0
0
NumPydata~5 mins

Boolean type in NumPy - Cheat Sheet & Quick Revision

Choose your learning style9 modes available
Recall & Review
beginner
What is a Boolean type in NumPy?
A Boolean type in NumPy represents values that can be either True or False. It is used to store truth values and is useful for filtering and conditional operations.
Click to reveal answer
beginner
How do you create a NumPy array of Boolean values?
You can create a Boolean NumPy array by passing a list of True and False values to np.array(), for example: np.array([True, False, True]).
Click to reveal answer
beginner
What is the data type name for Boolean arrays in NumPy?
The data type name for Boolean arrays in NumPy is 'bool' or 'bool_' which stores True or False values efficiently.
Click to reveal answer
intermediate
How can Boolean arrays be used in NumPy?
Boolean arrays can be used to filter data, perform element-wise logical operations, and control flow in data processing tasks.
Click to reveal answer
intermediate
What happens when you perform a logical operation between two Boolean NumPy arrays?
Performing logical operations like AND (&), OR (|), and NOT (~) between Boolean arrays results in a new Boolean array with element-wise operation results.
Click to reveal answer
Which NumPy data type stores Boolean values?
Abool
Bint
Cfloat
Dstr
What is the output type when you compare two NumPy arrays element-wise?
AInteger array
BString array
CFloat array
DBoolean array
Which operator is used for element-wise logical AND in NumPy Boolean arrays?
A&
B&&
Cand
D|
How do you create a Boolean array from a condition in NumPy?
AUsing np.bool_()
BUsing a comparison like arr > 5
CUsing np.array([True, False])
DUsing np.int32()
What does the ~ operator do on a Boolean NumPy array?
ALogical AND
BLogical OR
CLogical NOT (negation)
DNo operation
Explain what a Boolean type is in NumPy and how it can be used in data analysis.
Think about how True/False values help select or filter data.
You got /4 concepts.
    Describe how to create and manipulate Boolean arrays in NumPy with examples.
    Consider how conditions and logical operators work on arrays.
    You got /4 concepts.