This is a Python package that provides a simple way to create tables using the Tabulator library. It is built on top of the NiceGUI library.
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- ✅Easily utilize various events and methods from the Tabulator library.
- ✅Built-in themes for Bootstrap 4 and Material Design.Example
- ✅Cell Slots: Place any NiceGUI component within a cell and access all its functionalities without writing string templates. Example
- ✅Built-in support for creating tables from pandas data. Example
- 🔲Built-in support for downloading in formats such as Excel, PDF, etc.
- 🔲Row Slots
pip install nicegui-tabulator
from nicegui_tabulator import tabulator
from nicegui import ui
tabledata = [
{"id": 1, "name": "Oli Bob", "age": "12", "col": "red", "dob": ""},
{"id": 2, "name": "Mary May", "age": "1", "col": "blue", "dob": "14/05/1982"},
{
"id": 3,
"name": "Christine Lobowski",
"age": "42",
"col": "green",
"dob": "22/05/1982",
},
{
"id": 4,
"name": "Brendon Philips",
"age": "125",
"col": "orange",
"dob": "01/08/1980",
},
{
"id": 5,
"name": "Margret Marmajuke",
"age": "16",
"col": "yellow",
"dob": "31/01/1999",
},
]
table_config = {
"height": 205,
"data": tabledata,
"columns": [
{"title": "Name", "field": "name", "width": 150, "headerFilter": "input"},
{"title": "Age", "field": "age", "hozAlign": "left", "formatter": "progress"},
{"title": "Favourite Color", "field": "col"},
{
"title": "Date Of Birth",
"field": "dob",
"sorter": "date",
"hozAlign": "center",
},
],
}
table = tabulator(table_config).on_event("rowClick", lambda e: ui.notify(e))
def on_sort():
table.run_table_method(
"setSort",
[
{"column": "name", "dir": "desc"},
{"column": "age", "dir": "asc"},
],
)
ui.button("sort", on_click=on_sort)
create from pandas dataframe:
from nicegui_tabulator import tabulator
import pandas as pd
df = pd.DataFrame(
{
"name": ["Alice", "Bob", "Charlie"],
"age": [25, 30, 35],
"color": ["blue", "red", "green"],
"dob": [None, "2021-01-01", "2021-02-02"],
}
)
tabulator.from_pandas(df)
You can update column configurations immediately after creating the table.
tabulator.from_pandas(df).update_column_definition(
"age", {"hozAlign": "left", "formatter": "progress"}
)
Cell Slots allow you to place any NiceGUI component within a cell and access all its functionalities without writing string templates.
from nicegui import ui
from nicegui_tabulator import tabulator, CellSlotProps
tabledata = [
{"id": 1, "name": "bar", "age": "12"},
{"id": 2, "name": "foo", "age": "1"},
]
table_config = {
"data": tabledata,
"columns": [
{"title": "Name", "field": "name"},
{"title": "Age", "field": "age"},
],
"printConfig": {
"formatCells": False,
},
}
table = tabulator(table_config)
@table.add_cell_slot("name")
def _(props: CellSlotProps):
# This function is called when rendering the cell of the table, and it receives the properties of the cell,
# including the value of the cell, row index, column name, etc.
# props.update_value(new_value) can update the value of the cell (updates server-side only, the client needs to manually refresh `sync_data_to_client`).
ui.input(value=props.value, on_change=lambda e: props.update_value(e.value))
@table.add_cell_slot("age")
def _(props: CellSlotProps):
ui.number(value=props.value, min=0, max=100,on_change=lambda e: props.update_value(e.value))
def print_table_data():
table.sync_data_to_client()
table.run_table_method("print", True)
ui.button("print table data", on_click=print_table_data)
from nicegui_tabulator import tabulator, use_theme
# use the theme for all clients
use_theme('bootstrap4')
# use the theme only for the current client
use_theme('bootstrap4', shared=False)
@ui.page('/')
def my_page():
# use the theme only for this page
use_theme('bootstrap4')