contra | OpenData - Extractor de Informacion de contratos.gov.co

You have a resistive touch panel, where you have to select the direction with digital pins and read the resulting voltage with an analog-digital-converter (ADC). An Arduino has it built-in, but the raspberry pi does not have this built-in. If you want to use the raspberry pi, you need an additional ADC, that you connect to the raspberry pi.

Here you can find some more information how you could do it with an arduino: https://www.instructables.com/Resistive-Touch-Screen-on-the-DP32/

I found some issues in your code:

• You try to append table rows (tr) to table head cells (th) and then append these cells to a select tag. Which doesn't make sense because the cells should be added to the row and, more important, you aren't using a table. Therefor they should be option tags.
• Your json is not correctly formatted: You aren't closing the json object and "Estados" (missing closing curly brackets).
• "Estados" should be an array of objects over which you can iterate (arraymembers.forEach).
• "Estados" shouldn't have a Capital letter at the beginning or you should call it with myObj.Estados
• Your radio buttons have no value, just name and id.

Working example:

Since i can't use your ajax request (cross origin policy) i hardcoded the data as a var for demonstrating the solution.

This is because, unfortunately, PATCH is not a legal verb for HttpURLConnection

See the Javadoc for HttpURLConnection#setRequestMethod

Does this get you where you want to be?

If I understand correctly, you are trying to capture only one # symbol at the beginning of each line.

The regular expression that helps you solve the issue is: r"(?:^|\s)(?:[#]\ )(.*\n+##\ ([^#]*\n)+)". The brackets isolate the capturing or non capturing groups. The first group (?:^|\s) is a non capturing group, because it starts with a question mark. Here you want that your matched string starts with the beginning of a line or a whitespace, then in the second group ([#]\ ), [#] will match exactly one # character. \ matches the space between the hash and the h1 tag text content. finally you want to match any possible character until the end of the line so you use the special characther ., which identifies any character, followed by + that will match any repetition of the previous matched character.

This is probably the code snippet you are looking for, I tested it with the same sample test you used.

It was easier than I thought. I was looking for solutions with packages such as sjlabelled or labelled but the solution was just in a simple conversion:

test$partido_label <- as_label(test$partido) and test$comision1_label <- as_label(test$comision1)

Still would like to know how to easily do that for many variables at once. Maybe with dplyr.

Tesseract can use the gradients around text as part of its detection, so I'd suggest you avoid thresholding where possible, as it removes the gradients (anti-aliasing, as mentioned by fmw42) from the image.

Instead here I'd suggest inverting the image after you grayscale it, and then if necessary you can reduce the brightness to make the more grey text a bit blacker, and increase the contrast to make the grey background a bit more white. If you do need to adjust the brightness and/or contrast I'd suggest using cv2.convertScaleAbs to do so efficiently and avoid integer overflow problems.

By looking at your image it is evident that you have a red point that is way to the northeast of the USA. This point is absent from your supplied example set. I will simulate a similar outlier, but the code should fix the projection problem.

The points set:

It is always nice to keep your code clean by keeping everything inside a separate module and importing it. But there is a thing, or two, to note with tkinter.

• Whenever you say Tk() you are creating an instance of a Tcl interpreter. So now throughout the code, this interpreter will be used, unless mentioned to use a new one. So if you import the new file, make sure to say destroy the old Tk() before making one more Tk().

• But here I think its better here to use Toplevel() for your new window instead of Tk() and instead of menuPrincipal.destroy() say menuPrincipal().withdraw() to hide the main window and later menuPrincipal.deiconify() to bring it back up whenever you please to do so.

I don't know much about your code, so if you don't intend to reuse the window you are destroying, then you can proceed with destroying it instead of hiding it.