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The result will be like below
Result |
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{'Seoul', 'Incheon'} {'Seoul', 'Incheon'} |
Find different elements from two arrays based on "symmetric_difference" method
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The result will be like below
Result |
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{'Jake', 'Eric', 'Jill'} {'Eric', 'Jake', 'Jill'} |
Find different elements from two arrays based on "difference" method
...
The result will be like below
Result |
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{'Jake', 'Eric'} {'Jill'} |
Find different elements from two arrays based on "union" method
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The result will be like below
Result |
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{'John', 'Eric', 'Jake', 'Jill'} |
Print out a set containing all the participants from event A which did not attend event B
Code Block |
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a = ["Jake", "John", "Eric"] b = ["John", "Jill"] print(set(a).difference(set(b))) |
Pandas DataFrame / CSV / Join / Merge
Create a Pandas DataFrame based on array
...
Code Block |
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# Import cars data import pandas as pd cars = pd.read_csv('cars.csv', index_col = 0) # Print out first 4 observations print(cars[0:4]) # Print out fifth, sixth, and seventh observation print(cars[4:6]) |
Data access by loc and iloc in Pandas DaraFrame - Select colums by index or name
loc is label-based, and iloc is integer index based
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