Python Challenge 1

PYTHON Challenge

START

GOODLUCK!

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What is the datatype of the variable in the following line? X= 12.48

Float

Integer

String

Boolean

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How is a Dictionary indicated in Python?

curly braces { }

square brackets [ ]

parentheses ( )

curly braces with { : }

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What is the output of the following code?

dict = {"name": "John Doe", "age": 30, "country": "USA"}

print(dict["name"])

30

"name": "John Doe"

None of the above

John Doe

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What is the difference between '==' and '=' in Python?

'==' for value equality, '=' for strings & integers

They are the same

'==' for value equality, '=' for assigning variable

'==' for strings & integers'=' for value equality

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How can you sort a DataFrame by values in a specific column in ascending order?

df.sort_values(['column_n\ ame'], ascending=True)

df.sort_values(column='colum\n_name', ascending=False)

df.sort_by(column='column_n\ame', ascending=False)

df.sort(column='column_nam\e', ascending=True)

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How can you drop rows with missing values in a pandas DataFrame?

df.fillna()

df.dropna()

df.dropnul()

df.remove_na()

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How can you add a new column 'B' to an existing pandas DataFrame 'df' with default values of 0?

df['B'] = 0

df.insert('B', 0)

df.add_column('B', 0)

df.create_column('B', 0)

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Which of the following is a valid method to perform an inner join between two pandas DataFrames?

df1.merge('df2', how='inner')

df1.concat([df1],[df2], 'inner')

pd.merge(df1,df2,\how='inner')

df1.join('df2', how='inner')

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How do you access a value in a DataFrame by its column and index?

df[index_value]['column_name']

df["index_value"]["column_name"]

None of the above

df.index_value.column_name

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How do you rename a column in a DataFrame in Pandas assuming inplace is True?

df.rename({'old':'new'}, axis=1)

df.rename(['old','new'], axis=1)

10

df.rename({'old','new'}, axis=1)

df.rename(columns=('old','new'))

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WELL DONE!

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YOU WIN!

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