Thank you so much guys I try to implement it! <3

Il giorno giovedì 29 settembre 2022 alle 18:53:29 UTC+2 mfhepp ha scritto:

> As my last post might have been too brief to be actually helpful, here is 
> a complete example:
>
> 1. Python Script
> ================
>
> # csv2md.py
> # Run with
> # python csv2md.py > markdown_file.md
>
> import csv
>
> # Read from file and return dict with keys from first line in CSV
> with open('data/performance_review.csv', newline='') as csvfile:
> reader = csv.DictReader(csvfile)
> # Convert to a list so that we can access it multiple times
> reader = list(reader)
>
> print("# Employee Assessment Report")
> print()
> print("This report contains assessments for the following staff members:")
> print()
> for row in reader:
> print(f"- {row.get('name', '[Name missing]')}")
> print()
>
> for row in reader:
> print(f"# Employee: {row.get('name', '[Name missing]')}")
> print()
> print(f"## Job Position: {row.get('position', 'N/A')}")
> print() 
> print(f"{row.get('job_description', 'No detailed description 
> available.')}")
> print() 
> print(f"## Assessment")
> print() 
> print(f"**Overall Performance:** {row.get('rating', 'N/A')} of 5")
> print() 
> print(f"{row.get('review', 'No detailed review available.')}")
>
> 2. Example File data/performance_review.csv
> ===========================================
>
> name, position, job_description, rating, review
> Joe Miller, Developer, "Python back-end", 4, "Hard-working and diligent"
> Paula Mayer, CIO, "Overall IT responsibility", 4, "Effective and 
> motivating"
>
> 3. Output markdown_file.md
> ==========================
>
> # Employee Assessment Report
>
> This report contains assessments for the following staff members:
>
> - Joe Miller
> - Paula Mayer
>
> # Employee: Joe Miller
>
> ## Job Position: N/A
>
> No detailed description available.
>
> ## Assessment
>
> **Overall Performance:** N/A of 5
>
> No detailed review available.
> # Employee: Paula Mayer
>
> ## Job Position: N/A
>
> No detailed description available.
>
> ## Assessment
>
> **Overall Performance:** N/A of 5
>
> No detailed review available.
>
> 4. Rendering
> ============
>
> You can then use any Pandoc workflow you like to convert that into PDF, MS 
> Word, etc.
>
> If the data is a bit more complex, I would parse into a Pandas DataFrame 
> and process the data in there, like so
>
> df = pd.read_csv('data/performance_review.csv')
>
>
> Hope that helps!
>
> Best wishes
> Martin
>
>
> Resources:
> =========
>
> - https://pandas.pydata.org/docs/reference/api/pandas.read_csv.html
> - https://docs.python.org/3/library/csv.html
>
>
> -----------------------------------
> martin hepp https://www.heppnetz.de
> mfh...-Re5JQEeQqe8AvxtiuMwx3w@public.gmane.org
>
>
>
>
>
>
>
>
>
>
>
> > On 28. Sep 2022, at 12:38, Thomas Chevrier <tch...-Re5JQEeQqe8AvxtiuMwx3w@public.gmane.org> wrote:
> > 
> > 
> https://stackoverflow.com/questions/71224773/dynamically-set-r-markdown-title-output-filename-and-global-variables 
> > 
> > could this be of any help to what you are trying to achieve or am I 
> misreading your issue? Apologies if so.
> > 
> > On Wednesday, September 28, 2022 at 6:06:57 AM UTC+9 
> gianluc...-Re5JQEeQqe8AvxtiuMwx3w@public.gmane.org wrote:
> > Hi everyone, 
> > 
> > I try to create a Structured PDF (Title, headers, dates, and other 
> stuff) starting from a CSV file which contain an header and responses. This 
> CSV was generated by a Google Forms Questions and Answer, and starting from 
> that one I want to create a simple formatted document.
> > 
> > Anyone have some ideas on which characteristcs of pandoc can I use to 
> obtain this results?
> > 
> > As example, i share with you some screen of the desidered results
> > 
> > CSV file:
> > 
> > PDF (output) file
> > 
> > 
> > Thank you so much for your help!
> > 
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> .
>
>

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