Panel Widgets

Range slider

panel_widgets.range_slider(x, width=400, height=20, data_points=100, step_size=1, step_size_type=<class 'int'>, **params)

Widget in the navbar of the cuxfilter dashboard.

Type: Range Slider

Parameters
x: str

column name from gpu dataframe

width: int, default 400
height: int, default 20
data_points: int, default 100
step_size: int, default 1
step_size_type: {int, float}, default int
**params:

additional arguments to be passed to the function. See panel documentation for more info

Example

import cudf
from cuxfilter import charts, DataFrame

cux_df = DataFrame.from_dataframe(cudf.DataFrame({'key': [0, 1, 2, 3, 4], 'val':[float(i + 10) for i in range(5)]}))
range_slider = charts.panel_widgets.range_slider('key')

d = cux_df.dashboard([range_slider])
#view the individual range_slider chart part of the dashboard d
range_slider.view()

Float slider

panel_widgets.float_slider(x, width=400, height=40, data_points=100, step_size=None, **params)

Widget in the navbar of the cuxfilter dashboard.

Type: Float Slider

Parameters
x: str

column name from gpu dataframe

width: int, default 400
height: int, default 40
data_points: int, default 100
step_size: float, default float((max - min)/datapoints)
**params:

additional arguments to be passed to the function. See panel documentation for more info

Example

import cudf
from cuxfilter import charts, DataFrame

cux_df = DataFrame.from_dataframe(cudf.DataFrame({'key': [0, 0.5, 1, 1.5, 2], 'val':[float(i + 10) for i in range(5)]}))
float_slider = charts.panel_widgets.float_slider('key', step_size=0.5)

d = cux_df.dashboard([float_slider])
#view the individual float_slider chart part of the dashboard d
float_slider.view()

Int slider

panel_widgets.int_slider(x, width=400, height=40, data_points=100, step_size=1, **params)

Widget in the navbar of the cuxfilter dashboard.

Type: Int Slider

Parameters
x: str

column name from gpu dataframe

width: int, default 400
height: int, default 40
data_points: int, default 100
step_size: int, default 1
**params:

additional arguments to be passed to the function. See panel documentation for more info

Example

import cudf
from cuxfilter import charts, DataFrame

cux_df = DataFrame.from_dataframe(cudf.DataFrame({'key': [0, 1, 2, 3, 4], 'val':[float(i + 10) for i in range(5)]}))
int_slider = charts.panel_widgets.int_slider('val')

d = cux_df.dashboard([int_slider])
#view the individual int_slider chart part of the dashboard d
int_slider.view()

Multiselect

panel_widgets.multi_select(x, width=400, height=200, **params)

Widget in the navbar of the cuxfilter dashboard.

Type: multi_select

Parameters
x: str

column name from gpu dataframe

width: int, default 400
height: int, default 200
data_points: int, default number of unique values
**params:

additional arguments to be passed to the function. See panel documentation for more info

Example

import cudf
from cuxfilter import charts, DataFrame

cux_df = DataFrame.from_dataframe(cudf.DataFrame({'key': [0, 1, 2, 3, 4], 'val':[float(i + 10) for i in range(5)]}))
multi_select = charts.panel_widgets.multi_select('val')

d = cux_df.dashboard([multi_select])
#view the individual multi_select chart part of the dashboard d
multi_select.view()