read_csv parameters (sep, header, index_col) in Pandas - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to read a CSV file using a comma as the separator.

Pandas

import pandas as pd

df = pd.read_csv('data.csv', sep=[1])

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

A,

B'|'

C';'

D'\t'

Attempts:

3 left

💡 Hint

Common Mistakes

Using a semicolon or tab as separator when the file uses commas.

Leaving the separator blank when the file uses commas.

The sep parameter defines the delimiter used in the CSV file. A comma is the default separator for CSV files.

2fill in blank

medium

Complete the code to read a CSV file where the first row is the header.

Pandas

import pandas as pd

df = pd.read_csv('data.csv', header=[1])

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

A0

Bnull

C1

D-1

Attempts:

3 left

💡 Hint

Common Mistakes

Using null when the file actually has headers.

Using 1 which means the second row is header.

The header=0 means the first row of the file is used as column names.

3fill in blank

hard

Fix the error in reading a CSV file by setting the correct index column.

Pandas

import pandas as pd

df = pd.read_csv('data.csv', index_col=[1])

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

Anull

B0

C1

D-1

Attempts:

3 left

💡 Hint

Common Mistakes

Using null when the file has an index column.

Using 1 which selects the second column as index.

The index_col=0 tells pandas to use the first column as the row labels (index).

4fill in blank

hard

Fill both blanks to read a CSV file with a tab separator and no header row.

Pandas

import pandas as pd

df = pd.read_csv('data.csv', sep=[1], header=[2])

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

A'\t'

Bnull

C0

D','

Attempts:

3 left

💡 Hint

Common Mistakes

Using comma as separator for tab-separated files.

Setting header to 0 when there is no header row.

Use sep='\t' for tab-separated files and header=null when there is no header row.

5fill in blank

hard

Fill all three blanks to read a CSV file with pipe separator, first row as header, and second column as index.

Pandas

import pandas as pd

df = pd.read_csv('data.csv', sep=[1], header=[2], index_col=[3])

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

A'|'

B0

C1

D','

Attempts:

3 left

💡 Hint

Common Mistakes

Using comma as separator for pipe-separated files.

Setting index_col to 0 instead of 1.

Use sep='|' for pipe-separated files, header=0 for first row as header, and index_col=1 to use the second column as index.