c268a09f5f
The changes in the univariate chapter, where I derived the eqn for K continue to ripple through the chapters.
54 lines
1.8 KiB
Python
54 lines
1.8 KiB
Python
from __future__ import print_function
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import io
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import nbformat
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import sys
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from formatting import *
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def merge_notebooks(outfile, filenames):
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merged = None
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added_appendix = False
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for fname in filenames:
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with io.open(fname, 'r', encoding='utf-8') as f:
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nb = nbformat.read(f, nbformat.NO_CONVERT)
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remove_formatting(nb)
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if not added_appendix and fname[0:8] == 'Appendix':
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remove_links_add_appendix(nb)
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added_appendix = True
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else:
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remove_links(nb)
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if merged is None:
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merged = nb
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else:
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merged.cells.extend(nb.cells)
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#merged.metadata.name += "_merged"
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outfile.write(nbformat.writes(merged, nbformat.NO_CONVERT))
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if __name__ == '__main__':
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f = open('book.ipynb', 'w', encoding='utf-8')
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'''merge_notebooks(f,
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['../02-Discrete-Bayes.ipynb'])'''
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merge_notebooks(f,
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['../00-Preface.ipynb',
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'../01-g-h-filter.ipynb',
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'../02-Discrete-Bayes.ipynb',
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'../03-Gaussians.ipynb',
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'../04-One-Dimensional-Kalman-Filters.ipynb',
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'../05-Multivariate-Gaussians.ipynb',
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'../06-Multivariate-Kalman-Filters.ipynb',
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'../07-Kalman-Filter-Math.ipynb',
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'../08-Designing-Kalman-Filters.ipynb',
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'../09-Nonlinear-Filtering.ipynb',
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'../10-Unscented-Kalman-Filter.ipynb',
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'../11-Extended-Kalman-Filters.ipynb',
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'../12-Particle-Filters.ipynb',
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'../13-Smoothing.ipynb',
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'../14-Adaptive-Filtering.ipynb',
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'../Appendix-A-Installation.ipynb',
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'../Appendix-B-Symbols-and-Notations.ipynb',
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'../Appendix-D-HInfinity-Filters.ipynb',
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'../Appendix-E-Ensemble-Kalman-Filters.ipynb'])
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