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January 9, 2020 11:38
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Multiplier adjustment vs budget fill rate interactive graph
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| import numpy as np | |
| import matplotlib.pyplot as plt | |
| from matplotlib.widgets import Slider | |
| BUDGET_FILLING_CAP_THRESHOLD = 0.97 | |
| BUDGET_FILL_ROLLING_WINDOW = 30 | |
| def ease_in_out_sine(x): | |
| return (1 + np.sin(np.pi * x - np.pi / 2)) / 2 | |
| def ease_in_sine(x): | |
| return np.sin((x - 1) * np.pi / 2) + 1 | |
| DAYS_DEFAULT = 15 | |
| def get_multiplier_adjustment(budget_filling, days_since_last_adjustment, top=3, bottom=0.8): | |
| budget_filling = min(budget_filling, 1) | |
| if budget_filling < BUDGET_FILLING_CAP_THRESHOLD: | |
| #adjusted_top = 1 + (top - 1) * (float(days_since_last_adjustment) / BUDGET_FILL_ROLLING_WINDOW) | |
| adjusted_top = 1 + (top - 1) * ease_in_sine(float(days_since_last_adjustment) / BUDGET_FILL_ROLLING_WINDOW) | |
| factor = (1 - ease_in_out_sine(budget_filling)) * (adjusted_top - 1) + 1 | |
| else: | |
| factor = ( | |
| 1 - ease_in_out_sine(float(days_since_last_adjustment) / BUDGET_FILL_ROLLING_WINDOW) | |
| ) * (1 - bottom) + bottom | |
| return factor | |
| fig, ax = plt.subplots() | |
| plt.subplots_adjust(left=0.2, bottom=0.25) | |
| xs = [i / 100 for i in range(105)] | |
| l, = plt.plot(xs, [get_multiplier_adjustment(x, DAYS_DEFAULT) for x in xs]) | |
| plt.axis([0, 1.1, 0.6, 3.2]) | |
| axx = plt.axes([0.35, 0.1, 0.55, 0.03], facecolor='lightgoldenrodyellow') | |
| days_slider = Slider(axx, 'Days since last adjustment', 0.0, 30.0, valinit=DAYS_DEFAULT) | |
| def update(evt): | |
| days = days_slider.val | |
| l.set_ydata([get_multiplier_adjustment(x, days) for x in xs]) | |
| fig.canvas.draw_idle() | |
| days_slider.on_changed(update) | |
| ax.set_xlabel('Budget fill rate') | |
| ax.set_ylabel('Multiplier Adjustment') | |
| ax.grid() | |
| plt.show() |
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