Answer:
# the dog dataframe has been loaded as mpr
# select the dogs where Age is greater than 2
greater_than_2 = mpr [mpr. age > 2]
print(greater_than_2)
# select the dogs whose status is equal to 'still missing'
still_missing = mpr[mpr. status == 'Still Missing']
print(still_missing)
# select all dogs whose dog breed is not equal to Poodle
not_poodle = mpr [mpr.breed != 'Poodle']
print(not_poodle)
Explanation:
The pandas dataframe is a tabular data structure that holds data in rows and columns like a spreadsheet. It is used for statistical data analysis and visualization.
The three program statements above use python conditional statements and operators to retrieve rows matching a given value or condition.
It’s a piece of hardware (you can touch it) that changes something on the screen. Examples are a keyboard putting letters on the screen or a mouse moving the cursor
<span>Crawler-based search engines are what most of us are familiar with - mainly because that's what Google and Bing are. These companies develop their own software that enables them to build and maintain searchable databases of web pages (the engine), and to organise those pages into the most valuable and pertinent way to the user.</span>
The user's browser renders the html code as a visual web page
