pydlfmt 0.0.10

pydlfmt will take a list of objects, dicts, etc and output them to a PDF or XLSX

Python data list Formatter

Take a list of data elements and transform them into a spreadsheet or PDF document.

• Elements can be a dictionary, dataclass or any object
• You specify which columns are to be included in the output
• Columns can have custom formatting

Example - Assuming the data variable has been loaded prior to this snippet.

df = DataFormatter(data=data)
df.columns = [
    Column("id"),
    Column("name"),
    Column("sex"),
    Column("age"),
    Column("year"),
    Column("team"),
    Column("sport"),
]
df.to_pdf(filename=os.path.join("../examples", "output", "sample.pdf"))
df.to_excel(
    filename=os.path.join("../examples", "output", "sample.xlsx"),
    format_table=True,
)

• Create a DataFormatter instance
• Define the columns that you want included in your output
  • Column names are used to match up with the input data column or element names
• Call to_pdf or to_excel to build the output

Columns

You have a lot of control over how the column is displayed. The Column dataclass object has the following attributes.

• name - the name of the column. If your data list is a list of dictionaries, then this should match one of the keys of the dictionary. It must exist in all rows in the list. If you data list is a list of dataclasses or objects, then this much match one of the attributes of the object that exists in all rows of the list.
• heading - the column heading. Will default to the column name if none provided.
• font_size - default 10 - for PDF, this is override the font size of the cell.
• bold - default False - for PDF only, should this column be bold
• justify - default LEFT - LEFT, CENTER or RIGHT
• scalar - for Excel only - a scalar function that should be run on this column. Valid values are SUM, AVG
• decimal_positions - number of decimal positions to round to
• currency - should we display the $
• excel_formula - an Excel formula that you want run to produce the output for this column
• datatype - defualt str - what is the datatype for this column
• wrap - default False - wrap text to fit in the column
• width - the default width to use for this column
• max_width - the maximum width - use to ensure longer fields get the width they need
• paragraph_style - PDF only - pass in custom reportlab paragraph_style to be applied to all the cells in a column
• include_commas - default False - should we include commas when printing numbers