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- borehole top bottom lithology
- 0 AP-2 94.6 95.1 dolomite
- 1 AP-2 95.1 96.7 limestone
- 2 AP-2 96.7 97.0 dolomite
- 3 AP-2 97.0 97.5 limestone
- 4 AP-2 97.5 97.8 limestone
- 5 AP-3 87.4 87.7 limestone
- 6 AP-3 87.7 88.1 limestone
- 7 AP-3 88.1 88.5 dolomite
- 8 AP-3 88.5 89.1 limestone
- borehole Top Lith
- 0 AP-2 94.6 dolomite
- 1 AP-2 94.7 dolomite
- 2 AP-2 94.8 dolomite
- 3 AP-2 94.9 dolomite
- 4 AP-2 95.0 dolomite
- 5 AP-2 95.1 limestone
- 6 AP-2 95.2 limestone
- 7 AP-2 95.3 limestone
- 8 AP-2 95.4 limestone
- 9 AP-2 95.5 limestone
- 10 AP-2 95.6 limestone
- 11 AP-2 95.7 limestone
- 12 AP-2 95.8 limestone
- 13 AP-2 95.9 limestone
- 14 AP-2 96.0 limestone
- 15 AP-2 96.1 limestone
- 16 AP-2 96.2 limestone
- 17 AP-2 96.3 limestone
- 18 AP-2 96.4 limestone
- 19 AP-2 96.5 limestone
- 20 AP-2 96.6 limestone
- 21 AP-2 96.7 limestone
- import pandas as pd
- import numpy as np
- liths = {'borehole': {0: 'AP-2',
- 1: 'AP-2',
- 2: 'AP-2',
- 3: 'AP-2',
- 4: 'AP-2',
- 5: 'AP-3',
- 6: 'AP-3',
- 7: 'AP-3',
- 8: 'AP-3'},
- 'bottom': {0: 95.099999999999994,
- 1: 96.700000000000003,
- 2: 97.0,
- 3: 97.5,
- 4: 97.799999999999997,
- 5: 87.700000000000003,
- 6: 88.099999999999994,
- 7: 88.5,
- 8: 89.099999999999994},
- 'lithology': {0: 'dolomite',
- 1: 'limestone',
- 2: 'dolomite',
- 3: 'limestone',
- 4: 'limestone',
- 5: 'limestone',
- 6: 'limestone',
- 7: 'dolomite',
- 8: 'limestone'},
- 'top': {0: 94.599999999999994,
- 1: 95.099999999999994,
- 2: 96.700000000000003,
- 3: 97.0,
- 4: 97.5,
- 5: 87.400000000000006,
- 6: 87.700000000000003,
- 7: 88.099999999999994,
- 8: 88.5}}
- filled = []
- increment = 0.1
- for row in liths.itertuples():
- start = row.top
- end = row.bottom
- for i in np.arange(start, end, increment):
- filled.append([row.borehole, i, row.lithology])
- filled = pd.DataFrame(filled, columns=['borehole', 'Top', 'Lith']); filled
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