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gidden/ex.csv

Created June 2, 2017 13:12
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read from db
Raw
ex.csv
REGION MODEL SCENARIO WHAT TSYEAR TSVALUE
AFR History CEDS CEDS+|9+ Sectors|Emissions|BC|Agricultural Waste Burning|Harmonized 1990 0.060111363426
AFR History CEDS CEDS+|9+ Sectors|Emissions|BC|Agricultural Waste Burning|Harmonized 1990 0.060111363426
AFR History CEDS CEDS+|9+ Sectors|Emissions|BC|Agricultural Waste Burning|Harmonized 1991 0.066719862828
AFR History CEDS CEDS+|9+ Sectors|Emissions|BC|Agricultural Waste Burning|Harmonized 1991 0.066719862828
AFR History CEDS CEDS+|9+ Sectors|Emissions|BC|Agricultural Waste Burning|Harmonized 1992 0.06319255648
AFR History CEDS CEDS+|9+ Sectors|Emissions|BC|Agricultural Waste Burning|Harmonized 1992 0.06319255648
AFR History CEDS CEDS+|9+ Sectors|Emissions|BC|Agricultural Waste Burning|Harmonized 1993 0.064592366254
AFR History CEDS CEDS+|9+ Sectors|Emissions|BC|Agricultural Waste Burning|Harmonized 1993 0.064592366254
AFR History CEDS CEDS+|9+ Sectors|Emissions|BC|Agricultural Waste Burning|Harmonized 1994 0.063353347406
Raw
read.py
import pandas as pd
df = pd.read_csv('ex.csv')
print(df)
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