interp2 | yet another language interpreter written in Go | Interpreter library
kandi X-RAY | interp2 Summary
kandi X-RAY | interp2 Summary
A simple BASIC interpreter written in Go. I wrote this for trying out the yacc tool provided by Go. Refer to parse.y for the grammar. To generate the parser, run go generate. Run go build to build the interpreter.
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Top functions reviewed by kandi - BETA
- Parse implements yaml . Parser
- yErrorMessage returns a description of an error .
- ylerx1 returns the char token and token .
- y . yaml block
- YyTokname returns the name of the named token .
- yStatname returns the name of the year in s .
- NewLexer returns a new Lexer .
- RunStmtBlock runs the given block .
- yNewParser returns a new yaml parser .
- yParse parses a yaml file .
interp2 Key Features
interp2 Examples and Code Snippets
Community Discussions
Trending Discussions on interp2
QUESTION
I'm a Computer Engineering student at Baskent University(Turkey,Ankara).
Can i use matlab k-wave toolbox codes in visual studio via like importing or creating the library or something, I need to know that for my Gradutation Project.
For example :
...ANSWER
Answered 2021-Apr-25 at 19:00it is not a trouble-free path, but you can use matlab engine, see examples here
basically, you call engEvalString() to run matlab commands inside an invisible matlab session in the backend.
if you just need a result, you can use system calls (ShellExecute orShellExecuteEx) and call
/path/to/matlab -nojvm -nodesktop < /path/to/yourscript.m > cmdoutput.txt
to invoke a matlab session.
QUESTION
I am trying to interpolate images with the fast linear interpolation method from Jeffrey Wu 1 but it fails. The Matlab standard method is
...ANSWER
Answered 2021-Feb-14 at 13:13In the description at the link you provided, I can see these two points:
- Order of X/Y arguments switched for 2d and 3d interpolate
- Only takes a scalar query value (I will change this sometime perhaps, when I feel like it, or if I see that people actually care and want to use my function)
After looking at the code, my understanding of point (4) is that the input image should be transposed.
My understanding of point (5) is that the query values xo and yo must be scalars (so you must iterate over the image in a loop).
More importantly, the lazy and informal nature of this "documentation" suggests to me that you should think very carefully before trusting this code.
I find it almost impossible to believe that this could be faster than interp2 when processing a whole image. It literally calculates a single pixel value by bilinear interpolation:
QUESTION
I have many lines that represent a "z" value and want to interpolate at a specific value between them, at a specific x-axis location, to get the y-value. I'm trying interp2() but it throws a 'monotonically increasing' error.
The dataset below is a subset. I broke it out into xyz-1 and xyz-2 just for easy plotting in this question (i.e., making a repeatable example). How can I fix my interp2() or the inputs?
ANSWER
Answered 2020-Nov-06 at 00:10You can interpolate the value with:
QUESTION
I have a question concerning 2D interpolation of non-equally spaced values in R. I was able to do a 2D linear interpolation with equally-spaced values using the interp2() from the pracma package (see example below).
Equally-spaced 2D linear interpolation
...ANSWER
Answered 2020-Oct-30 at 17:06You have simply mixed up the xp and yp arguments of interp2:
QUESTION
For example, I have a index array
...ANSWER
Answered 2020-Sep-08 at 09:56It seems that you over-corrected yourself by passing from MATLAB to Python, as shown by your first code excerpt.
QUESTION
I have this matrix in MATLAB:
...ANSWER
Answered 2020-May-12 at 09:07Maybe you can try interp1 + arrayfun like below
QUESTION
I have the following data which in MATLAB is easily being interpolated using the interp2 function. However in Python with the use of interp2d, the following error encounters:
ANSWER
Answered 2019-Jul-08 at 22:47I ended up using griddata instead. The key here is to have flattened data before any interpolation. Therefore I used the .ravel() to do so.
QUESTION
In attempting to convert an image back from polar to rectangular, I can't get my code to cover every angle in the polar image, so I have attempted to solve this by converting the image back by each half, but I end up getting a line artifact in the middle of the image. I want to know how to get the conversion to work for all angles when going from polar to cartesian.
...ANSWER
Answered 2019-Jun-21 at 21:44I think you just need to center x, y correctly around axis origin.
Replace:
x=(1:n)-(n/2);
y=(1:m)-(m/2);
With:
x=(1:n)-(n/2) - 0.5;
y=(1:m)-(m/2) - 0.5;
QUESTION
Hello
I want to represent data with 2 variables (latitude and longitude) in 2D format. The value is represented by color and the 2 variables as the 2 axis and I am using the contourf function to plot my data. All the data comes from a xlsx file and I put it in a matrix.
ANSWER
Answered 2018-Oct-17 at 14:33Since you are doing an interpolation on a square grid, you could directly display a 2D image with imagesc.
The advantage is that you can access the AlphaData property of image objects, which can be used as a display mask.
QUESTION
I have two datasets: (x, y1) and (x, y2). I'd like to find the location where these two curves cross one another. The goal is similar to this question: Intersection of two graphs in Python, find the x value:
However, the method described there only finds the intersection to the nearest data-point. I would like to find the intersection of the curves with higher precision than the original data spacing. One option is to simply re-interpolate to a finer grid. This works, but then the precision is determined by the number of points that I choose for the re-interpolation, which is arbitrary, and requires a tradeoff between precision and efficiency.
Alternatively, I could use scipy.optimize.fsolve to find the exact intersection of the two spline interpolations of the data-sets. This works well, but it cannot easily find multiple intersection points, requires that I provide a reasonable guess for the intersection point, and probably does not scale well. (Ultimately, I would like to find the intersection of several thousand sets of (x, y1, y2), so an efficient algorithm would be nice.)
Here is what I have so far. Any ideas for improvement?
...ANSWER
Answered 2018-Dec-13 at 22:47The best (and most efficient) answer will likely depend on the datasets and how they are sampled. But, a good approximation for many datasets is that they are nearly linear between the datapoints. So, we can find the approximate position of the intersection by the "nearest datapoint" method shown in the original post. Then, we can refine the position of the intersection between the nearest two data points using linear interpolation.
This method is pretty fast, and works with 2D numpy arrays, in case you want to calculate the crossing of multiple curves at once (as I want to do in my application).
(I borrowed code from "How do I compute the intersection point of two lines in Python?" for the linear interpolation.)
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