Given a Pandas DataFrame df with columns "product", "count", and "status", which of the following statements will select the rows where the "status" column is equal to "no" and the "count" column is equal to 0?

Question

Accepted Answer

df.loc[(df['status'] == 'no') & (df['count'] == 0), ['product', 'count']]

Answer

df.iloc[df['status'] == 'no' and df['count'] = 0]

Answer

df.loc[df['status'] == 'no' and df['count'] >=0]

Answer

df.iloc[(df['status'] == ' ') & (df['count'] = 30), [0, 1]]

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Given a Pandas DataFrame df with columns "product", "count", and "status", which...

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