Exporting to Excel in Data Analysis Python - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to export the DataFrame to an Excel file named 'data.xlsx'.

Data Analysis Python

df.to_excel([1])

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

A'data.csv'

B'data.xlsx'

C'data.txt'

D'data.json'

Attempts:

3 left

💡 Hint

Common Mistakes

Using a filename with the wrong extension like '.csv' or '.txt'.

Forgetting to put the filename in quotes.

To export a DataFrame to Excel, use the to_excel method with the filename ending in .xlsx.

2fill in blank

medium

Complete the code to export the DataFrame without the index column.

Data Analysis Python

df.to_excel('output.xlsx', [1]=False)

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

Aindex

Bcolumns

Cinclude_index

Dheader

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'include_index' instead of 'index'.

Setting 'header' to False instead of 'index'.

Use the index parameter and set it to False to exclude the index when exporting.

3fill in blank

hard

Fix the error in the code to export only specific columns to Excel.

Data Analysis Python

df.to_excel('filtered.xlsx', columns=[1])

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

AName, Age

B'Name, Age'

C('Name', 'Age')

D['Name', 'Age']

Attempts:

3 left

💡 Hint

Common Mistakes

Passing a string instead of a list.

Using parentheses instead of square brackets.

The columns parameter expects a list of column names. Use square brackets to create a list.

4fill in blank

hard

Fill both blanks to export the DataFrame to Excel with a custom sheet name and without the index.

Data Analysis Python

df.to_excel('custom.xlsx', sheet_name=[1], [2]=False)

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

A'DataSheet'

Bindex

Cheader

D'Sheet1'

Attempts:

3 left

💡 Hint

Common Mistakes

Using the wrong parameter name for the sheet name.

Forgetting to set index to False.

Use sheet_name to set the Excel sheet name and index=False to exclude the index.

5fill in blank

hard

Fill all three blanks to export a filtered DataFrame to Excel with a custom sheet name and without the index.

Data Analysis Python

df_filtered = df[df['Age'] > [1]]
df_filtered.to_excel('filtered_custom.xlsx', sheet_name=[2], [3]=False)

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

A30

B'FilteredData'

Cindex

D'Data'

Attempts:

3 left

💡 Hint

Common Mistakes

Using quotes around the number 30.

Using the wrong sheet name.

Not setting index to False.

Filter rows where 'Age' is greater than 30, set the sheet name to 'FilteredData', and exclude the index by setting index=False.