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Data Slicer

Overview​

This package provides the DataSlicer and DataSlicerModal components.

DataSlicer and DataSlicerModal​

These components allow the user to select a subset of a dataset by variable ranges or individual rows. This enables the user to run the different components on different subsets of the dataset directly on the app.

  • DataSlicer, a callable class which creates an inline DataSlicer
  • DataSlicerModal, a callable class which creates a modal version of the DataSlicer; adds a hovering button on the right side of the screen, showing the current filter status, which when clicked opens a modal with the DataSlicer

Example​

from pandas import DataFrame
import numpy as np

from dara.core import ConfigurationBuilder, py_component, DataVariable
from dara.components import Table, Stack, DataSlicer, DataSlicerModal

config = ConfigurationBuilder()


data = DataFrame(np.random.randint(0, 100, size=(100, 4)), columns=list('ABCD'))


@py_component
def display_dataframe(data: DataFrame):
    return Table(data=DataVariable(data), columns=list('ABCD'))


# Multi-page setup
slicer = DataSlicer(data)
filtered_data = slicer.get_output()

config.add_page('Slicer', slicer())
config.add_page('Filtered data usage', display_dataframe(filtered_data))


# Single-page setup
slicer_modal = DataSlicerModal(data)
filtered_modal_data = slicer_modal.get_output()

config.add_page('Page with Slicer', Stack(display_dataframe(filtered_modal_data), slicer_modal()))