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 fun
Key Features:
- Multiple choice questions
- Focus on data handling using Pandas
- Ideal for beginners and intermediate learners
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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