Imagine a scenario where you are studying the effect of different catalysts on the rate of a chemical reaction. Using ipywidgets, you could create a
slider to adjust the temperature, a
dropdown menu to select the catalyst, and a
graph to display the reaction rate. This setup allows you to quickly see how changes in temperature and catalyst type affect the rate of reaction. Here's a simple code snippet demonstrating this:
from ipywidgets import interact
import matplotlib.pyplot as plt
import numpy as np
def reaction_rate(temp, catalyst):
# Dummy function to simulate reaction rate calculation
rate = np.exp(-1000 / temp) * (1 if catalyst == 'Catalyst A' else 0.8)
return rate
def plot_reaction_rate(temp, catalyst):
rate = reaction_rate(temp, catalyst)
plt.plot(temp, rate, 'o')
plt.xlabel('Temperature (K)')
plt.ylabel('Reaction Rate')
plt.title(f'Reaction Rate with {catalyst}')
plt.show()
interact(plot_reaction_rate, temp=(300, 1000), catalyst=['Catalyst A', 'Catalyst B'])
