Writing to CSV with to_csv in Pandas - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to save the DataFrame to a CSV file named 'data.csv'.

Pandas

df.[1]('data.csv')

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

Ato_excel

Bread_csv

Csave_csv

Dto_csv

Attempts:

3 left

💡 Hint

Common Mistakes

Using read_csv instead of to_csv.

Using to_excel which saves to Excel files, not CSV.

The to_csv method saves a DataFrame to a CSV file.

2fill in blank

medium

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

Pandas

df.to_csv('data.csv', [1]=False)

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Aheader

Bindex

Ccolumns

Dsep

Attempts:

3 left

💡 Hint

Common Mistakes

Using header=False which hides column names.

Using sep to change separator instead of controlling index.

Setting index=False prevents saving the row numbers to the CSV.

3fill in blank

hard

Fix the error in saving only specific columns 'A' and 'B' to CSV.

Pandas

df.to_csv('data.csv', [1]=['A', 'B'])

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

Acolumns

Bindex

Cheader

Dusecols

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'usecols' which is not valid for to_csv.

Using 'index' which controls row labels, not columns.

The columns parameter selects which columns to save.

4fill in blank

hard

Complete the code to save the DataFrame with semicolon separator and no header.

Pandas

df.to_csv('data.csv', sep=';', header=[1])

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A;

BTrue

CFalse

D,

Attempts:

3 left

💡 Hint

Common Mistakes

Using comma as separator when semicolon is needed.

Setting header to True which keeps column names.

Use sep=';' to change separator and header=False to omit column names.

5fill in blank

hard

Fill all three blanks to save only columns 'X' and 'Y', without index, and using tab as separator.

Pandas

df.to_csv('data.csv', [1]=['X', 'Y'], [2]=False, sep='[3]')

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

Acolumns

Bindex

C\t

Dheader

Attempts:

3 left

💡 Hint

Common Mistakes

Using header instead of index to remove row labels.

Using comma instead of tab as separator.

Use columns=['X', 'Y'] to select columns, index=False to skip row labels, and sep='\t' for tab separator.