanding why my
coef() call is returning the same intercept and slope for every participant in my data.
For context, I am comparing two models (built in
lmer) using the
Model 1 is as follows
model1 <- lmer(Pen ~ wave + (1 | id), data = no_missing, REML = FALSE)
And model 2 adds a variable of interest
QEL and is
model2 <- lmer(Pen ~ wave + QEL + (1 | id), data = no_missing, REML = FALSE)
When I run
anova(model1, model2) I get the results as expected. But, my issue arises when I go to look at the coefficients (
I'm wondering why the intercept and slope (below) are the same for everyone? Have I not put my models together correctly to get an intercept for each person (i.e., are they based on a fixed effect rather than random effect)?
model1 and model2
ANSWERAnswered 2022-Apr-15 at 00:49
A situation like this is often a result of a
lmer() call that returns a singular fit. The random effect can't be supported by the data so (to put it in an oversimplified way) lmer "gives up" and calls all the random intercepts zero.
In the case of
model2, the model has only a random intercept for each
id and no random slopes. So if the random intercepts had non-zero estimates,
coef(model1) would show a different intercept coefficient for each
id, but the
wave slope coefficient would be the same in each row.
This often occurs when you only have a small number of data points per subject. This question on stats stackexchange might provide some help: https://stats.stackexchange.com/questions/378939/dealing-with-singular-fit-in-mixed-models. There are a few solutions proposed there. My favorite solution is to refit the model in a Bayesian framework which can deal with the small sample size issue much better. See also How to cope with a singular fit in a linear mixed model (lme4)?.
ANSWERAnswered 2022-Mar-31 at 10:51
You can use
igraph::all_shortest_paths but, unless I am missing something, reconstructing the matrix is still tricky.
EDIT: cleaned up
I want to validate user input asynchronously. For example, to check if email already exists, and perform validation while the user typing. To decrease API calls I'd like to debounce API calls with lodash or custom debounce function and to perform validation when the user stops typing.
So far this is my form right now. The issue is that it doesn't work as intended. It looks that denounced function returns a value from the previous call, and I can't understand where is the problem.
You can see a live example here: https://codesandbox.io/s/still-wave-qwww6...
ANSWERAnswered 2021-Nov-10 at 15:42
It looks that denounced function returns a value from the previous call
This is how lodash debounce is supposed to work:
Subsequent calls to the debounced function return the result of the last func invocation.
You could set
false and then call
formik.validateForm manually as a side effect:
I have started to create a form with Apps Script, using materializecss to create a menu with 3 different layouts.
- when I embed my URL to the New Google Sites, it doesn't use the layout (modal), I need to know how to select one of the 3 sidebar options.
- After submit, the form data is posted to the spreadsheet, but it doesn't redirect to a different page.
- it seems it will redirect without validating data, the if sentence is not connected to the redirect function.
ANSWERAnswered 2022-Mar-21 at 18:16
If you want to make a registration system I recommend php
I'm currently working on a longitudinal data base in R. Therefore, I have a lot of missing values, because the values of the variables which have been unchanged since the last interview are not added in the new database. For example in the first wave the sex is defined as boy or girl and it doesn't change between the first wave and the second wave, so they are not giving the sex in the second wave again.
Basically, what I would like to do is to merge the data I have selected for the second wave and merge it with the data from the first wave, in order to eliminate some NAs. However, I would like to only keep the columns I have selected from the second wave. For the moment, and after looking on the internet, I was only able to merge the two datasets but I'm not able to only keep the data from the second wave.
Here is my code:...
ANSWERAnswered 2022-Mar-18 at 18:24
We could use
inner_join in combination with
I found one beautiful ring with smoke animation, but I can’t fully understand it.
I want to change the size of this ring, let's say 80px. Also, so that only one given color remains here.
I tried to just reduce the pixels, but then everything generally breaks down.
How can I reduce the size of this ring and have only one color? Help me please....
ANSWERAnswered 2022-Mar-14 at 10:48
I have editted your snippet to suit your needs.
because this effect uses a
#wave, resizing it by setting the
width property will ruin the effect, because
#wave is not resized.
you can instead use
transform: scale(0.625) to adjust the scale.
I'm currently trying to print the following function in my plot and I'm not allowed to use any imports or other libraries:...
ANSWERAnswered 2022-Mar-09 at 16:49
As the error states, you cannot multiply a function with an Integer. You should write
I am using AvForm in React js. I want to reset the form after form Submission. But I am unable to reset the code unless I refresh the whole page. Whenever the form submits it retains the old value but not reset the fields
ANSWERAnswered 2022-Jan-17 at 20:02
You can get the
AvForm and use
I'm trying to create a sound using Fourier coefficients.
First of all please let me show how I got Fourier coefficients.
(1) I took a snapshot of a waveform from a microphone sound.
- Getting microphone: getUserMedia()
- Getting microphone sound: MediaStreamAudioSourceNode
- Getting waveform data: AnalyserNode.getByteTimeDomainData()
The data looks like the below: (I stringified Uint8Array, which is the return value of
getByteTimeDomainData(), and added
length property in order to change this object to Array later)
ANSWERAnswered 2022-Feb-04 at 23:39
In golang I have taken an array ARR1 which represents a time series ( could be audio or in my case an image ) where each element of this time domain array is a floating point value which represents the height of the raw audio curve as it wobbles ... I then fed this floating point array into a FFT call which returned a new array ARR2 by definition in the frequency domain where each element of this array is a single complex number where both the real and the imaginary parts are floating points ... when I then fed this array into an inverse FFT call ( IFFT ) it gave back a floating point array ARR3 in the time domain ... to a first approximation ARR3 matched ARR1 ... needless to say if I then took ARR3 and fed it into a FFT call its output ARR4 would match ARR2 ... essentially you have this time_domain_array --> FFT call -> frequency_domain_array --> InverseFFT call -> time_domain_array ... rinse N repeat
I know Web Audio API has a FFT call ... do not know whether it has an IFFT api call however if no IFFT ( inverse FFT ) you can write your own such function here is how ... iterate across ARR2 and for each element calculate the magnitude of this frequency ( each element of ARR2 represents one frequency and in the literature you will see ARR2 referred to as the frequency bins which simply means each element of the array holds one complex number and as you iterate across the array each successive element represents a distinct frequency starting from element 0 to store frequency 0 and each subsequent array element will represent a frequency defined by adding
incr_freq to the frequency of the prior array element )
Each index of ARR2 represents a frequency where element 0 is the DC bias which is the zero offset bias of your input ARR1 curve if its centered about the zero crossing point this value is zero normally element 0 can be ignored ... the difference in frequency between each element of ARR2 is a constant frequency increment which can be calculated using
I know there is a few questions on SO regarding the conversion of JSON file to a pandas df but nothing is working. Specifically, the JSON requests the current days information. I'm trying to return the tabular structure that corresponds with
Data but I'm only getting the first
I'll list the current attempts and the resulting outputs below....
ANSWERAnswered 2022-Jan-20 at 03:23
record_path is the path to the record, so you should specify the full path
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You can use wave 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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