To plot the profit of the app as a function of the task completion rate, we can use the given formula:

Profit = (Task Completion Rate * S - Average Cost) * e^Task Completion Rate

Where:

  • Task Completion Rate (x) ranges from 0 to 1
  • S = 300
  • Average Cost = 150.0314697
  • e is the natural number (approximately 2.71828)

Let's plot the graph using these values:

import numpy as np import matplotlib.pyplot as plt

x = np.linspace(0, 1, 100) # Task Completion Rate ranging from 0 to 1 S = 300 average_cost = 150.0314697 e = np.exp(1) # Euler's number

profit = (x * S - average_cost) * np.power(e, x)

plt.plot(x, profit) plt.xlabel('Task Completion Rate') plt.ylabel('Profit') plt.title('Profit vs Task Completion Rate') plt.grid(True) plt.show()

The above code will generate a graph showing the relationship between the task completion rate and the profit of the app. The x-axis represents the task completion rate, and the y-axis represents the profit.

设app盈利=任务完成率乘以S-平均花费e^任务完成率其中任务完成率为自变量xx取值为0到1S=300e为自然数平均花费为1500314697做出app盈利关于任务完成率的图全英文

原文地址: https://www.cveoy.top/t/topic/iyTc 著作权归作者所有。请勿转载和采集!

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