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PYTHON QUIZ

Python Data Manipulation Quiz

Test your knowledge of Python and Pandas with our engaging quiz! Perfect for anyone looking to sharpen their data manipulation skills, this quiz covers essential functions and concepts.

Key Features:

Multiple choice questions
Focus on data handling using Pandas
Ideal for beginners and intermediate learners

6 Questions2 MinutesCreated by CodingGuru752

Command to remove null values

Is.na()

.isnull()

All.na()

Which.null()

Query for dataframe Transpose

Df = pd.read_csv("car_features.csv", index_col=1, low_memory=False).transpose()

Df = pd.read_csv("car_features.csv", index_col=0, low_memory=False).transpose()

This function in the library of Pandas allows you to manipulate data and create new variables:

read_csv function

pivot_table function

apply function

merge function

Identify the correct statement:

The standard marker for missing data in Pandas is NaN

Series act in a way similar to that of an array

Both of the above

None of above

What happens to the indexes when any operations are done to unaligned series?

Total

Union

Intersection

All of above

Replacing null values

Df.replace("na", np.nan)

Df.replace("NA", np.nan)

Df.update("NA", np.nan)

Df.change("", nan)

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