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I have line plots that show the variations of several dependent variables as function of an independent variable and bar plots that show the average value of each of the dependent variables (see figure below). Due to some editorial constraints, I want to present this information in a compact yet clear and visually appealing way (preferably in one plot instead of two). Any ideas how to achieve this using Matplotlib?
You may display the averages as horizontal line in the first plot.
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Should I normalize input data to normal distribution before fit it into RNN? If yes, why? At the moment almost all the columns are right shifted, so it's not a normal distribution at all.
You do not necessarily need to transform the inputs to a normal distribution, but you might want to preprocess them so that the majority of each of their values is between 0 and 1. Otherwise, when using sigmoid functions for internal nodes, you may cause saturation. If your inputs are each U(0, 1000), for example, then there's no need to transform to normal distributions, but rather to just scale by 0.001.
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I am using excel-vba tool and trying to customize it as per below -
I have the below linked chart.
All the characteristics (Color, Bars, …) are good to go. (The user enters dates in another table.) But: the horizontal axis should start on the first of each month.
This Template should fit for all kind of projects – no matter if it’s a 6 month time frame or 3 years.
There should be the same amount of “marks” (means an interval of “every 2 months” wouldn’t work at all, because for an 3 years project, this would black out the whole chart).
Note: not each each month! Each shown month.
The chart can be refreshed every time by a button, so it won't have to run and check for changes all the time.
I’m relatively new to “the art of the vba” and don’t know how to get there at all. Can you help me out?
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I'm looking for some guidance here. I primarily am a frontend developer. What I am trying to figure out is how an algorithm can be implemented to count kernels on an ear of corn.
From my initial research it seems there are a couple of different directions to go. Main ones I have seen are a SIRF type of implementation and others call for conversion to the HSV color space or LAB color space in order to then to normalizations and then counting.
For reference usually the corn that will be counted is "dent" corn. Here is an example:
This will be implemented in VB.net, but I can always translate the algorithm if needed.
Thank you for your help!
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How can I convert latitude and longitude into magnetic variation for an IOS app (Objective C). I am looking for a simple solution I can incorporate in an app.
I willing to trade off precision and handling all possible cases for simplicity.
Simplest would be to have a stored table and interpolate your current position. I don't think you'll find a simple formula, but it doesn't change quickly with position.
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I am trying to create a simple scatter plot with PlotSymbols for when I hit a point of data. I have all of that implemented, but the line and the symbols are all one color that blends in making it hard to see the data. I know I could make the symbols bigger, but I am hoping to try and avoid that.
From the few screen shots that I saw in the examples I saw the ability to do this, but only for the ellipse symbol. Is there any way to do this for other symbols as I am currently using the rectangle.
Every plot symbol has a lineStyle and a fill. You can mix and match to get whatever look you want.