Pandas Quiz — Quiz | BeeProton AI

Question 1 of 10

Which method shows the first 5 rows?

adf.first()bdf.top()cdf.show()ddf.head()

Question 2 of 10

Select rows by label with…

alocbiloccatdix

Question 3 of 10

How do you count missing values per column?

adf.count_na()bdf.missing()cdf.isna().sum()ddf.null()

Question 4 of 10

Which merges two DataFrames on a key?

adf.join_on()bdf.merge()cpd.concat()ddf.combine()

Question 5 of 10

What does `df.groupby('city')['sales'].sum()` return?

aA Series indexed by citybA DataFramecA listdA dict

Question 6 of 10

Which attribute gives the number of rows and columns as a tuple?

adf.sizebdf.shapecdf.lengthddf.count()

Question 7 of 10

What does `top` contain?

top = df.sort_values('sales', ascending=False).head(3)

aThe 3 rows with the smallest salesbThe first 3 rows of the original ordercThe 3 rows with the largest salesdA Series of 3 sales values

Question 8 of 10

By default, which columns does `df.describe()` summarise?

aEvery columnbOnly object columnscOnly the indexdOnly the numeric columns

Question 9 of 10

What is printed?

a = pd.Series([1, 2], index=['x', 'y'])
b = pd.Series([10, 20], index=['y', 'z'])
print((a + b).tolist())

a[nan, 12.0, nan]b[11, 22]c[1, 12, 20]dA ValueError about mismatched lengths

Question 10 of 10

After `pd.concat([df1, df2])`, `df.loc[0]` returns two rows. Why?

aconcat always duplicates the first rowbBoth frames kept their original index labels; pass ignore_index=True to renumberc`loc` always returns a DataFramedThe two frames have different columns