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@DanyelMorales
Created March 27, 2024 20:21
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import numpy as np
import matplotlib.pyplot as plt
from IPython.display import display, clear_output
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
for i in range(20):
x = np.arange(0, i, 0.1);
y = np.sin(x)
ax.set_xlim(0, i)
ax.cla()
ax.plot(x, y)
display(fig)
clear_output(wait = True)
plt.pause(0.5)
@DanyelMorales
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This will create an animation-like graph to visualize changes overtime

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