Comments (2)
Currently options can be modified by accessing the native element
ds = bi.data_source(
pd.DataFrame(
{"name": "Alice", "age": 18, "parent": "David"},
{"name": "Bob", "age": 21, "parent": "Eve"},
{"name": "Carol", "age": 42, "parent": "Frank"},
)
)
table = ds.ui_aggrid()
col_defs: List[Dict] = table.element.options["columnDefs"]
# Remove the configuration of name and age.
col_defs.pop(0)
col_defs.pop(0)
# Insert a grouping of name and age
col_defs.insert(
0,
{
"headerName": "xxxx",
"children": [
{
"field": "name",
},
{
"field": "age",
},
],
},
)
from ex4nicegui.
Perhaps a way to tweak the configuration could be provided
ds.ui_aggrid().adjust_column_defs(
{
# 0 means put in the first column
0: {
"headerName": "xxxx",
"children": [
{
"field": "name",
},
{
"field": "age",
},
],
},
},
# Remove some columns
remove=["name", "age"],
)
from ex4nicegui.
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