String type (object, string) in Pandas - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a pandas Series with string data type.

Pandas

import pandas as pd
s = pd.Series(['apple', 'banana', 'cherry'], dtype=[1])
print(s.dtype)

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

A"string"

B"int"

C"float"

D"bool"

Attempts:

3 left

💡 Hint

Common Mistakes

Using dtype="object" instead of "string"

Using numeric dtypes like int or float for text data

Using dtype="string" creates a Series with pandas string type.

2fill in blank

medium

Complete the code to convert a pandas Series to string type.

Pandas

import pandas as pd
s = pd.Series([1, 2, 3])
s = s.[1]()
print(s.dtype)

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

Aastype(float)

Bastype(int)

Castype(str)

Dastype(bool)

Attempts:

3 left

💡 Hint

Common Mistakes

Using astype(int) which converts to integer

Using astype(float) which converts to float

Use astype(str) to convert a Series to string type.

3fill in blank

hard

Fix the error in the code to check if the Series has string dtype.

Pandas

import pandas as pd
s = pd.Series(['a', 'b', 'c'], dtype='string')
if s.dtype == [1]:
    print("Series is string type")

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

Apd.StringDtype()

B"string"

Cstr

Dobject

Attempts:

3 left

💡 Hint

Common Mistakes

Comparing dtype to the string "string" instead of pd.StringDtype()

Using str or object which are not the pandas string dtype

Use pd.StringDtype() to compare dtype for pandas string type.

4fill in blank

hard

Fill both blanks to create a DataFrame column with string type and check its dtype.

Pandas

import pandas as pd
df = pd.DataFrame({'name': ['Tom', 'Jane', 'Alice']})
df['name'] = df['name'].[1]([2])
print(df['name'].dtype)

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

Aastype

Bstr

C"string"

Dint

Attempts:

3 left

💡 Hint

Common Mistakes

Passing str instead of "string" to astype()

Using int dtype for text data

Use astype("string") to convert the column to string dtype.

5fill in blank

hard

Fill all three blanks to create a Series with string dtype, convert it to object dtype, and print both dtypes.

Pandas

import pandas as pd
s = pd.Series(['x', 'y', 'z'], dtype=[1])
s_obj = s.[2]([3])
print(s.dtype, s_obj.dtype)

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

A"string"

Bastype

C"object"

D"int"

Attempts:

3 left

💡 Hint

Common Mistakes

Using dtype="object" to create the Series initially

Using wrong method name instead of astype

Create a string dtype Series with "string", convert to object dtype with astype("object").