What are some effective visualization tools in NumPy?
NumPy itself doesn't have built-in visualization tools, but it works well with libraries like Matplotlib and Seaborn for plotting.
Can you show me an example of how to use Matplotlib with NumPy?
Sure! Here's a simple example:
import numpy as np
import matplotlib.pyplot as plt
x = np.linspace(0, 10, 100)
y = np.sin(x)
plt.plot(x, y)
plt.title('Sine Wave')
plt.xlabel('X-axis')
plt.ylabel('Y-axis')
plt.show()
What about Seaborn? How does it integrate with NumPy?
Seaborn is built on top of Matplotlib and works seamlessly with NumPy arrays. You can use NumPy to prepare your data and then visualize it with Seaborn's high-level interface.
Are there any other libraries I should consider for data visualization?
Yes, you might also want to explore Plotly for interactive plots, or Bokeh for web-based visualizations. They both integrate well with NumPy.
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