A component to display Pandas DataFrames.

Fields

NameTypeDescriptionOptions
DataTextMust be a state reference to a Pandas dataframe or PyArrow table. Alternatively, a URL for an Arrow IPC file.
    Show indexBooleanShows the dataframe’s index. If an Arrow table is used, shows the zero-based integer index.
    1. Yes
    2. No
    Enable searchBoolean
    1. Yes
    2. No
    Enable adding a recordBoolean
    1. Yes
    2. No
    Enable updating a recordBoolean
    1. Yes
    2. No
    Enable downloadBooleanAllows the user to download the data as CSV.
    1. Yes
    2. No
    ActionsKey-ValueDefine rows actions
      Use MarkdownBooleanIf active, the output will be sanitized; unsafe elements will be removed.
      1. Yes
      2. No
      Display row countNumberSpecifies how many rows to show simultaneously.
        Wrap textBooleanNot wrapping text allows for an uniform grid, but may be inconvenient if your data contains longer text fields.
        1. Yes
        2. No
        Primary textColor
          Secondary textColor
            AccentColor
              SeparatorColor
                BackgroundColor
                  Font styleText
                  1. normal
                  2. monospace
                  Custom CSS classesTextCSS classes, separated by spaces. You can define classes in custom stylesheets.

                    Events

                    Low code usage

                    This component can be declared directly in Python, using backend-driven UI.

                    ui.DataFrame(content={
                            "dataframe": "", # str 
                            "showIndex": "yes", # str [yes, no]
                            "enableSearch": "no", # str [yes, no]
                            "enableRecordAdd": "no", # str [yes, no]
                            "enableRecordUpdate": "no", # str [yes, no]
                            "enableDownload": "no", # str [yes, no]
                            "actions": {}, # Union[Dict, str] 
                            "useMarkdown": "no", # str [yes, no]
                            "displayRowCount": 0.0, # Union[float, str] 
                            "wrapText": "no", # str [yes, no]
                            "primaryTextColor": "", # str 
                            "secondaryTextColor": "", # str 
                            "accentColor": "", # str 
                            "separatorColor": "", # str 
                            "dataframeBackgroundColor": "", # str 
                            "fontStyle": "normal", # str [normal, monospace]
                            "cssClasses": "", # str 
                        },
                        handlers={
                            "wf-dataframe-add": handle_event,
                            "wf-dataframe-update": handle_event,
                            "wf-dataframe-action": handle_event,
                        }
                    )
                    

                    A function, in this example handle_event, should be implemented in your code to handle events.

                    def handle_event(state, payload, context, ui):
                      pass
                    

                    Reference

                    Was this page helpful?