Documentation/API/Cross Filter/CrossFilterDataFrame

CrossFilterDataFrame

Display a DataFrame with filters applied from the cross filter.

@solara.component
def CrossFilterDataFrame(df, items_per_page=20, column_actions: List[ColumnAction] = [], cell_actions: List[CellAction] = [], scrollable=False):

    ...

This component wraps DataFrame.

See use_cross_filter for more information about how to use cross filtering.

Arguments

df - a Pandas dataframe.
column_actions - Triggered via clicking on the triple dot icon on the headers (visible when hovering).
cell_actions - Triggered via clicking on the triple dot icon in the cell (visible when hovering).

CrossFilterDataFrame

Arguments

Example

1,704

Too many unique values, will only show the first 100

#	country	continent	year	lifeExp	pop	gdpPercap	iso_alpha	iso_num
0	Afghanistan	Asia	1952	28.801	8425333	779.4453145	AFG	4
1	Afghanistan	Asia	1957	30.332	9240934	820.8530296	AFG	4
2	Afghanistan	Asia	1962	31.997	10267083	853.1007099999998	AFG	4
3	Afghanistan	Asia	1967	34.02	11537966	836.1971382	AFG	4
4	Afghanistan	Asia	1972	36.088	13079460	739.9811057999998	AFG	4
5	Afghanistan	Asia	1977	38.438	14880372	786.11336	AFG	4
6	Afghanistan	Asia	1982	39.854	12881816	978.0114388	AFG	4
7	Afghanistan	Asia	1987	40.822	13867957	852.3959447999998	AFG	4
8	Afghanistan	Asia	1992	41.674	16317921	649.3413952000002	AFG	4
9	Afghanistan	Asia	1997	41.76300000000001	22227415	635.341351	AFG	4
10	Afghanistan	Asia	2002	42.129	25268405	726.7340548	AFG	4
11	Afghanistan	Asia	2007	43.828	31889923	974.5803384	AFG	4
12	Albania	Europe	1952	55.23	1282697	1601.056136	ALB	8
13	Albania	Europe	1957	59.28	1476505	1942.284244	ALB	8
14	Albania	Europe	1962	64.82	1728137	2312.888958	ALB	8
15	Albania	Europe	1967	66.22	1984060	2760.196931	ALB	8
16	Albania	Europe	1972	67.69	2263554	3313.422188	ALB	8
17	Albania	Europe	1977	68.93	2509048	3533.003910000001	ALB	8
18	Albania	Europe	1982	70.42	2780097	3630.880722	ALB	8
19	Albania	Europe	1987	72.0	3075321	3738.932735	ALB	8

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