There is a Pandas dataframe: spi_rank country spi_score basic_human_needs foundations_of_wellbeing opportunity basic_nutri_med_care water_sanitation shelter personal_safety access_to_knowledge access_to_communications health_wellness environmental_quality personal_rights personal_freedom inclusiveness access_to_advanced_education 61 62.0 Russia 73.45 83.0 79.4 57.94 95.49 97.04 88.56 50.92 94.34 77.42 64.7 81.16 51.79 70.26 30.31 79.4 Write a function that converts dataframe columns to rows

def columns_to_rows(dataframe):
	new_dataframe = pd.DataFrame(dataframe.loc[0]).T
	return new_dataframe

Python

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