Python for Data Analysis Quiz 10

What is the primary data structure in NumPy for handling multi-dimensional arrays?

• List

• Array

• Series

• DataFrame

. Which NumPy function is used to create an identity matrix?

• `numpy.identity()`

• `numpy.eye()`

• `numpy.ones()`

• `numpy.zeros()`

How do you reshape a NumPy array with 20 elements into a 4x5 matrix?

.

• . `arr.reshape((4, 5))`

• `arr.resize((4, 5))`

• `arr.rearrange((4, 5))`

• `arr.reform((4, 5))`

Which NumPy function is used to find the mean (average) of an array?

• `numpy.median()`

• . `numpy.average()`

• `numpy.mean()`

• `numpy.mode()`

To perform element-wise addition of two NumPy arrays, which operator should you use?

• `+`

• . `-`

• `*`

• `/`

In Pandas, what is the primary data structure for storing and manipulating tabular data?

• Series

• DataFrame

• Array

• List

How do you select a specific column "column_name" from a Pandas DataFrame df?

• `df.select("column_name")`

• `df.loc["column_name"]`

• `df["column_name"]`

• 'df.column_name`

What Pandas method is used to drop rows with missing values (NaN) from a DataFrame?

• `dropna()`

• `remove()`

• `clean()`

• `filterna()`

How can you merge two Pandas DataFrames by a common column, similar to a SQL JOIN operation?

• `combine()`

• `concat()`

• `merge()`

• `join()`

Which Pandas function is used to calculate the summary statistics (count, mean, min, max, etc.) of a DataFrame?

• `statistics()`

• `summary_stats()`

• `describe()`

• `summarize()`