Which one is the correct syntax to import library for data visualisation? You may choose one or more answers.

Question

BlackTom AI · Accepted Answer

To begin, let's restate the task and the options clearly so we can evaluate each choice against common Python data visualization practices.
Question: Which one is the correct syntax to import library for data visualisation? You may choose one or more answers.
Options:
- import seaborn as sns
- import matplotlib.pyplot as plt
- import pandas as pd
- import numpy as np

Now, analyze each option:
Option 1: import seaborn as sns
Seaborn is a data visualization library, and the conventional alias in code is sns. This makes the statement correct as a standard import for working with seaborn visuals.
Option 2: import matplotlib.pyplot as plt
Matplotlib's pyplot module is almost universally imported with the alias plt. This is the standard syntax used when creating plots with matplotlib, so this option is also correct.
Option 3: import pandas as pd
Pandas is a data manipulation library, not primarily a visualization library. While pandas can plot data using its own plotting methods, the import syntax shown is for pandas and would be considered correct for pandas usage, but not for data visualization libraries specifically. Since the question asks about libraries for data visualization, this one is not a correct choice in that context.
Option 4: import numpy as np
NumPy provides numerical array processing and mathematical operations, but it is not a visualization library. It can support data preparation for plots, yet the import itself does not import a visualization library. Therefore, this is not a correct choice for data visualization imports.

In summary, the two options that align with standard data visualization libraries are the seaborn import (sns) and the matplotlib.pyplot import (plt). The pandas and NumPy imports do not directly import visualization libraries, even though they may be used alongside plotting. The reasoning highlights the typical pairings and the functional roles of these libraries, clarifying why only the first two are appropriate for visualization imports.

Which one is the correct syntax to import library for data visualisation? You may choose one or more answers.

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