Changing data types (astype) in Data Analysis Python - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to convert the 'age' column to integer type.

Data Analysis Python

df['age'] = df['age'].[1](int)

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

Aastype

Bconvert

Cchange_type

Dto_int

Attempts:

3 left

💡 Hint

Common Mistakes

Using a non-existent method like 'convert' or 'to_int'.

Trying to assign the type directly without a method.

The astype method is used to change the data type of a pandas Series or DataFrame column.

2fill in blank

medium

Complete the code to convert the 'price' column to float type.

Data Analysis Python

df['price'] = df['price'].[1](float)

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

Aconvert

Bastype

Cto_float

Dchange_type

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'to_float' which is not a pandas method.

Trying to convert without using a method.

Use astype(float) to convert a column to float type in pandas.

3fill in blank

hard

Fix the error in the code to convert the 'date' column to string type.

Data Analysis Python

df['date'] = df['date'].[1](str)

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

Achange_type

Bconvert

Cto_string

Dastype

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'to_string' which is not a pandas method for type conversion.

Using 'convert' or 'change_type' which do not exist.

The correct method to change data types in pandas is astype. Other options are not valid pandas methods.

4fill in blank

hard

Fill both blanks to convert the 'score' column to float and then to string.

Data Analysis Python

df['score'] = df['score'].[1](float).[2](str)

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

Aastype

Bconvert

Cto_string

Dchange_type

Attempts:

3 left

💡 Hint

Common Mistakes

Using different methods for each conversion.

Using non-existent methods like 'convert' or 'to_string'.

You can chain astype calls to convert data types step by step.

5fill in blank

hard

Fill all three blanks to create a new column 'age_str' by converting 'age' to string after converting to float.

Data Analysis Python

df['age_str'] = df['age'].[1](int).[2](float).[3](str)

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

Aastype

Bconvert

Cto_string

Dchange_type

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing different methods for conversion.

Using methods that do not exist in pandas.

Use astype for each step of conversion. This chains conversions from int to float to string.