kev | Python ORM for key-value stores | Object-Relational Mapping library

Create the data:

If I understand correctly you could do this:

Have you tried ax4.bar(data["Energy [keV]"], data["Counts"], width=1, align='center')?

You can implement a safe pipe that facilitates the DomSanitizer like so:

I won't tell you where the bottleneck is, but I can tell you how to find bottlenecks in complex programs. The keyword is profiling. A profiler is an application that will run alongside your code and measure the execution times of each statement. Search online for python profiler.

The poor person's version would be debugging and guesstimating the execution times of statements or using print statements or a library for measuring execution times. Using a profiler is an important skill that's not that difficult to learn, though.

For aggregation you can use $function to execute custom code. However that kind of defeats the purpose of pagination as Mongo has to execute this code for each document, additionally it is recommended not to execute js in Mongo as it has somewhat bad performance.

It seems like you're just using the wrong database for the job, If this is a crucial feature I recommend trying a text search db like atlas search or elasticsearch

If changing db is not an option, and this feature is too important to remove or alternate. maybe if your provide additional detail as to how the scoring works it'll be easier to give a full answer.

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try to put the path this way

As you may be aware, doing the convolution of the two histograms with the same bin size will give the histogram of the result of adding each element of one of the samples with each elements of the other of the samples.

I cannot see exactly what you are doing. One important thing that you seem to not be doing is to make sure that the bins of the histograms have the same width, and you have to take care of the position of the edges of the second bin.

In code we have