![]() ![]() Selection ( list) The currently selected rows. Row_height ( int): The height of each table row. The columns on either side will remain in their previous order. To reorder a column, click and drag a table’s header to the desired location in the table. Reorderable ( boolean): Allows the reordering of a table’s columns. If set the first N rows will be frozen which prevents them from scrolling out of frame, if set to a negative value last N rows will be frozen. If set the first N columns will be frozen which prevents them from scrolling out of frame.įrozen_rows: (int): Integer indicating the number of rows to freeze. ![]() Hierarchical (boolean, default=False): Whether to render multi-indexes as hierarchical index (note hierarchical must be enabled during instantiation and cannot be modified later)įit_columns ( boolean, default=True): Whether columns should expand to the available width.įormatters ( dict): A dictionary mapping from column name to a bokeh CellFormatter instance, which overrides the default.įrozen_columns (int): Integer indicating the number of columns to freeze. This results in no horizontal scrollbar showing up, but dataĬan get unreadable if there is not enough space available.ĭo not automatically compute column widths.Įditors ( dict): A dictionary mapping from column name to a bokeh CellEditor instance, which overrides the default. The columns equally (equivalent to fit_columns=True). Horizontal scrollbar showing up, but data can get unreadableĪdjust the viewport size after computing columns widths basedįit columns into available space dividing the table width across If separate aggregators for different columns are required the dictionary may be nested as Īuto_edit ( boolean): Whether clicking on a table cell automatically starts edit mode.Īutosize_mode (str): Describes the column autosizing mode with one of the following options:Ĭompute columns widths based on cell contents but ensure the Core #Īggregators ( dict): A dictionary mapping from index name to an aggregator to be used for hierarchical multi-indexes (valid aggregators include ‘min’, ‘max’, ‘mean’ and ‘sum’). Parameters: #įor details on other options for customizing the component see the layout and styling how-to guides. Alternatively, learn how to set up callbacks and (JS-)links between parameters or how to use them as part of declarative UIs with Param. Also note that the DataFrame widget will eventually be replaced with the Tabulator widget, and so new code should be written to use Tabulator instead.ĭiscover more on using widgets to add interactivity to your applications in the how-to guides on interactivity. Note that editing is not possible for multi-indexed DataFrames, in which case you will need to reduce the DataFrame to a single index. The DataFrame widget allows displaying and editing a pandas DataFrame. Import pandas as pd import panel as pn pn. Get Started migrating from Streamlit to Panel.Defer Long Running Tasks to Improve the User Experience.Generate UIs from declared parameters (Declarative API).Explicitly link parameters (Callbacks API). ![]()
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