Cells
Python
Table

Table

aspose-cells-foss attēlo Excel strukturētās tabulas (ListObjects) caur Table klasi un TableCollection pieejama kā ws.list_objects. Tabulas nodrošina nosauktus diapazonus, automātisko filtrēšanu, galvenes rindas un rindas joslu stilu, kas iekļauts XLSX formātā.

ImageRenderOptions: aspose.cells_foss

from aspose.cells_foss import TableStyleInfo, TableColumn

TableStyleInfo

Apraksta vizuālo stilu, kas tiek piemērots tabulai (joslu izcelšana, pirmās/pēdējās kolonnas izcelšana).

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TableStyleInfo()

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NameTypeAccessDescription
name``ReadGets the name.
display_name``ReadGets the display name.
ref``ReadGets the ref.
has_headers``ReadGets the has headers.
show_totals_row``ReadGets the show totals row.
show_auto_filter``ReadGets the show auto filter.
table_style_info``ReadGets the table style info.
columnslistReadGets the columns.

TableColumn

Apraksta vienu kolonnu tabulā.

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TableColumn(col_id: int, name: str)
SignatureDescription
__init__(name: str, ref: str, has_headers: bool)
copy()

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Table objekti netiek konstruēti tieši. Izmantojiet ws.list_objects.add(...) vai ws.list_objects.add_with_range(...).

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TableCollection

TableCollection tiek piekļūts kā ws.list_objects. Tas pārvalda visas strukturētās tabulas darblapā.

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pievienot 

ws.list_objects.add(
    start_row: int,
    start_col: int,
    end_row: int,
    end_col: int,
    has_headers: bool = True,
    name: str | None = None
) -> Table

Izveido tabulu pār dotu šūnu diapazonu. Visi indeksi ir 0-based. Ja name ir None, nosaukums tiek ģenerēts automātiski (piemēram,., "Table1").

add_with_range 

ws.list_objects.add_with_range(
    cell_range: str,
    name: str | None = None,
    has_headers: bool = True
) -> Table

Izveido tabulu no A1 stila diapazona virknes (piemēram,., "A1:D10"). Lasāmāk nekā add() cieti kodētiem diapazoniem.

Īpašības un iterācija

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Sekojošais piemērs ieraksta produktu krājumu datu kopu un pārvērš to stilizētā Excel tabulā ar kopsavilkuma rindu.

from aspose.cells_foss import Workbook

wb = Workbook()
ws = wb.worksheets[0]
ws.name = "Inventory"

# Write header and data rows
headers = ["SKU", "Product", "Qty", "Unit Price"]
rows = [
    ["A001", "Widget Alpha", 150, 12.99],
    ["A002", "Widget Beta",   80, 24.50],
    ["A003", "Gadget Gamma",  45, 49.99],
    ["A004", "Gadget Delta",  210, 8.75],
]

for col, h in enumerate(headers):
    ws.cells[0][col].put_value(h)
for row_i, row in enumerate(rows, start=1):
    for col_i, val in enumerate(row):
        ws.cells[row_i][col_i].put_value(val)

# Create a table over A1:D5
table = ws.list_objects.add_with_range("A1:D5", name="InventoryTable")

# Configure style
table.table_style_info.name = "TableStyleMedium9"
table.table_style_info.show_row_stripes = True
table.table_style_info.show_first_column = False
table.table_style_info.show_last_column = False

# Add a totals row with sum on Qty and Unit Price columns
table.show_totals_row = True
table.columns[2].totals_row_function = "sum"    # Qty
table.columns[3].totals_row_function = "sum"    # Unit Price
table.columns[0].totals_row_label = "Total"

wb.save("inventory_table.xlsx")

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