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November 25, 2017 07:28
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energy
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| def test_energy(countries): | |
| """ | |
| Input: a series/ the Country column in Energy | |
| utf-8 encoded i.e. when reading Energy use | |
| encoding='utf-8' | |
| """ | |
| encodedC = '11,7,7,14,7,6,8,19,9,7,5,9,7,10,7,7,10,8,7,7,6,5,7,6,7,32,22,8,6,22,17,8,12,7,10,8,8,6,14,24,4,5,5,9,42,8,7,5,12,10,13,7,4,7,6,14,37,32,7,8,8,18,7,5,11,17,7,7,8,14,16,4,7,6,13,16,5,6,7,7,5,9,6,9,7,10,4,9,8,6,13,6,5,8,7,7,5,9,4,4,7,11,6,5,7,5,6,6,10,5,8,6,10,32,6,7,7,7,5,13,9,10,10,6,8,8,4,5,16,10,10,9,6,10,8,10,10,7,10,7,7,5,5,11,13,11,9,5,7,4,24,6,4,8,5,6,16,8,4,11,6,8,11,5,11,19,7,7,18,6,12,21,11,25,32,5,21,12,7,6,10,12,9,12,8,8,15,7,12,11,5,9,18,5,8,9,6,11,20,10,8,41,11,4,5,19,7,6,12,24,6,6,7,20,14,27,13,28,7,10,7,9,8,25,5,6,8' | |
| outcome = ['Failed\n', 'Passed\n'] | |
| energy = pd.DataFrame() | |
| energy['original'] = pd.read_excel('Energy Indicators.xls', | |
| usecols=[1],encoding='utf-8', | |
| index_col=0).loc['Afghanistan':'Zimbabwe'].index.tolist() | |
| energy['tested'] = countries.str.len() | |
| energy['actual'] = encodedC.split(',') | |
| energy['actual'] = energy['actual'].astype(int) | |
| try: | |
| energy['Country'] = countries | |
| except Exception as e: | |
| print('Failed, error: ',e) | |
| res = 'Test number of records: ' | |
| res += outcome[len(countries)==len(energy)] | |
| res += 'Test the column name: ' | |
| res += outcome [countries.name == 'Country'] | |
| res += 'Equality Test: ' | |
| res += outcome[energy['tested'].equals(energy['actual'])] | |
| if not energy['tested'].equals(energy['actual']): | |
| res += '\nMismatched countries:\n' | |
| mismatch = energy.loc[energy['tested'] != (energy['actual']), [ | |
| 'original', 'Country', 'tested', 'actual']].values.tolist() | |
| res += '\n'.join('"{:}" miss-cleaned as "{:}"'.format(o, r) | |
| for o, r, s, v in mismatch) | |
| return res | |
| print(test_energy(get_energy().loc[:,'Country'])) |
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