I'm not a dev, I'm doing this for a school project. I'm trying to put the following dataset into a surface plot in windows gnuplot. qt type terminal, if that's important.
https://files.catbox.moe/nbc6l1.json
As you can see, it's a huge set of data. Pulled directly from an image and into a csv file, which I converted to json.
When I type in "splot 'C:\Users\tyler\ESRP Data\sampleOutput.json'", this is what I get.
As you can see, there's only a single line, when there should be something approaching an intensity chart in a 3 dimensional space. Is it a problem with the data? Do I need a specific command to do this?
It would help if you attached an example of your image data to the question, and also if you provided a link to a plot similar to the one you are trying to create. There are many different styles one might use to represent a surface. I will attempt to guess at a possible solution.
Input image (scribbled in GIMP and saved as a png image):
Gnuplot surface plot:
set border -1
unset tics
# surface represented by colored lines in 3D
# down-sample by 4x in each dimension to get an interpretable surface
set palette defined (0 "blue", 1 "white")
splot 'scribble.png' binary filetype=png every 4:4:4 using 1:2:3:3 with lines lc palette
Related
I have 4 sets of numeric continuous data that I used for regression analysis.
Now, I performed ROC analysis using "Fit Y by X" option of "JMP Pro" for each set of data which generated me 4 seperate AUC curves and graphs of ROC in the "JMP Pro" program.
I obtained these curves using the following steps:
My question is, how can I generate all of these graphs in one plot?
What I mean, when I did generated plots, it became like the two in the above of this attached picture. I want something like in the bottom of this picture
For example, the steps required in the software?
I have rainfall data which I have imported as a csv file. It's 185 lines like this:
Name, Longitude, Latitude, Elevation, TotalPrecipitation
BURLINGTON, -72.932, 41.794, 505, M
BAKERSVILLE, -73.008, 41.842, 686, 42.40
BARKHAMSTED, -72.964, 41.921, 710, M
NORFOLK 2 SW, -73.221, 41.973, 1340, 44.22
Looking at the layer properties the latitude and longitude are brought in as "double" but the rainfall amounts come in as "text" so I can't contour them.
How can I get beyond this point and where do I go to do the contouring? Do I go to Vector:Contour? Will it understand M is missing data or will the Ms still exist if this is converted to "double?"
I'm a little confused. Thanks for the help.
I think I might have the idea of help.
Since you have the sort of points located randomly across some area you could do as follows:
Load CSV to your QGIS in order to set the point layer with an attribute table including your most important value, which is Total Precipitation. Let's call it the TEST layer
Processing Toolbox -> TIN Interpolation -> Select the TEST layer. As an Interpolation attribute choose "Total precipitation". Use the green "+" symbol for adding this selection. Don't forget about the Extent option, where you could define the bounds of your interpolation. Preferably I wouldn't exceed the layer I am working on. Output raster size is also important - avoid a small number of rows. Put them about 10 optionally in order to make your interpolation efficient.
https://www.qgistutorials.com/en/docs/3/interpolating_point_data.html
Main bar -> Raster -> Extraction -> Contour
In the input layer select TEST, Interval contours between lines can be 10 (10mm in your case), Attribute name - put PRECIPITATION -> click Run
Your precipitation lines are ready! Now, you can Right-Click -> Properties -> Symbology (change color) or _>Labels (provide labels based on your attribute column Total Precipitation).
Bit of a challenge here which I've been grappling with for some time. I'll explain my full work flow so you can reproduce if needed.
I'm creating virtual landscapes in Google SketchUp which I ultimately would like to use in Netlogo to examine how turtles interact with them.
My problem is that by the time I get the landscapes into Netlogo the units don't seem to relate to the original 3D model.
Step 1: Create simple hill on a 50m by 50m square in Sketchup using the Toposhaper extension.
Step 2: Export to .dae file and import into Meshlab, ensure the Meshlab model has the same dimensions as the Sketchup model by adjusting the units with the assistance of the measuring tool. Export from meshlab as .xyz file.
Step 3: Import .xyz file into QGis as points by adding a new layer from delimited file. Selecting field_1 and field_2 as X and Y fields.
Step 4: Create raster of points using Raster > Interpolation > Interpolation. Add field_3 as interpolation attribute, set number of columns to 50 by 50 (to correspond to the 50m x 50m 3D model), adjust cell size X and Y to match to ensure Netlogo will read the resulting .asc file.
Step 5: Finally, I setup a model in Netlogo to receive the raster. Firstly, in model settings I set the the min and max pxor and pycor to 0 and 50. Then, using the Gis Extension, I import the raster apply the z-value to a patch variable called elevation:
to load-gis
set elevation gis:load-dataset "cone_50.asc"
gis:set-world-envelope-ds gis:envelope-of elevation
gis:apply-raster elevation target-elev
end
Now, each patch of my 50 by 50 Netlogo world should have an elevation value taken from my 50 by 50 raster. In theory, adding all the elevation values together should (roughly) give me the total volume of the raised area of the hill? The figure I get is higher however and the problem gets worse with larger volumes.
Can anyone help?
For example , if I want to plot Sin(z) where z is a complex variable , how I will achieve it in either Octave or Maxima?
I don't know about Octave, but here is a message about that, with some code you can try in Maxima: https://www.ma.utexas.edu/pipermail/maxima/2007/006644.html
There may be more specific information for wxMaxima -- you can try their user forum: https://sourceforge.net/p/wxmaxima/discussion/435775/
(referring Octave 4.0.0)
How do you want to try to represent the output of the function? Plotting either the real or imaginary parts of the output can be done fairly simply using a 3-dimensional graph, where the x and y axes are the real and imaginary components of z, and the vertical axis is either the real or imaginary values of sin(z). Producing those are fairly simple in Octave. Here's a link to a script you can save and run to show an example.
Simply change the g = exp(f) line to g = sin(f).
Octave-help mailing list example
Note that the imaginary part plot is commented out. Just switch the # between the different plot commands if you want to see that part.
Now, are you instead looking for options to map the Z plane (z=x+iy) to the W plane (w=u+iv) and represent closed contours mapped by w=sin(z)? in that case you'll need to do parametric plotting as described on this FIT site. There is a link to his Matlab program at the bottom of the explanation that provides one method of using color coding to match z->w plane contour mapping.
Those m-files are written for Matlab, so a few things do not work, but the basic plotting is compatible with Octave 4.0.0. (the top level ss13.m file will fail on calls to flops and imwrite)
But, if you put your desired function in myfun13.m for f, df and d2f, (sin(z), cos(z), -sin(z) respectively), then run cvplot13, you'll get color maps showing the correspondence between z and w planes.
wxMaxima has a plot3d that can do it. Since the expression to plot is in terms of x and y, I plotted the function's magnitude with abs(f(x+%i*y)):
plot3d(abs((x+%i*y-3)*(x+%i*y-5)*(x+%i*y-6)), [x,2,7], [y,-1,1], [grid,100,100], [z,0,5])$
I'm writing an application to scan numbers from an image.
The numbers are using the OCR-B font and may also contain + and > characters.
This is my source image:
The scans using Tesseract weren't very good, even when limiting the character set to the mentioned characters. As I didn't find any OCRB training files for Tesseract, I decided to train it myself.
I created this training image and made a box file from it. The box file is correct, all letters are matched correctly.
Then I did all steps described here to create the other necessary files.
Using this newly trained OCR-B tessdata-set, I get pretty good results on the source image, with one little bug: All 1s are mistaken for 8s and vice-versa. The command used to process the image was
$ tesseract esr2c.tif ocrb-esr2c -l ocrb
and the output for the source image was
0800000001456>8 00000195731208 8 01050008 023+ 08 0301226>20
If you swap all 1s and 8s and compare it to the source image, the output would be correct (except for the last two letters which I can ignore).
How could this happen? Did I do some mistake in the training process? How can I fix it?
It's likely that somewhere in your box file has incorrect values (characters) for 1 and 8. You can verify using jTessBoxEditor program. If so, correct, regenerate the language data file, and try again.
I have trained tesseract 2.04 after 1 month efforts for OCR A extended font. Its working very well and showing above 90 Accuracy with font size 14.
Training image should be high Contrast image.
Use "GIMP" image editor and do following
Menu Colors->Info->Histgram- Read Std Deviation value
colors-> Threshould -> Write "Std Deviation value" as Threshould value
Save image
Use it for training.
Check and edit your box file using "qt-box-editor-1.06.exe".It is very easy to use.
Check All boxes and characters in it.
It is very important. Somewhere in your box file has incorrect characters for 1 and 8.
Run other cmds.