[Python] Code Example 2 - CSV to DataFrame




[Source Code]

# Import pandas as pd
import pandas as pd

# Fix import by including index_col
cars = pd.read_csv('cars.csv', index_col = 0)

# Print out cars
print(cars)


[Output]==========================================
     cars_per_cap        country  drives_right
US            809  United States          True
AUS           731      Australia         False
JAP           588          Japan         False
IN             18          India         False
RU            200         Russia          True
MOR            70        Morocco          True
EG             45          Egypt          True

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[Python] Code Example 1 - Dictionary

[Source Code] import pandas as pd # Build cars DataFrame names = ['United States', 'Australia', 'Japan', 'India', 'Russia', 'Morocco', 'Egypt'] dr =  [True, False, False, False, True, True, True] cpc = [809, 731, 588, 18, 200, 70, 45] dict = { 'country':names, 'drives_right':dr, 'cars_per_cap':cpc } cars = pd.DataFrame(dict) print(cars) # Definition of row_labels row_labels = ['US', 'AUS', 'JAP', 'IN', 'RU', 'MOR', 'EG'] # Specify row labels of cars cars = pd.DataFrame(dict, row_labels) # Print cars again print(cars) [Output]==========================================        cars_per_cap        country  drives_right     0           809  United States          True     1           731      Australia         False     2          ...
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