...
The result will be like below
| Result |
|---|
{'Seoul', 'Incheon'} {'Seoul', 'Incheon'} |
Find different elements from two arrays based on "symmetric_difference" method
...
The result will be like below
| Result |
|---|
{'Jake', 'Eric', 'Jill'} {'Eric', 'Jake', 'Jill'} |
Find different elements from two arrays based on "difference" method
...
The result will be like below
| Result |
|---|
{'Jake', 'Eric'} {'Jill'} |
Find different elements from two arrays based on "union" method
...
The result will be like below
| Result |
|---|
{'John', 'Eric', 'Jake', 'Jill'} |
Print out a set containing all the participants from event A which did not attend event B
| Code Block |
|---|
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 |
|---|
# 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
...