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I'm a geologist and trying to make a time sheet application for my company with a poor C# knowledge and learning while programming.

I got a monthcalendar in my form and employee is choosing the dates he/she worked and saving to the datagridview (to the dateStart and dateEnd columns on mysql, so we got an date interval here).

I would like to highlight (or make bold, some specific look that employee can see which days he/she worked) date interval that are saved to the mysql database. So, all occupied dates that are inserted to the db in the past, should be marked somehow.

Do you help me please? Great thanks.

I am a geologist needing to clean up data. I have a .csv file containing drilling intervals, that I imported as a pandas dataframe that looks like this:

I'm an environmental geologist and I'm just learning Python/Pandas. I have a dataframe of analytical data in Pandas similar to the example below:

I only want to remove numbers from Total_dl leaving the detection limits (numbers with <). This would be the final dataframe I'm looking for:

Since the column is strings I'm not sure how to parse the column. Any help would be appreciated.

Thanks

I am attempting to build a signed release APK of my app. The app is currently associated to minSdkVersion 26 on the Play Store and I am trying to make it retrocompatible with API 21.

When I try to build a signed release APK in minSdkVersion 21 I get a fatal lint error.

I have read quite a few of the existing threads about this but nothing worked, I also analyzed my entire code and everything is ok (a very few orange warnings but no more major red errors). Please note that I do not want to use:

I have a database named sql_hr with one table employees.

Below is the content of an .sql file which creates sql_hr database with table employees in it:

I am trying to combine two different RGB images into a single 6 channel image (Tiff is best) using nothing but Python.

What I have is an RGB image taken from a normal camera as well as another RGB image that is a normal map based on a SfM reconstruction. The images have identical dimensions and I simply need to overlay one image on the other so that I can run an image classification based on the combined channel information.

I've been looking into using openCV for this, but I'm getting hung up on the documentation. I'm a geologist, not a programmer so my math skills and programming knowledge is mediocre at best.

I've been doing some digging and what I've tried so far is using OpenCV to create an array for each image, then using numpy to concatenate the resulting matrices and using PIL to put them together into an image. Trouble is the image shows both images side by side or on top of one-another rather than as a 6 channel image.

I don't think PIL can do what I need it to do, but I'm not sure how to use the openCV mixChannels function or how to even create a MAT in Python as the Mat::create documentation is entirely in C++.

I've come across another thread on this site, but they weren't really answered either as far as I can tell:

See here

I am trying to test the submission of an application using testcafe. However, I don’t seem to be able to get testcafe to click the ‘Submit Application’.

I have tried the following so far:

I'm trying to generate a GeoJson to send a Google Maps (Google API) on LineString type. I´m using Spring Boot.

Right now, I can generate a Json, but I can't find the way to "convert" or "transform" that Json.

I use a Model class to send the data from my query (I use MySQL). So, my idea its pass the point of lecture (the scanner name) with the respective coordinates.

This is my model:

I have this kind of text: