Writing to Excel with to_excel in Pandas - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

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

Pandas

df.to_excel([1])

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

A'data.xlsx'

B'data.txt'

C'data.csv'

D'data.json'

Attempts:

3 left

💡 Hint

Common Mistakes

Using a file extension other than '.xlsx' causes the file not to be saved as Excel.

Forgetting to put the file name in quotes.

The to_excel method requires the filename with an '.xlsx' extension to save as an Excel file.

2fill in blank

medium

Complete the code to save the DataFrame to an Excel file without including the index.

Pandas

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

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

Aindex

Bheader

Ccolumns

Dsheet_name

Attempts:

3 left

💡 Hint

Common Mistakes

Using header=False instead of index=False.

Misspelling the parameter name.

Setting index=False tells pandas not to write row indices to the Excel file.

3fill in blank

hard

Fix the error in the code to save only specific columns 'A' and 'B' to Excel.

Pandas

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

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

Aindex

Bheader

Csheet_name

Dcolumns

Attempts:

3 left

💡 Hint

Common Mistakes

Using index instead of columns to select columns.

Passing columns as a string instead of a list.

The columns parameter lets you select which columns to write to the Excel file.

4fill in blank

hard

Fill both blanks to save the DataFrame to an Excel file named 'report.xlsx' with the sheet named 'Summary'.

Pandas

df.to_excel([1], [2]='Summary')

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

A'report.xlsx'

B'data.xlsx'

Csheet_name

Dindex

Attempts:

3 left

💡 Hint

Common Mistakes

Using the wrong parameter name for sheet name.

Confusing file name and sheet name parameters.

The first argument is the file name, and sheet_name='Summary' sets the sheet name.

5fill in blank

hard

Fill all three blanks to save the DataFrame to 'final.xlsx', without the index, and with the sheet named 'Data'.

Pandas

df.to_excel([1], [2]=False, [3]='Data')

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

A'final.xlsx'

Bindex

Csheet_name

Dheader

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up parameter names.

Forgetting to put file name in quotes.

The first blank is the file name, second is index=False to exclude indices, third is sheet_name='Data'.

Practice

1. What does the to_excel function in pandas do?

easy

A. Saves a DataFrame to an Excel file

B. Reads data from an Excel file into a DataFrame

C. Deletes an Excel file from disk

D. Converts Excel formulas into Python code

Solution

1. Step 1: Understand the purpose of to_excel

   The to_excel function is used to save or export a pandas DataFrame into an Excel file format.

2. Step 2: Differentiate from other Excel functions

   Functions like read_excel are for reading Excel files, not saving. Deleting files or converting formulas are unrelated.

3. Final Answer:

   Saves a DataFrame to an Excel file -> Option A

4. Quick Check:

   to_excel = Save DataFrame [OK]

Hint: Remember: 'to' means saving out, 'read' means loading in [OK]

Common Mistakes:

• Confusing to_excel with read_excel
• Thinking it deletes files
• Assuming it converts formulas

2. Which of the following is the correct syntax to save a DataFrame df to an Excel file named data.xlsx?

easy

A. df.to_excel('data.xlsx')

B. df.save_excel('data.xlsx')

C. to_excel(df, 'data.xlsx')

D. df.write_excel('data.xlsx')

Solution

1. Step 1: Recall the method call format

   In pandas, saving a DataFrame uses the method to_excel called on the DataFrame object.

2. Step 2: Check the syntax correctness

   The correct syntax is df.to_excel('filename.xlsx'). Other options use incorrect method names or function calls.

3. Final Answer:

   df.to_excel('data.xlsx') -> Option A

4. Quick Check:

   Method on DataFrame = to_excel [OK]

Hint: Use df.to_excel('filename.xlsx') to save [OK]

Common Mistakes:

• Using non-existent methods like save_excel
• Calling to_excel as a standalone function
• Using wrong method names like write_excel

3. Given the code below, what will be the content of the Excel file output.xlsx?

import pandas as pd
df = pd.DataFrame({'A': [1, 2], 'B': [3, 4]})
df.to_excel('output.xlsx', index=False, sheet_name='Sheet1')

medium

A. Excel file with columns A and B, including row numbers, default sheet name

B. Excel file with columns A and B, no row numbers, sheet named 'Sheet1'

C. Excel file with only column A saved

D. Excel file with columns A and B, but sheet name is 'Sheet2'

Solution

1. Step 1: Analyze parameters in to_excel

   The argument index=False means row numbers are not saved. sheet_name='Sheet1' sets the sheet name explicitly.

2. Step 2: Understand DataFrame content saved

   All columns 'A' and 'B' are saved because no column filtering is done.

3. Final Answer:

   Excel file with columns A and B, no row numbers, sheet named 'Sheet1' -> Option B

4. Quick Check:

   index=False removes row numbers [OK]

Hint: index=False means no row numbers saved [OK]

Common Mistakes:

• Assuming row numbers are saved by default
• Ignoring the sheet_name parameter
• Thinking only one column is saved

4. What is wrong with this code snippet?

import pandas as pd
df = pd.DataFrame({'X': [10, 20]})
df.to_excel('file.xlsx', sheet='Data')

medium

A. File extension should be '.xls' not '.xlsx'

B. DataFrame is empty and cannot be saved

C. Missing import for Excel writer

D. The parameter name 'sheet' is incorrect; it should be 'sheet_name'

Solution

1. Step 1: Check parameter names for to_excel

   The correct parameter to name the sheet is sheet_name, not sheet.

2. Step 2: Validate other parts of the code

   The DataFrame is valid and not empty. The file extension '.xlsx' is correct. No extra import is needed for basic usage.

3. Final Answer:

   The parameter name 'sheet' is incorrect; it should be 'sheet_name' -> Option D

4. Quick Check:

   Use sheet_name to name sheets [OK]

Hint: Use exact parameter names like sheet_name [OK]

Common Mistakes:

• Using wrong parameter names like 'sheet'
• Thinking file extension must be '.xls'
• Assuming extra imports are needed

5. You want to save two DataFrames df1 and df2 into the same Excel file report.xlsx, each on a different sheet named 'Sales' and 'Expenses'. Which code correctly does this?

hard

A. df1.to_excel('report.xlsx')
df2.to_excel('report.xlsx')

B. df1.to_excel('report.xlsx', sheet_name='Sales')
df2.to_excel('report.xlsx', sheet_name='Expenses')

C. with pd.ExcelWriter('report.xlsx') as writer:
df1.to_excel(writer, sheet_name='Sales')
df2.to_excel(writer, sheet_name='Expenses')

D. pd.to_excel([df1, df2], 'report.xlsx', sheets=['Sales', 'Expenses'])

Solution

1. Step 1: Understand saving multiple sheets

   To save multiple DataFrames in one Excel file with different sheets, use pd.ExcelWriter as a context manager.

2. Step 2: Check code correctness

   with pd.ExcelWriter('report.xlsx') as writer: df1.to_excel(writer, sheet_name='Sales') df2.to_excel(writer, sheet_name='Expenses') uses ExcelWriter and calls to_excel with the writer and sheet names correctly. Directly calling to_excel on the same filename multiple times overwrites the file, and pd.to_excel([df1, df2], ...) is not a valid function.

3. Final Answer:

   with pd.ExcelWriter('report.xlsx') as writer: df1.to_excel(writer, sheet_name='Sales') df2.to_excel(writer, sheet_name='Expenses') -> Option C

4. Quick Check:

   Use ExcelWriter for multiple sheets [OK]

Hint: Use ExcelWriter to save multiple sheets [OK]

Common Mistakes:

• Saving multiple DataFrames separately overwrites the file
• Trying to pass multiple DataFrames directly to to_excel
• Using non-existent functions like pd.to_excel with lists