Displaying Toyota Car Details
After locating the Toyota car details within the Pandas DataFrame, you can display the information in various ways to suit your needs.
Displaying the Entire DataFrame
To display the entire DataFrame containing the Toyota car details, you can simply print the DataFrame:
## Assuming 'toyota_cars' is the DataFrame containing Toyota car details
print(toyota_cars)
This will output the entire DataFrame, showing all the columns and rows for the Toyota cars.
Selecting Specific Columns
If you only want to display certain columns from the Toyota car details, you can use the column selection feature of Pandas:
## Assuming 'toyota_cars' is the DataFrame containing Toyota car details
print(toyota_cars[['Model', 'Year', 'Price']])
This will output a new DataFrame containing only the "Model", "Year", and "Price" columns for the Toyota cars.
Sorting the Data
You can also sort the Toyota car details based on one or more columns. For example, to sort the data by the "Price" column in ascending order:
## Assuming 'toyota_cars' is the DataFrame containing Toyota car details
sorted_toyota_cars = toyota_cars.sort_values(by='Price')
print(sorted_toyota_cars)
This will create a new DataFrame sorted_toyota_cars
that contains the Toyota car details sorted by the "Price" column in ascending order.
Displaying Summary Statistics
To get a quick overview of the Toyota car details, you can display summary statistics such as the mean, median, or standard deviation of the numerical columns:
## Assuming 'toyota_cars' is the DataFrame containing Toyota car details
print(toyota_cars.describe())
This will output a summary table with statistics like the count, mean, standard deviation, minimum, and maximum values for the numerical columns in the Toyota car details.
By using these techniques, you can effectively display and present the Toyota car details from the Pandas DataFrame in a clear and organized manner, making it easier for the reader to understand and analyze the information.