35 lines
1.4 KiB
Python
35 lines
1.4 KiB
Python
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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 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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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(['Preface.ipynb', 'Signals_and_Noise.ipynb','g-h_filter.ipynb', 'discrete_bayes.ipynb', 'Gaussians.ipynb', 'Kalman_Filters.ipynb', 'Multidimensional_Kalman_Filters.ipynb', 'Kalman_Filter_Math.ipynb', 'Extended_Kalman_Filters.ipynb', 'Unscented_Kalman_Filter.ipynb'])
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# merge_notebooks(['Preface.ipynb', 'Signals_and_Noise.ipynb' g-h_filter.ipynb discrete_bayes.ipynb Gaussians.ipynb Kalman_Filters.ipynb Multidimensional_Kalman_Filters.ipynb Kalman_Filter_Math.ipynb Designing_Kalman_Filters.ipynb Extended_Kalman_Filters.ipynb Unscented_Kalman_Filter.ipynb'])
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