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I face the following problem with GEKKO: some parameters (.Param) are changing (others not) when solving a model and I cannot determine why.

Background: I am currently trying to translate code from EViews (see gennaro.zezza.it) to python. I use GEKKO to simulate a system consisting out of 11 equations (for now). I do want to use parameters (instead of constants which seem to work perfectly fine) as I need to ('exogenously') change their value over time (and thus need an array).

Example: In the following example, an 'economic system' reacts to new government expenditures. Here, I particularly face problems with "m.alpha1" and "m.alpha2" - if they are introduced as ".Param" their value will change to 1.0 (instead of 0.6 and 0.4) when solving the model. How can I stop GEKKO from doing this? (Again, I want to be able to change, e.g., alpha1 to 0.7 after time x. E.g., lower and upper bounds won't help here.)

Thanks for your help!!

Code:

Matplotlib madness...

I have been asked to plot some histograms and KDEs using seaborn. We just want to focus on a range of the X axis, so I use ax.set_xlim(20_000, 42_460). In some cases most of the data is before 20.000 so the plot looks like this:

The full plot looks like this:

There is data, but since most of it is on the range (0,20.000) matplotlib adjusts the Y limit to it and in the range (20.000, 42.460) the data cannot be appreciated.

I would like to know a way to automatically adjust the Y limit so the data in the range (20.000, 42.460) is visible. I have been asked to not to plot just the range (20.000, 42.460), I have to plot the range (0, 42.460) and then zoom in the range (20.000, 42.460).

I have found Axes.relim() that can take an argument visible_only=True but it does not seem to work as I expected.

Other option could be to use a different library to calculate the histogram data, calculate then the Y limit and set it with ax.set_ylim(0, range_max) but we are also plotting a seaborn KDE that has the same problem and that could be more complicated. Here it is an immage of a good plot:

EDIT:

To reproduce the plot use this data and this code:

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RuntimeError: sequence argument must have length equal to input rank

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All I managed so far was to merely move it from the right to the left (see below), but not re-orientate it towards the scatter plot. How can I achieve that?

Here is my code:

I am very new to Python. I am trying to run this script:

https://scikit-image.org/docs/0.12.x/auto_examples/segmentation/plot_local_otsu.html

But, I'm getting this error:

Seaborn distplot is now deprecated and will be removed in a future version. It is suggested to use histplot (or displot as a figure-level plot) as an alternative. But the presets differ between distplot and histplot: