hvplot.ui.explorer#
- hvplot.ui.explorer(data, **kwargs)[source]#
Explore your data and design your plot via an interactive user interface.
This function returns an interactive Panel component that enable you to quickly change the settings of your plot via widgets.
Reference: https://hvplot.holoviz.org/user_guide/Explorer.html
- Parameters:
- datapandas.DataFrame | xarray.DataArray | xarray.Dataset
Data structure to explore.
- **kwargsoptional
Arguments that data.hvplot() would also accept like kind=’bar’.
- Returns:
- hvplotExplorer
Panel component to explore the data and design your plot. See
hvplot.ui.hvplotExplorer
for details.
Examples
import hvplot.pandas import pandas as pd df = pd.DataFrame({"x": [1, 2, 3], "y": [1, 4, 9]}) hvplot.explorer(df)
You can also specify initial values
hvplot.explorer(df, kind='bar', x='x')