siphon | simple program for moving files | Incremental Backup library
kandi X-RAY | siphon Summary
kandi X-RAY | siphon Summary
siphon is a simple program for automatically moving files from one machine to another over ssh. I often find myself with in a situation where files are generated on one computer, but need to be moved to another computer before they can be used. I got tired of configuring tools like btsync and Dropbox, which are clearly overkill for this type of problem, so I wrote siphon. siphon is simple. It moves files from one directory to another. Directories can be on the same machine or on different machines. Any new file that appears in the source directory will automatically be moved by siphon to the destination directory. siphon checks for new files in the source directory at a periodic rate. The default check rate is 60 seconds.
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QUESTION
I'm trying to plot GOES-East full disk data using metpy, and Siphon to download the latest data from the THREDDS data server. However, after comparing my plots with the realtime imagery, ther seems to be a large difference.
Below is my code:
...ANSWER
Answered 2021-Aug-20 at 19:45What you're seeing is that your image is flipped (it's easier to identify if you look at the global plot of that data). What's happening is the origin you specified ('upper'/'lower') disagree with what you passed as extent. So either tweak your origin
parameter:
QUESTION
I want to embed a MetPy SkewT diagram in a PyQT5 GUI. The following code creates a SkewT diagram:
...ANSWER
Answered 2021-Aug-10 at 18:51I suggest you to create a separate python file ui.py
where you set up your PyQt5
window, with widgets, layout etc. I use Qt Designer for this purpose.
You should organize your working directory as:
QUESTION
So I have two different tables, a users table and an articles table. The idea is to allow a user to rate an article, but only allow them to rate it once (possible change their existing rating too but I can come to that conclusion later).
As of now I just have the update value working to allow them to rate the article, but of course a user can rate an article as many times as they want.
To give you an idea of how I have everything working, when a user logins in, a session is created with their user information. So when they go to rate an article, I have the ability to check the user, I just don't know how to stop them from rating if they have already rated a specific article.
The user table consists of among other things their username and their unique ID
and the article table consists among other things the article contents, the article unique ID, and the articles rating.
I had some really sloppy ideas like when the user rates an article their ID gets stored into the articles row in some kind of "users who have rated" column, and then I can do a for loop or something to siphon out all the user IDs and then check if their ID exists in that articles entry but then each article would have a row with possibly hundreds or thousands of userIDs on it and there seems like there would be a more elegant way.
Any help or direction is appreciated :)
...ANSWER
Answered 2021-Aug-08 at 15:04Create a UserRatings
table which has foreign keys to the users table and the articles table, and stores a row linking the user to the article, and the rating they gave it and when it occurred.
Then if a user tried to rate it again you just check this table for the user ID/article ID combination before allowing it.
And then if you wanted got can do things like show the user a list of articles they have previously rated, etc
QUESTION
I built a python program that will siphon through my email and retrieve lat/long pairs of worksites that will be relevant for future analysis. At the moment I have the following dataframe returned.
...ANSWER
Answered 2021-Jun-14 at 15:40There is no pre-built way for your exact transformation, so you have to create your geometry objects yourself. I assume you meant one LineString
object per row in in your DataFrame. With little typing, you could create such a column using the powerful apply
method.
QUESTION
I'm kinda new with Metpy. I've been trying to calculate the temperature advection with Metpy but it's been unsuccessful. Since I'm new with this package, I don't understand why needs to have units to work properly. When I calculate temperature advection I end with some weird lines on my maps and I don't know why. I think it's because of the units or something but I'm not sure. I attach my script below:
...ANSWER
Answered 2021-Apr-19 at 18:28advection
is definitely one of the trickier functions to use in MetPy. Since you're using netcdf4-python to open the files, you definitely want to multiply with the units on the left, like:
QUESTION
I am trying to plot recent sea surface temperature data on a map. I got it working when I downloaded the netCDF4 file, but when I try to access the file from https://www.ncei.noaa.gov/thredds/, I get a TypeError saying, "Input z must be 2D, not 3D". The downloaded file I used originally was from: https://psl.noaa.gov/ Here's what I have:
...ANSWER
Answered 2021-Apr-17 at 17:14I did not consider zlev when pulling the data out of the dataset. Changing
QUESTION
I am working with the NDFD forecast datasets and would like to assign lat and long within the array to give me the ability to plot the data outside of matplotlib. My versions are:
python 3.8,metpy 1.0.0,cartopy 0.18.0, xarray 0.16.2, siphon 0.8.0
...ANSWER
Answered 2021-Mar-11 at 19:57assign_latitude_longitude
requires that information about the CRS is available, so that it can properly calculation longitude and latitude from your projected coordinates. This means that you first need to have called parse_cf()
in some way. In your code above, you save the results of calling parse_cf('Total_precipitation_surface_6_Hour_Accumulation')
to var
, but this does not modify the original Dataset
stored in ds
.
Instead you need to either call it on the variable that has had the information parsed as:
QUESTION
In Python I'm using a class out of library. I only want to call certain functions if a certain parameter is set.
For example:
...ANSWER
Answered 2021-Jan-25 at 20:28Something like this may work:
QUESTION
I followed the example here (https://unidata.github.io/python-gallery/examples/Precipitation_Map.html) but when trying to access the units I get a dimensionality error. I'm assuming this is to do with pint
and the way it parses units and the fact precipitation is a rate. Any help would be appreciated
ANSWER
Answered 2020-Oct-19 at 17:20This is caused by the fact that the units string for that variable is kg.m-2.s-1
, which is a UDUnits-compatible string, but does not work with the default unit parser in Pint, which is what MetPy uses for unit support.
This is fixed in MetPy 1.0. You can install the second release candidate for MetPy 1.0 with conda:
QUESTION
I am new to plotting and examining wx data using python. I started with this example 850 hPa temp advection and its failing at this statement.
...ANSWER
Answered 2020-Jul-13 at 16:19This is happening because that URL is out-of-date. NCEI has updated their TDS URLs for model output from https://www.ncei.noaa.gov/thredds/ncss/grid//
to .../thredds/ncss/model-/
and in the case of historical datasets, .../model--old/
. So in this case, your correct base_url
would be https://www.ncei.noaa.gov/thredds/ncss/model-gfs-g4-anl-files-old/
Important follow-up note, that python-gallery
example collection has been retired and so is out of date. The more up-to-date gallery is available at the Unidata Python Training website, though the NCEI TDS URLs throughout that site are currently out-of-date as well. Hopefully for not much longer!
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