Multiplier adjustment vs budget fill rate interactive graph

plot_inter.py

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()