Matplotlib imported by pyGAD #292
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enhancement
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hey @ahmedfgad this would be great for me as well, any update on this one? |
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The issue is solved and will be available in the next release! |
ahmedfgad
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Jan 7, 2025
1. The `delay_after_gen` parameter is removed from the `pygad.GA` class constructor. As a result, it is no longer an attribute of the `pygad.GA` class instances. To add a delay after each generation, apply it inside the `on_generation` callback. #283 2. In the `single_point_crossover()` method of the `pygad.utils.crossover.Crossover` class, all the random crossover points are returned before the `for` loop. This is by calling the `numpy.random.randint()` function only once before the loop to generate all the K points (where K is the offspring size). This is compared to calling the `numpy.random.randint()` function inside the `for` loop K times, once for each individual offspring. 3. Bug fix in the `examples/example_custom_operators.py` script. #285 4. While making prediction using the `pygad.torchga.predict()` function, no gradients are calculated. 5. The `gene_type` parameter of the `pygad.helper.unique.Unique.unique_int_gene_from_range()` method accepts the type of the current gene only instead of the full gene_type list. 6. Created a new method called `unique_float_gene_from_range()` inside the `pygad.helper.unique.Unique` class to find a unique floating-point number from a range. 7. Fix a bug in the `pygad.helper.unique.Unique.unique_gene_by_space()` method to return the numeric value only instead of a NumPy array. 8. Refactoring the `pygad/helper/unique.py` script to remove duplicate codes and reformatting the docstrings. 9. The plot_pareto_front_curve() method added to the pygad.visualize.plot.Plot class to visualize the Pareto front for multi-objective problems. It only supports 2 objectives. #279 10. Fix a bug converting a nested NumPy array to a nested list. #300 11. The `Matplotlib` library is only imported when a method inside the `pygad/visualize/plot.py` script is used. This is more efficient than using `import matplotlib.pyplot` at the module level as this causes it to be imported when `pygad` is imported even when it is not needed. #292 12. Fix a bug when minus sign (-) is used inside the `stop_criteria` parameter (e.g. `stop_criteria=["saturate_10", "reach_-0.5"]`). #296 13. Make sure `self.best_solutions` is a list of lists inside the `cal_pop_fitness` method. #293 14. Fix a bug where the `cal_pop_fitness()` method was using the `previous_generation_fitness` attribute to return the parents fitness. This instance attribute was not using the fitness of the latest population, instead the fitness of the population before the last one. The issue is solved by updating the `previous_generation_fitness` attribute to the latest population fitness before the GA completes. #291
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At the moment
from pygad import GAcauses matplotlib to be imported. Matplotlib is quite a heavy import that I'd rather avoid if possible when running some code in a limited environment.Would you consider a conditional import of matplotlib? As in altering pygad so it imports matplotlib at the point of plotting rather than initially. Some other packages such as pandas already use this approach (running
import pandasdoes not import matplotlib but it will be imported at the pointdf.plot()is called)I know this is the sort of thing people feel strongly about. If it's palatable I could probably have a look at raising a PR but thought it was worth asking first.
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