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 took away jobs and made day to day tasks easier
B. Border. It borders the outer page.
Files and email messages sent over the internet are broken down into smaller pieces called packets