PyCafe - Dash - dag v32 custom filter component

assets/
app.py
requirements.txt
app.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
from dash import Dash, html
import dash_ag_grid as dag
import pandas as pd

app = Dash(__name__)

df = pd.read_csv(
    "https://raw.githubusercontent.com/plotly/datasets/master/ag-grid/olympic-winners.csv"
)

rowData = df.to_dict('records')

columnDefs = [
    { 'field': 'age', 'filter': 'agNumberColumnFilter' },
    { 'field': 'country', 'minWidth': 150 },
    { 'field': 'year', 'filter': {'function': 'YearFilter'}},
    {
      'field': 'date',
      'minWidth': 130,
      'filter': 'agDateColumnFilter',
      'filterParams': {
        'comparator': {'function':'dateComparator'},
      },
    },
    { 'field': 'sport' },
    { 'field': 'gold', 'filter': 'agNumberColumnFilter' },
    { 'field': 'silver', 'filter': 'agNumberColumnFilter' },
    { 'field': 'bronze', 'filter': 'agNumberColumnFilter' },
    { 'field': 'total', 'filter': 'agNumberColumnFilter' },
]

defaultColDef = {
    'editable': True,
    'sortable': True,
    'flex': 1,
    'minWidth': 100,
    'filter': True,
    'resizable': True,
}


app.layout = html.Div(
    [
        html.H3("See the custom filter component in the Year column"),
        dag.AgGrid(
            id="grid",
            columnDefs=columnDefs,
            rowData=rowData,
            defaultColDef=defaultColDef,          
        ),
    ]
)


if __name__ == "__main__":
    app.run(host="127.0.0.1", debug=True)
Py.Cafe

dash-ag-grid-v32-custom-filter-component

dag v32 custom filter component
