reflex/pynecone/components/datadisplay/datatable.py
2022-12-13 21:47:35 -08:00

78 lines
2.1 KiB
Python

"""Table components."""
from typing import Any, List
from pynecone import utils
from pynecone.components.component import Component, ImportDict
from pynecone.components.tags import Tag
from pynecone.var import Var
class Gridjs(Component):
"""A component that wraps a nivo bar component."""
library = "gridjs-react"
class DataTable(Gridjs):
"""A data table component."""
tag = "Grid"
# The data to display. EIther a list of lists or a pandas dataframe.
data: Any
# The columns to display.
columns: Var[List]
# Enable a search bar.
search: Var[bool]
# Enable sorting on columns.
sort: Var[bool]
# Enable resizable columns.
resizable: Var[bool]
# Enable pagination.
pagination: Var[bool]
@classmethod
def create(cls, *children, **props):
"""Create a datable component.
Args:
*children: The children of the component.
**props: The props to pass to the component.
Returns:
The datable component.
Raises:
ValueError: If a pandas dataframe is passed in and columns are also provided.
"""
# If data is a pandas dataframe and columns are provided throw an error.
if utils.is_dataframe(type(props.get("data"))) and props.get("columns"):
raise ValueError(
"Cannot pass in both a pandas dataframe and columns to the data_table component."
)
# Create the component.
return super().create(
*children,
**props,
)
def _get_imports(self) -> ImportDict:
return utils.merge_imports(
super()._get_imports(), {"": {"gridjs/dist/theme/mermaid.css"}}
)
def _render(self) -> Tag:
if utils.is_dataframe(type(self.data)):
# If given a pandas df break up the data and columns
self.columns = Var.create(list(self.data.columns.values.tolist())) # type: ignore
self.data = Var.create(list(self.data.values.tolist())) # type: ignore
return super()._render()