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35 changes: 34 additions & 1 deletion panel/io/datamodel.py
Original file line number Diff line number Diff line change
@@ -1,6 +1,10 @@
from __future__ import annotations

import sys
import weakref
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from functools import partial
from typing import Any
from weakref import WeakKeyDictionary

import bokeh
Expand Down Expand Up @@ -35,6 +39,26 @@ def validate(self, value, detail=True):
raise ValueError(msg)


class PolarsDataFrame(bokeh.core.property.bases.Property):
""" Accept Polars DataFrame values.

This property only exists to support type validation, e.g. for "accepts"
clauses. It is not serializable itself, and is not useful to add to
Bokeh models directly.

"""

def validate(self, value: Any, detail: bool = True) -> None:
super().validate(value, detail)

import polars as pl
if isinstance(value, (pl.DataFrame, pl.LazyFrame)):
return

msg = "" if not detail else f"expected Pandas DataFrame, got {value!r}"
raise ValueError(msg)


class ParameterizedList(bokeh.core.property.bases.Property):
""" Accept a list of Parameterized objects.

Expand Down Expand Up @@ -88,6 +112,15 @@ def bytes_param(p, kwargs):
kwargs['default'] = None
return bp.Nullable(bp.Bytes, **kwargs)

def df_to_dict(df):
if 'polars' in sys.modules:
import polars as pl
if isinstance(df, pl.LazyFrame):
df = df.collect()
if isinstance(df, pl.DataFrame):
df = df.to_pandas()
return ColumnDataSource._data_from_df(df)

PARAM_MAPPING = {
pm.Array: lambda p, kwargs: bp.Array(bp.Any, **kwargs),
pm.Boolean: lambda p, kwargs: bp.Bool(**kwargs),
Expand All @@ -98,7 +131,7 @@ def bytes_param(p, kwargs):
pm.Color: color_param_to_ppt,
pm.DataFrame: lambda p, kwargs: (
bp.ColumnData(bp.Any, bp.Seq(bp.Any), **kwargs),
[(bp.PandasDataFrame, lambda x: ColumnDataSource._data_from_df(x))]
[(bp.PandasDataFrame, df_to_dict), (PolarsDataFrame, df_to_dict)]
),
pm.DateRange: lambda p, kwargs: bp.Tuple(bp.Datetime, bp.Datetime, **kwargs),
pm.Date: lambda p, kwargs: bp.Datetime(**kwargs),
Expand Down