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Python Data Analysis and Visualization

Solution Review: Reading Auto MPG Dataset

Understand how to read a dataset in Python using pandas. This lesson guides you through importing the Auto MPG dataset, specifying column names, and correctly parsing whitespace-delimited data. You'll learn to extract the data frame's shape, an essential first step in data analysis and visualization.

We'll cover the following...

Reading the Dataset

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Python 3.5
import pandas as pd # calling pandas module
def read_csv():
    # Define the column names as a list
    names = ["mpg", "cylinders", "displacement", "horsepower", "weight", "acceleration", "model_year", "origin", "car_name"]
    # Read in the CSV file from the webpage using the defined column names
    df = pd.read_csv("auto-mpg.data", header=None, names=names, delim_whitespace=True)
    return df.shape
# Calling the function and printing the result
print(read_csv())

According to the problem statement, we need to get the shape ...