MarcSkovMadsen
commented
2 weeks ago Solution
To support a custom DataFrame like parameter you need to update panel.io.datamodel.PARAM_MAPPING:
import panel as pn
import param
from panel.custom import JSComponent
import polars as pl
import pandas as pd
from panel_gwalker._tabular_data import TabularData
from panel.io.datamodel import PARAM_MAPPING, bp
pn.extension()
_VALID_CLASSES = (
"<class 'pandas.core.frame.DataFrame'>",
"<class 'polars.dataframe.frame.DataFrame'>",
)
class TabularData(param.Parameter):
def _validate(self, val):
super()._validate(val=val)
try:
if str(val.__class__) in _VALID_CLASSES:
return
except:
pass
msg=f"A value of type '{type(val)}' is not valid"
raise ValueError(msg)
def _column_datasource_from_polars_df(df):
df = df.to_pandas()
return ColumnDataSource._data_from_df(df)
PARAM_MAPPING.update({
TabularData: lambda p, kwargs: (
bp.ColumnData(bp.Any, bp.Seq(bp.Any), **kwargs),
[(bp.PandasDataFrame, _column_datasource_from_polars_df)],
),
})
class GraphicWalker(JSComponent):
object = param.DataFrame()
_esm = '''
export function render({ model, el }) {
console.log(model.object)
el.innerHTML = JSON.stringify(model.object)
}
'''
GraphicWalker(object=pd.DataFrame({"x": [1,2,3]})).servable()
mattpap
philippjfr
panel==1.5.3
I would like to add support for Polars DataFrame to
GraphicWalker.object. Its unclear to me whether this is supported and how. I guess special care is taken about pandas dataframe serialization? Please support it.