csv-to-dataframe-(1).py

'''
CSV to DataFrame (1)
100xp
Putting data in a dictionary and then building a DataFrame works, but it's not very efficient.
What if you're dealing with millions of observations? In those cases, the data is typically available as files with a regular structure. One of those file types is the CSV file, which is short for "comma-separated values".

To import CSV data into Python as a Pandas DataFrame you can use read_csv().

Let's explore this function with the same cars data from the previous exercises.
This time, however, the data is available in a CSV file, named cars.csv. It is available
in your current working directory, so the path to the file is simply 'cars.csv'.

Instructions
-To import CSV files you still need the pandas package: import it as pd.
-Use pd.read_csv() to import cars.csv data as a DataFrame. Store this dataframe as cars.
-Print out cars. Does everything look OK?
'''
# Import pandas as pd
import pandas as pd

# Import the cars.csv data: cars
cars = pd.read_csv('cars.csv')

# Print out cars
print(cars)