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Selecting missing puppies 1 # Select the dogs where Age is greater than 2 2 greater_than_2 = mpr [mpr. Age > 2] 3 print(greater_than_2) Let's return to our DataFrame of missing puppies, which is loaded as mpr. Let's select a few different rows to learn more about the other missing dogs. 5 # Select the dogs whose Status is equal to Still Missing 6 still_missing = mpr[mpr. Status == 'Still Missing'] 7 print (still_missing) Instructions 100 XP • Select the dogs where Age is greater than 2. 9 # Select all dogs whose Dog Breed is not equal to Poodle 10 not-poodle = mpr [mpr.Dog Breed != 'Poodle'] 11 print(not_poodle) • Select the dogs whose Status is equal to Still Missing. • Select all dogs whose Dog Breed is not equal to Poodle. Run Code Submit Answer * Take Hint (-30 XP) IPython Shell Slides Incorrect Submission Did you correctly define the variable not_poodle ? Expected something different. # Select all dogs whose Dog Breed is not equal to Poodle not_poodle = mpr[mpr.Dog Breed != 'Poodle'] print(not_poodle) File "", line 10 not_poodle = mpr [mpr.Dog Breed != 'Poodle'] Did you find this feedback helpful? ✓ Yes x No SyntaxError: invalid syntax

Sagot :

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.

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