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 ---
(data, **kwargs)
| 53 | |
| 54 | |
| 55 | def explorer(data, **kwargs): |
| 56 | """Explore your data and design your plot via an interactive user interface. |
| 57 | |
| 58 | This function returns an interactive Panel component that enable you to quickly change the |
| 59 | settings of your plot via widgets. |
| 60 | |
| 61 | Reference: https://hvplot.holoviz.org/user_guide/Explorer.html |
| 62 | |
| 63 | Parameters |
| 64 | ---------- |
| 65 | data : pandas.DataFrame | xarray.DataArray | xarray.Dataset |
| 66 | Data structure to explore. |
| 67 | **kwargs : optional |
| 68 | Arguments that `data.hvplot()` would also accept like `kind='bar'`. |
| 69 | |
| 70 | Returns |
| 71 | ------- |
| 72 | hvplotExplorer |
| 73 | Panel component to explore the data and design your plot. See |
| 74 | :class:`hvplot.ui.hvPlotExplorer` for details. |
| 75 | |
| 76 | Examples |
| 77 | -------- |
| 78 | |
| 79 | .. code-block:: |
| 80 | |
| 81 | import hvplot.pandas |
| 82 | import pandas as pd |
| 83 | df = pd.DataFrame({"x": [1, 2, 3], "y": [1, 4, 9]}) |
| 84 | hvplot.explorer(df) |
| 85 | |
| 86 | You can also specify initial values |
| 87 | |
| 88 | .. code-block:: |
| 89 | |
| 90 | hvplot.explorer(df, kind='bar', x='x') |
| 91 | """ |
| 92 | return hvPlotExplorer.from_data(data, **kwargs) |
| 93 | |
| 94 | |
| 95 | def _create_param_pane(inst, widgets_kwargs=None, parameters=None): |
nothing calls this directly
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