sort_index() for index sorting in Pandas - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to sort the DataFrame by its index in ascending order.

Pandas

df_sorted = df.[1]()

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

Asort_index

Bsort_values

Csort

Dorder

Attempts:

3 left

💡 Hint

Common Mistakes

Using sort_values() instead of sort_index()

Using sort() which is deprecated

Trying to use order() which is not a pandas method

The sort_index() method sorts the DataFrame by its index labels.

2fill in blank

medium

Complete the code to sort the DataFrame index in descending order.

Pandas

df_sorted = df.sort_index([1]=False)

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

Aascending

Bdescending

Creverse

Dorder

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'descending' parameter which does not exist

Using 'reverse' parameter which is invalid

Confusing parameter names

The ascending parameter controls the sort order. Setting it to True sorts ascending, False sorts descending.

3fill in blank

hard

Fix the error in the code to sort the DataFrame index in descending order.

Pandas

df_sorted = df.sort_index(ascending=[1])

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

A'False'

BTrue

CFalse

D0

Attempts:

3 left

💡 Hint

Common Mistakes

Passing 'False' as a string instead of boolean

Passing 0 which is interpreted differently

Using True which sorts ascending

To sort descending, set ascending=False as a boolean, not as a string or number.

4fill in blank

hard

Fill both blanks to sort the DataFrame index in descending order and reset the index.

Pandas

df_sorted = df.sort_index([1]=False).[2](drop=True)

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

Aascending

Breset_index

Csort_values

Dsort_index

Attempts:

3 left

💡 Hint

Common Mistakes

Using sort_values instead of reset_index

Not setting drop=True when resetting index

Using ascending=True which sorts ascending

First, sort the index descending by setting ascending=False. Then reset the index with reset_index(drop=True) to get a clean integer index.

5fill in blank

hard

Fill both blanks to sort the DataFrame index in ascending order, keep the index, and select only rows where index is greater than 2.

Pandas

df_filtered = df.sort_index([1]=True).loc[[2] > 2, :]

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

Aascending

Bdf.index

C:

Dindex

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'index' instead of 'df.index' for filtering

Using False for ascending which sorts descending

Not selecting columns properly

Sort ascending by setting ascending=True. Use df.index to filter rows where index > 2. Use : to select all columns.