resample | Go package for resampling sound data
kandi X-RAY | resample Summary
kandi X-RAY | resample Summary
Go package for resampling sound data
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- Generate a Reampler .
- Write implements the resampler .
- New creates a new resampler
- init initializes the CPU
resample Key Features
resample Examples and Code Snippets
Community Discussions
Trending Discussions on resample
QUESTION
I am trying to follow this tutorial here - https://juliasilge.com/blog/xgboost-tune-volleyball/
I am using it on the most recent Tidy Tuesday dataset about great lakes fishing - trying to predict agency based on many other values.
ALL of the code below works except the final row where I get the following error:
...ANSWER
Answered 2021-Jun-15 at 04:08If we look at the documentation of last_fit() We see that split
must be
An rsplit object created from `rsample::initial_split().
You accidentally passed the cross-validation folds object stock_folds
into split
but you should have passed rsplit
object stock_split
instead
QUESTION
I like to create some sampling effort curves for species data. Where are several study areas with a number of sampling plots, resampled over a certain time period. My data set looks similar to this one:
...ANSWER
Answered 2021-Jun-12 at 11:00I solved it with a for
loop
QUESTION
I have data in the following format:
...ANSWER
Answered 2021-Jun-10 at 12:53I'm not completely sure if I understand your intention correctly, but maybe the following helps you find a solution.
With the DataFrame df
from the data you have given
QUESTION
I read from a remote device some data every 5 seconds.
They are saved as:
...ANSWER
Answered 2021-Jun-11 at 09:12One way:
QUESTION
I have a timeseries dataframe of rain values for every given hour.
This is the current dataframe:
print(assomption_rain_df.head(25))
ANSWER
Answered 2021-Jun-09 at 16:36You are looking for DataFrame.rolling
. It creates a rolling window of size n
that you can perform operations with.
You want
QUESTION
My codes in following
...ANSWER
Answered 2021-Jun-08 at 09:22To be able to fiddle with the models after resampling its best to call resample with store_models = TRUE
Using your example
QUESTION
I have the following data:
...ANSWER
Answered 2021-Jun-08 at 18:23We can use
QUESTION
Just wondering if it's possible to pass byte data from io.
I'm trying to extract frames from a gif with ffmpeg then use Pillow to resize it.
I know you can extract frames from a gif with Pillow, but sometimes it butchers certain gifs. So I'm using ffmpeg as a fix.
As for why I'd like the gif to be read from memory is because I'm going to change this so gifs from urls will be wrapped in Bytesio instead of saving.
As for why I have the extra Pillow code, I did successfully get it working by passing an actual filename into the ffmpeg command.
ANSWER
Answered 2021-Jun-07 at 23:03For a single image your code is working fine.
It looks like you are missing proc.wait()
at the end and that's it.
For multiple images, you may take a look at my post here.
You may simplify the code, for working with images.
I made few changes to your code, to make it more elegant (I think):
- You don't need
'-vsync', '0'
argument. - I replaced
'-'
with'pipe:'
(I think it's more clear). - You don't need to set
bufsize
unless you know that the default is too small. - I removed
stderr=SP.PIPE
, because I wonted to see the FFmpeg log in the console. - I added
proc.wait()
afterproc.communicate
.
The code sample starts by building synthetic GIF image file for testing.
Here is the code sample:
QUESTION
I have some hierarchical data from 2003 to 2011 which bottoms out into time series data which looks something like this:
...ANSWER
Answered 2021-Jun-07 at 09:06I have created synthetic data to test your approach and it worked fine. I then arbitrarily removed data points to see if the aggregation would fail with missing dates and it skips missing values from the time series, as displayed on the output immediately below. Therefore, I still don't understand why your output stops in 2005.
Output without resampling and interpolation:
QUESTION
I'm working on a habitat occupancy prediction encompassing the entire state of Wyoming. Certain site covariate rasters work in the prediction while others with matched resolution, extent, etc. do not.
A short reproduceable example of my code is below. After extensive troubleshooting I've found I have 3 rasters of the 5 I need to use that cause this script to fail, all with the same error. I'm assuming my rasters have somehow become corrupted(?) but wanted to see if anyone has another idea on what could be happening.
Data is at this link. The data is the unmarked object (saved as .rds) and 2 very small clips off of: 1. the raster that works, and 2. one of the rasters that does not work
Steps I took to originally align the rasters for stacking - for information purposes ...ANSWER
Answered 2021-Jun-07 at 08:27Answer
The error arises because you have missings in sNoJoy
. Had those not been missing, it would have worked just fine.
Question rewritten
Your problem has nothing to do with your parallel code. It boils down to this:
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