Resetting index in Pandas - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to reset the index of the DataFrame df.

Pandas

df = df.[1]()

Drag options to blanks, or click blank then click option'

Areset_index

Bset_index

Cdrop

Dsort_index

Attempts:

3 left

💡 Hint

Common Mistakes

Using set_index() instead of reset_index().

Trying to use drop() which removes columns, not reset index.

The reset_index() method resets the index of the DataFrame to the default integer index.

2fill in blank

medium

Complete the code to reset the index of df and drop the old index.

Pandas

df = df.reset_index([1]=True)

Drag options to blanks, or click blank then click option'

Adrop

Bappend

Clevel

Dinplace

Attempts:

3 left

💡 Hint

Common Mistakes

Using inplace=True which modifies the DataFrame in place but does not drop the old index.

Using append=True which adds the old index as a new level.

The drop=True argument removes the old index instead of adding it as a column.

3fill in blank

hard

Fix the error in the code to reset the index of df without adding the old index as a column.

Pandas

df.reset_index([1]=True)

Drag options to blanks, or click blank then click option'

Alevel

Binplace

Cdrop

Dappend

Attempts:

3 left

💡 Hint

Common Mistakes

Using inplace=True alone does not drop the old index column.

Using append=True adds the old index as a new level.

To avoid adding the old index as a column, use drop=True in reset_index().

4fill in blank

hard

Fill both blanks to reset the index of df in place and drop the old index.

Pandas

df.reset_index([1]=True, [2]=True)

Drag options to blanks, or click blank then click option'

Ainplace

Bdrop

Cappend

Dlevel

Attempts:

3 left

💡 Hint

Common Mistakes

Confusing append with drop.

Forgetting to set inplace=True when wanting to modify the DataFrame directly.

Use inplace=True to modify df directly and drop=True to remove the old index column.

5fill in blank

hard

Fill all three blanks to reset the index of df, drop the old index, and keep the changes in place.

Pandas

df.reset_index([1]=True, [2]=True, [3]=False)

Drag options to blanks, or click blank then click option'

Ainplace

Bdrop

Cverify_integrity

Dappend

Attempts:

3 left

💡 Hint

Common Mistakes

Using append=True which adds the old index as a new column.

Not understanding the purpose of verify_integrity argument.

Use inplace=True to modify df directly, drop=True to remove the old index, and verify_integrity=False to skip index integrity check.