Course Content
Data Manipulation using pandas
Data Manipulation using pandas
2. Preprocessing Data: Part II
Challenge
Let's find out how many dwellings of each type are in the dataframe. Below the task description you can find code meanings.
Task
Swipe to show code editor
- Group the values of the
df
dataframe by the'dtypeh'
column values. - Get the number of rows (size) within each group.
DESCRIPTION | CODE |
---|---|
Single-detached house | 1 |
Apartment in build. 5+ storeys | 2 |
Apartment in build. <5 storeys | 3 |
Semi-detached house | 4 |
Apartment in a detached duplex | 5 |
Row house | 6 |
Other single-attached house | 7 |
Mobile home or other movable | 8 |
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Section 3. Chapter 3
Challenge
Let's find out how many dwellings of each type are in the dataframe. Below the task description you can find code meanings.
Task
Swipe to show code editor
- Group the values of the
df
dataframe by the'dtypeh'
column values. - Get the number of rows (size) within each group.
DESCRIPTION | CODE |
---|---|
Single-detached house | 1 |
Apartment in build. 5+ storeys | 2 |
Apartment in build. <5 storeys | 3 |
Semi-detached house | 4 |
Apartment in a detached duplex | 5 |
Row house | 6 |
Other single-attached house | 7 |
Mobile home or other movable | 8 |
Switch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?
Thanks for your feedback!
Section 3. Chapter 3
Switch to desktop for real-world practiceContinue from where you are using one of the options below