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# Import cars data import pandas as pd cars = pd.read_csv('cars.csv', index_col = 0) # Print out observation for Japan print(cars.iloc[2]) # Print out observations for Australia and Egypt print(cars.loc[['AUS', 'EG']]) |
Sort a Pandas DataFrame in an ascending order
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df.sort_values(by=['Brand'], inplace=True) |
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# sort - ascending order from pandas import DataFrame Cars = {'Brand': ['Honda Civic','Toyota Corolla','Ford Focus','Audi A4'], 'Price': [22000,25000,27000,35000], 'Year': [2015,2013,2018,2018] } df = DataFrame(Cars, columns= ['Brand', 'Price','Year']) # sort Brand - ascending order df.sort_values(by=['Brand'], inplace=True) print (df) |
Sort a Pandas DataFrame in a descending order
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df.sort_values(by=['Brand'], inplace=True, ascending=False) |
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# sort - descending order from pandas import DataFrame Cars = {'Brand': ['Honda Civic','Toyota Corolla','Ford Focus','Audi A4'], 'Price': [22000,25000,27000,35000], 'Year': [2015,2013,2018,2018] } df = DataFrame(Cars, columns= ['Brand', 'Price','Year']) # sort Brand - descending order df.sort_values(by=['Brand'], inplace=True, ascending=False) print (df) |
Sort a Pandas DataFrame by multiple columns
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df.sort_values(by=['First Column','Second Column',...], inplace=True) |
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