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Programing with Python / Programmation avec Python (202400-META-IDSI1121-BBA1)

Programing with Python / Programmation avec Python (202400-META-IDSI1121-BBA1)

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What’s the output of the following Python program?

l1 = np.array([10, 20, 30, 40, 50])

print(np.logical_and(l1>20, l1<40))

[False, False, False, False, False]

[True, True, True, True, True]

[False, False, True, False, False]

An error is raised

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What’s the output of the following Python program?

l1 = [10, 20, 30, 40, 50]

l2 = [20, 30, 50, 40, 70]

np.array(l1) < np.array(l2)

An error is raised

[True, True, True, False, True]

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I have a pandas dataframe named 'brics' with columns names given by 'country', 'capital', 'area' and 'population' and indices given by 'FR', 'IT' and 'UK'. I want to construct a pandas dataframe with the only two columns 'country' and 'capital' and only for the indices 'FR' and 'IT'. Which command should I use?

brics.loc[['FR', 'IT'], ['country', 'capital']]

brics.iloc[['FR', 'IT'], ['country', 'capital']]

brics[('FR', 'IT'), ('country':'capital')]

brics[['FR', 'IT'], ['country':'capital']]

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I have a pandas dataframe named 'brics' with columns names given by 'country', 'capital', 'area' and 'population'. I want to construct a pandas dataframe with the only two columns 'country' and 'capital'. Which command should I use?

brics['country':'capital']

brics[['country', 'capital']]

brics['country', 'capital']

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What’s the output of the following Python program?

capitals = {'Spain': 'Madrid', 'France': 'Paris'}

capitals['Spain']

'Spain': 'Madrid'

('Spain', 'Madrid')

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I have a dataset in the form of a csv file. Which package should we use to work with these data in python?

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I want to store the population's size of 10 countries. Which data container should I use?

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What are the keys of the following dictionary?

capitals = {'Spain': 'Madrid', 'France': 'Paris'}

('Spain', 'Madrid') and ('France', 'Paris')

'Spain' and 'France'

'Madrid' and 'Paris'

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I have a dataset in the form of a csv file 'data.csv'. I want to construct a pandas dataframe out of it. However, I want pandas to use the first column of my csv file to be the index of the dataframe. Which command should I use?

pd.read_csv('data.csv', index_col = 1)

pd.read_csv('data.csv', index = 1)

pd.read_csv('data.csv', index = 0)

pd.read_csv('data.csv', index_col = 0)

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I have a dataset in the form of a csv file 'data.csv'. Which command can I use to import my data into my python environement?

pd.import_csv('data.csv')

pd.read_csv('data.csv')

csv.open('data.csv')

csv.read('data.csv')

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