table_test.py 文件源码

 复制代码def test_nan(self):
        output = convert(
            'table',
            {
                'format': 'csv',
                'url': 'file://' + os.path.join('data', 'RadiomicsData.csv')
            },
            {'format': 'rows.json'}
        )
        data = json.loads(output['data'])
        self.assertEqual(len(data['fields']), 454)
        self.assertEqual(data['fields'][:3], [
            'GLCM_autocorr', 'GLCM_clusProm', 'GLCM_clusShade'
        ])
        self.assertEqual(len(data['rows']), 99)
        for row in data['rows']:
            for field in row:
                if isinstance(row[field], float):
                    self.assertFalse(math.isnan(row[field]))
                    self.assertFalse(math.isinf(row[field]))