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Annotated data tables
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| table { | |
| table-layout: fixed; | |
| border-collapse: collapse; | |
| border: 3px solid black; | |
| } | |
| th, td { | |
| padding: 5px; | |
| border: 1px solid black; | |
| } | |
| td.bad { | |
| color: red; | |
| } | |
| td.align-right { | |
| text-align: right; | |
| } |
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| #!/usr/bin/env python3 | |
| from astropy.table import Table | |
| import jinja2 | |
| import string | |
| import numpy as np | |
| data = Table() | |
| n = 10 | |
| data['name'] = list(string.ascii_uppercase[:n]) | |
| data['val1'] = np.random.uniform(0, 100, n) | |
| data['val2'] = np.random.uniform(0, 100, n) | |
| data['val1'].format = '.2f' | |
| data['val2'].format = '.3f' | |
| status = Table() | |
| status['name'] = [len(x) > 5 for x in data['name']] | |
| status['val1'] = data['val1'] > 50 | |
| status['val2'] = data['val2'] > 20 | |
| fmt = Table() | |
| td_class = Table() | |
| for name in data.colnames: | |
| td_classes_list = [] | |
| for ii in range(len(data)): | |
| td_classes = [] | |
| if status[name][ii]: | |
| td_classes.append('bad') | |
| if data[name].dtype.kind in ('i', 'f'): | |
| td_classes.append('align-right') | |
| td_classes_list.append(td_classes) | |
| print(td_classes_list) | |
| td_class[name] = [' '.join(x) for x in td_classes_list] | |
| fmt[name] = data[name].pformat(show_name=False) | |
| with open('template.html') as f: | |
| template = jinja2.Template(f.read()) | |
| with open('index.html', 'w') as f: | |
| f.write(template.render(data=fmt, td_class=td_class)) |
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| <html> | |
| <head> | |
| <link rel="stylesheet" type="text/css" href="mystyle.css"> | |
| </head> | |
| <body> | |
| <table> | |
| <tr> | |
| {% for name in data.colnames -%} | |
| <th>{{name}}</th> | |
| {% endfor -%} | |
| </tr> | |
| {% for ii in range(data|length) -%} | |
| <tr> | |
| {% for name in data.colnames -%} | |
| <td{% if td_class[name][ii] %} class="{{td_class[name][ii]}}"{% endif %}>{{ data[name][ii] }}</td> | |
| {% endfor -%} | |
| </tr> | |
| {% endfor -%} | |
| </table> | |
| </body> | |
| </html> |
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