Electron microscopy
 
PythonML
Jupyter Notebooks
- Python Automation and Machine Learning for ICs -
- An Online Book: Python Automation and Machine Learning for ICs by Yougui Liao -
Python Automation and Machine Learning for ICs                                                           http://www.globalsino.com/ICs/        


Chapter/Index: Introduction | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | Appendix

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The code "%matplotlib inline" is a magic command for Jupyter notebooks. It's used to configure the environment to display Matplotlib plots directly within the notebook, instead of opening them in a separate window. When you run this command, any plots you create using Matplotlib will appear as inline images in the notebook cells, which is particularly useful for data analysis and visualization in an interactive setting.

# This line ensures that plots are displayed inline in the Jupyter Notebook
%matplotlib inline

import matplotlib.pyplot as plt
import numpy as np

# Generate some data
x = np.linspace(0, 10, 100)
y = np.sin(x)

# Create a plot
plt.plot(x, y)
plt.show()

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