In Matplotlib, the ____ method is used to set the labels of the x-axis.
- set_x_axis
- set_x_label
- set_xlabel
- x_labels
In Matplotlib, you use the set_xlabel method to set the label for the x-axis. This method allows you to specify the label that appears below the x-axis in your plot.
In NumPy, the ____ function is used to calculate the element-wise maximum of two arrays.
- max
- maximize
- maximum
- min
In NumPy, the maximum function is used to calculate the element-wise maximum of two arrays. It returns a new array containing the element-wise maximum values from the input arrays.
In NumPy, the ____ function is used to compute the inverse of a matrix.
- np.inverse()
- np.invert()
- np.linalg.inv()
- np.transpose()
In NumPy, the np.linalg.inv() function is used to compute the inverse of a matrix. This function is essential for various linear algebra operations in NumPy, such as solving linear equations.
In object-oriented programming in Python, ____ refers to the class that a class inherits from.
- base class
- parent class
- subclass
- superclass
In Python, the term "base class" refers to the class that a class inherits from. It's also commonly called a "parent class" or "superclass."
In object-oriented programming, ____ refers to the bundling of data and methods that operate on that data into a single unit.
- Abstraction
- Encapsulation
- Inheritance
- Polymorphism
In object-oriented programming, encapsulation refers to the concept of bundling data (attributes) and methods (functions) that operate on that data into a single unit, known as a class. This helps in data hiding and controlling access to an object's internals.
In Pandas, ____ is used to concatenate two or more DataFrames along a particular axis.
- combine
- concat
- join
- merge
In Pandas, the concat function is used to concatenate (combine) two or more DataFrames along a specified axis (either rows or columns). It is a powerful tool for combining data in various ways.
In Pandas, how can you filter the rows of a DataFrame where the value in a specific column is greater than a threshold?
- df.apply('column_name > threshold')
- df.filter('column_name > threshold')
- df.select('column_name').where('value > threshold')
- df[df['column_name'] > threshold]
To filter rows in a Pandas DataFrame where the value in a specific column is greater than a threshold, you can use boolean indexing. This is achieved by specifying the condition inside square brackets.
In Pandas, how do you access the first five rows of a DataFrame?
- df.head()
- df.iloc[:5]
- df.loc[:5]
- df[0:5]
To access the first five rows of a Pandas DataFrame, you should use the head() method, like df.head(). This method returns the top N rows (default is 5) of the DataFrame.
In pytest, the ____ fixture is used to execute specific finalization code after the test function has completed.
- cleanup
- finalize
- teardown
- yield_fixture
In pytest, the teardown fixture is used to execute finalization code after the test function has completed its execution. This allows you to perform cleanup tasks or teardown actions after the test has run, such as closing a database connection or cleaning up temporary files.
In Flask, the ____ object is used to store data that is accessible from all parts of an application.
- app
- request
- route
- session
In Flask, the session object is used to store data that is accessible across different parts of an application. It allows you to store user-specific data, such as login information or shopping cart contents, across multiple requests.