Report generation (notebooks to HTML/PDF) in Data Analysis Python - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to convert a Jupyter notebook to HTML format.

Data Analysis Python

import nbconvert

html_exporter = nbconvert.[1]()
output = html_exporter.from_filename('report.ipynb')

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

AHTMLExporter

BPDFExporter

CMarkdownExporter

DLatexExporter

Attempts:

3 left

💡 Hint

Common Mistakes

Using PDFExporter instead of HTMLExporter.

Confusing MarkdownExporter with HTMLExporter.

The HTMLExporter class converts notebooks to HTML format.

2fill in blank

medium

Complete the code to save the HTML output to a file.

Data Analysis Python

with open('report.html', [1]) as f:
    f.write(output[0])

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

A'r'

B'rb'

C'a'

D'w'

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'r' mode which is for reading.

Using 'a' mode which appends instead of overwriting.

Use 'w' mode to write text to a new file or overwrite an existing file.

3fill in blank

hard

Fix the error in the code to convert a notebook to PDF using nbconvert.

Data Analysis Python

import nbconvert

pdf_exporter = nbconvert.[1]()
output = pdf_exporter.from_filename('report.ipynb')

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

AHTMLExporter

BPDFExporter

CNotebookExporter

DSlidesExporter

Attempts:

3 left

💡 Hint

Common Mistakes

Using HTMLExporter when PDF output is needed.

Using SlidesExporter which is for slide presentations.

To convert to PDF, use PDFExporter from nbconvert.

4fill in blank

hard

Fill both blanks to create a PDF file from notebook content.

Data Analysis Python

with open('report.pdf', [1]) as f:
    f.write(output[[2]])

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

A'wb'

B'w'

C0

D1

Attempts:

3 left

💡 Hint

Common Mistakes

Opening the file in text mode 'w' for PDF output.

Writing the second element of output which is resources/metadata, not PDF data.

PDF files are binary, so open the file in 'wb' mode and write the first element of output which contains the PDF data.

5fill in blank

hard

Fill all three blanks to convert a notebook to HTML and save it with nbconvert.

Data Analysis Python

from nbconvert import [1]

exporter = [2]()
body, resources = exporter.from_filename('analysis.ipynb')

with open('analysis.html', [3]) as f:
    f.write(body)

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

AHTMLExporter

B'w'

Cnbconvert

DPDFExporter

Attempts:

3 left

💡 Hint

Common Mistakes

Importing PDFExporter when HTML output is needed.

Opening the file in binary mode for HTML output.

Import HTMLExporter from nbconvert, create an exporter instance, and write the HTML body to a file opened in write mode.

Practice

1. What is the main purpose of using jupyter nbconvert in data science?

easy

A. To convert Jupyter notebooks into HTML or PDF reports for easy sharing

B. To run Python code faster inside notebooks

C. To create new Jupyter notebooks automatically

D. To debug errors in Python code within notebooks

Solution

1. Step 1: Understand the function of nbconvert

   jupyter nbconvert is a tool that converts notebooks into other formats like HTML or PDF.

2. Step 2: Identify the main benefit

   Converting notebooks to HTML or PDF helps share results with people who don't use Jupyter notebooks.

3. Final Answer:

   To convert Jupyter notebooks into HTML or PDF reports for easy sharing -> Option A

4. Quick Check:

   nbconvert purpose = convert notebooks to shareable reports [OK]

Hint: Remember nbconvert = notebook to report file [OK]

Common Mistakes:

• Thinking nbconvert runs code faster
• Confusing nbconvert with notebook creation
• Assuming nbconvert is for debugging

2. Which of the following is the correct command to convert a notebook named analysis.ipynb to an HTML file using the terminal?

easy

A. jupyter convert --to html analysis.ipynb

B. jupyter nbconvert --to html analysis.ipynb

C. nbconvert --convert html analysis.ipynb

D. jupyter nbconvert analysis.ipynb --html

Solution

1. Step 1: Recall the correct nbconvert syntax

   The correct command uses jupyter nbconvert --to html filename.ipynb.

2. Step 2: Match the command to options

   jupyter nbconvert --to html analysis.ipynb matches the correct syntax exactly.

3. Final Answer:

   jupyter nbconvert --to html analysis.ipynb -> Option B

4. Quick Check:

   Correct nbconvert syntax = jupyter nbconvert --to html analysis.ipynb [OK]

Hint: Use '--to html' right after nbconvert [OK]

Common Mistakes:

• Using 'jupyter convert' instead of 'jupyter nbconvert'
• Placing options in wrong order
• Using '--html' instead of '--to html'

3. Consider this Python code snippet to convert a notebook to PDF programmatically:

import os
os.system('jupyter nbconvert --to pdf report.ipynb')

What will be the output after running this code if report.ipynb exists and conversion succeeds?

medium

A. Nothing happens; the command runs silently without output

B. The notebook report.ipynb is deleted

C. An error message about missing PDF converter appears

D. A PDF file named report.pdf is created in the current directory

Solution

1. Step 1: Understand os.system command

   The command runs jupyter nbconvert --to pdf report.ipynb in the terminal from Python.

2. Step 2: Know nbconvert PDF output behavior

   If the notebook exists and conversion works, a PDF file report.pdf is created in the same folder.

3. Final Answer:

   A PDF file named report.pdf is created in the current directory -> Option D

4. Quick Check:

   nbconvert PDF output = report.pdf file created [OK]

Hint: nbconvert creates output file with same base name [OK]

Common Mistakes:

• Thinking the notebook file is deleted
• Expecting no output file
• Assuming error without checking converter installation

4. You run this command in terminal:
jupyter nbconvert --to pdf my_notebook.ipynb
but get an error saying PDF conversion failed: 'xelatex' not found.
What is the most likely fix?

medium

A. Install a LaTeX distribution like TeX Live or MiKTeX on your system

B. Rename the notebook file to have a .pdf extension

C. Run the command with --to html instead of pdf

D. Update Jupyter to the latest version

Solution

1. Step 1: Understand the error message

   The error says xelatex is missing, which is a LaTeX tool needed for PDF conversion.

2. Step 2: Identify the fix

   Installing a LaTeX distribution like TeX Live or MiKTeX provides xelatex and fixes the error.

3. Final Answer:

   Install a LaTeX distribution like TeX Live or MiKTeX on your system -> Option A

4. Quick Check:

   Missing xelatex = install LaTeX distribution [OK]

Hint: PDF needs LaTeX; install it if missing [OK]

Common Mistakes:

• Renaming files instead of installing LaTeX
• Switching to HTML without reason
• Assuming Jupyter update fixes LaTeX errors

5. You want to automate generating HTML reports from multiple notebooks in a folder using Python. Which code snippet correctly converts all .ipynb files to HTML?

hard

A. import os
for file in os.listdir():
os.system(f'jupyter nbconvert --to html "{file}"')

B. import os
for file in os.listdir():
if file.endswith('.html'):
os.system(f'jupyter nbconvert --to ipynb "{file}"')

C. import os
for file in os.listdir():
if file.endswith('.ipynb'):
os.system(f'jupyter nbconvert --to html "{file}"')

D. import os
for file in os.listdir():
if file.endswith('.ipynb'):
os.system(f'jupyter convert --to html "{file}"')

Solution

1. Step 1: Filter files with .ipynb extension

   We want to convert only notebook files, so check if filename ends with '.ipynb'.

2. Step 2: Use correct nbconvert command inside loop

   Use jupyter nbconvert --to html "{file}" to convert each notebook to HTML.

3. Final Answer:

   import os for file in os.listdir(): if file.endswith('.ipynb'): os.system(f'jupyter nbconvert --to html "{file}"') -> Option C

4. Quick Check:

   Filter .ipynb and run nbconvert to html [OK]

Hint: Check file extension before converting [OK]

Common Mistakes:

• Trying to convert .html files instead of .ipynb
• Missing file extension check causing errors
• Using wrong command 'jupyter convert' instead of 'nbconvert'