fd4b2211a7
The function takes the wheel and gps variance in as parameters so I can easily vary the values and display them to the reader.
62 lines
2.2 KiB
Python
62 lines
2.2 KiB
Python
from __future__ import print_function
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import io
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from IPython.nbformat import current
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import sys
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def remove_formatting(nb):
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w = nb['worksheets']
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node = w[0]
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c = node['cells']
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for i in range (len(c)):
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if 'input' in c[i].keys():
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if c[i]['input'][0:16] == '#format the book':
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del c[i]
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return
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def remove_links(nb):
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w = nb['worksheets']
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node = w[0]
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c = node['cells']
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for i in range (len(c)):
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if 'source' in c[i].keys():
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if c[i]['source'][0:19] == '[Table of Contents]':
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del c[i]
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return
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def merge_notebooks(filenames):
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merged = None
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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 = current.read(f, u'json')
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remove_formatting(nb)
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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.worksheets[0].cells.extend(nb.worksheets[0].cells)
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merged.metadata.name += "_merged"
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print(current.writes(merged, u'json'))
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if __name__ == '__main__':
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#merge_notebooks(sys.argv[1:])
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merge_notebooks(
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['Preface.ipynb',
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'01_gh_filter/g-h_filter.ipynb',
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'02_Discrete_Bayes/discrete_bayes.ipynb',
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'03_Least_Squares/Least_Squares_Filters.ipynb',
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'04_Gaussians/Gaussians.ipynb',
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'05_Kalman_Filters/Kalman_Filters.ipynb',
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'06_Multivariate_Kalman_filter/Multivariate_Kalman_Filters.ipynb',
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'07_Kalman_Filter_Math/Kalman_Filter_Math.ipynb',
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'08_Designing_Kalman_Filters/Designing_Kalman_Filters.ipynb',
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'09_Extended_Kalman_Filters/Extended_Kalman_Filters.ipynb',
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'10_Unscented_Kalman_Filters/Unscented_Kalman_Filter.ipynb',
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'11_Designing_Nonlinear_Kalman_Filters/Designing_Nonlinear_Kalman_Filters.ipynb',
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'Appendix_A_Installation/Appendix_Installation.ipynb',
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'Appendix_B_Symbols_and_Notations/Appendix_Symbols_and_Notations.ipynb'])
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# merge_notebooks(['Preface.ipynb', g-h_filter.ipynb discrete_bayes.ipynb Gaussians.ipynb Kalman_Filters.ipynb Multivariate_Kalman_Filters.ipynb Kalman_Filter_Math.ipynb Designing_Kalman_Filters.ipynb Extended_Kalman_Filters.ipynb Unscented_Kalman_Filter.ipynb'])
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