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  9. TemplateTableParameters class

TemplateTableParameters class

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TemplateTableParameters class

Provides parameters for the table detection algorithms.

There are two algorithms to detect a table:

  • Detect a table in the rectangular area with set columns. This algorithm is useful for simple tables (without merged columns) and provides more accurate detection.
  • Detect a table in any place on the page. This is a more complex algorithm. It can detect tables in any place on the page. Additional parameters help to detect a table more correctly.

In some cases when algorithms can’t detect a table or do it in a non‑accurate way, TemplateTableLayout class is used.

The TemplateTableParameters type exposes the following members:

Constructors

Constructor Description
init Initializes a new instance of the TemplateTableParameters class.
init Initializes a new instance of the TemplateTableParameters class.

Properties

Property Description
has_merged_cells The value indicates whether the table has merged cells. True if the table has merged cells; otherwise False. None if it isn’t set.
min_column_count The minimum number of the table columns; None if it isn’t set.
min_row_count The minimum number of table rows.
min_vertical_space The minimum space between the table columns.
rectangle The rectangular area that contains the table.
vertical_separators The table columns separators.

Example 

from groupdocs.parser import Parser
from groupdocs.parser.data import Rectangle, Point, Size
from groupdocs.parser.templates import Template, TemplateTable, TemplateTableParameters

table_area = Rectangle(Point(175.0, 350.0), Size(400.0, 200.0))
columns = [185.0, 370.0, 425.0, 485.0, 545.0]

table = TemplateTable(
    parameters=TemplateTableParameters(table_area, columns),
    name="Details",
)

template = Template([table])

with Parser("./invoice.pdf") as parser:
    data = parser.parse_by_template(template)
    if data is not None:
        fields = data.get_fields_by_name("Details")
        if fields:
            details = fields[0].page_area
            print(f"Rows extracted: {details.row_count}")

See Also

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