This repository was archived by the owner on Aug 29, 2025. It is now read-only.
This repository was archived by the owner on Aug 29, 2025. It is now read-only.

updating a datatable with editable=True #386

Description

@speedboattoyota

I'm trying to update a datatable from a dropdown menu like the 2nd example here:
https://dash.plot.ly/dash-core-components/store

It works fine if the editable property isn't set. However if I set this to true and then edit the table it will no longer update when the user makes a selection from the drop down menu. Is there something wrong with my code?

I've debugged the callback function and can confirm it still fires AFTER a user has edited the table but the table will no longer update. It remains frozen with the edited values unless the page is refreshed in the browser.

import collections
import dash
import pandas as pd
from dash.dependencies import Output, Input
from dash.exceptions import PreventUpdate
import dash_html_components as html
import dash_core_components as dcc
import dash_table
app = dash.Dash(__name__)
df = pd.read_csv(
'https://raw.githubusercontent.com/'
'plotly/datasets/master/gapminderDataFiveYear.csv')
countries = set(df['country'])
app.layout = html.Div([
dcc.Store(id='memory-output'),
dcc.Dropdown(id='memory-countries', options=[
{'value': x, 'label': x} for x in countries
], multi=True, value=['Canada', 'United States']),
dcc.Dropdown(id='memory-field', options=[
{'value': 'lifeExp', 'label': 'Life expectancy'},
{'value': 'gdpPercap', 'label': 'GDP per capita'},
], value='lifeExp'),
html.Div([
dcc.Graph(id='memory-graph'),
dash_table.DataTable(
id='memory-table',
columns=[{'name': i, 'id': i} for i in df.columns],
**editable=True**
),
])
])
@app.callback(Output('memory-output', 'data'),
[Input('memory-countries', 'value')])
def filter_countries(countries_selected):
if not countries_selected:
# Return all the rows on initial load/no country selected.
return df.to_dict('rows')
filtered = df.query('country in @countries_selected')
return filtered.to_dict('rows')
@app.callback(Output('memory-table', 'data'),
[Input('memory-output', 'data')])
def on_data_set_table(data):
if data is None:
raise PreventUpdate
return data

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    , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
     blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
    }
    } catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
    })();
    (function(){
    try {
    var __m = "github.com";
    var __re = new RegExp('^' + "github\\.com" + '
    
    Skip to content
    This repository was archived by the owner on Aug 29, 2025. It is now read-only.
    This repository was archived by the owner on Aug 29, 2025. It is now read-only.

    updating a datatable with editable=True #386

    Description

    @speedboattoyota

    I'm trying to update a datatable from a dropdown menu like the 2nd example here:
    https://dash.plot.ly/dash-core-components/store

    It works fine if the editable property isn't set. However if I set this to true and then edit the table it will no longer update when the user makes a selection from the drop down menu. Is there something wrong with my code?

    I've debugged the callback function and can confirm it still fires AFTER a user has edited the table but the table will no longer update. It remains frozen with the edited values unless the page is refreshed in the browser.

    import collections
    import dash
    import pandas as pd
    from dash.dependencies import Output, Input
    from dash.exceptions import PreventUpdate
    import dash_html_components as html
    import dash_core_components as dcc
    import dash_table
    app = dash.Dash(__name__)
    df = pd.read_csv(
    'https://raw.githubusercontent.com/'
    'plotly/datasets/master/gapminderDataFiveYear.csv')
    countries = set(df['country'])
    app.layout = html.Div([
    dcc.Store(id='memory-output'),
    dcc.Dropdown(id='memory-countries', options=[
    {'value': x, 'label': x} for x in countries
    ], multi=True, value=['Canada', 'United States']),
    dcc.Dropdown(id='memory-field', options=[
    {'value': 'lifeExp', 'label': 'Life expectancy'},
    {'value': 'gdpPercap', 'label': 'GDP per capita'},
    ], value='lifeExp'),
    html.Div([
    dcc.Graph(id='memory-graph'),
    dash_table.DataTable(
    id='memory-table',
    columns=[{'name': i, 'id': i} for i in df.columns],
    **editable=True**
    ),
    ])
    ])
    @app.callback(Output('memory-output', 'data'),
    [Input('memory-countries', 'value')])
    def filter_countries(countries_selected):
    if not countries_selected:
    # Return all the rows on initial load/no country selected.
    return df.to_dict('rows')
    filtered = df.query('country in @countries_selected')
    return filtered.to_dict('rows')
    @app.callback(Output('memory-table', 'data'),
    [Input('memory-output', 'data')])
    def on_data_set_table(data):
    if data is None:
    raise PreventUpdate
    return data
    

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      , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
      Skip to content
      This repository was archived by the owner on Aug 29, 2025. It is now read-only.
      This repository was archived by the owner on Aug 29, 2025. It is now read-only.

      updating a datatable with editable=True #386

      Description

      @speedboattoyota

      I'm trying to update a datatable from a dropdown menu like the 2nd example here:
      https://dash.plot.ly/dash-core-components/store

      It works fine if the editable property isn't set. However if I set this to true and then edit the table it will no longer update when the user makes a selection from the drop down menu. Is there something wrong with my code?

      I've debugged the callback function and can confirm it still fires AFTER a user has edited the table but the table will no longer update. It remains frozen with the edited values unless the page is refreshed in the browser.

      import collections
      import dash
      import pandas as pd
      from dash.dependencies import Output, Input
      from dash.exceptions import PreventUpdate
      import dash_html_components as html
      import dash_core_components as dcc
      import dash_table
      app = dash.Dash(__name__)
      df = pd.read_csv(
      'https://raw.githubusercontent.com/'
      'plotly/datasets/master/gapminderDataFiveYear.csv')
      countries = set(df['country'])
      app.layout = html.Div([
      dcc.Store(id='memory-output'),
      dcc.Dropdown(id='memory-countries', options=[
      {'value': x, 'label': x} for x in countries
      ], multi=True, value=['Canada', 'United States']),
      dcc.Dropdown(id='memory-field', options=[
      {'value': 'lifeExp', 'label': 'Life expectancy'},
      {'value': 'gdpPercap', 'label': 'GDP per capita'},
      ], value='lifeExp'),
      html.Div([
      dcc.Graph(id='memory-graph'),
      dash_table.DataTable(
      id='memory-table',
      columns=[{'name': i, 'id': i} for i in df.columns],
      **editable=True**
      ),
      ])
      ])
      @app.callback(Output('memory-output', 'data'),
      [Input('memory-countries', 'value')])
      def filter_countries(countries_selected):
      if not countries_selected:
      # Return all the rows on initial load/no country selected.
      return df.to_dict('rows')
      filtered = df.query('country in @countries_selected')
      return filtered.to_dict('rows')
      @app.callback(Output('memory-table', 'data'),
      [Input('memory-output', 'data')])
      def on_data_set_table(data):
      if data is None:
      raise PreventUpdate
      return data
      

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        , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
        Skip to content
        This repository was archived by the owner on Aug 29, 2025. It is now read-only.
        This repository was archived by the owner on Aug 29, 2025. It is now read-only.

        updating a datatable with editable=True #386

        Description

        @speedboattoyota

        I'm trying to update a datatable from a dropdown menu like the 2nd example here:
        https://dash.plot.ly/dash-core-components/store

        It works fine if the editable property isn't set. However if I set this to true and then edit the table it will no longer update when the user makes a selection from the drop down menu. Is there something wrong with my code?

        I've debugged the callback function and can confirm it still fires AFTER a user has edited the table but the table will no longer update. It remains frozen with the edited values unless the page is refreshed in the browser.

        import collections
        import dash
        import pandas as pd
        from dash.dependencies import Output, Input
        from dash.exceptions import PreventUpdate
        import dash_html_components as html
        import dash_core_components as dcc
        import dash_table
        app = dash.Dash(__name__)
        df = pd.read_csv(
        'https://raw.githubusercontent.com/'
        'plotly/datasets/master/gapminderDataFiveYear.csv')
        countries = set(df['country'])
        app.layout = html.Div([
        dcc.Store(id='memory-output'),
        dcc.Dropdown(id='memory-countries', options=[
        {'value': x, 'label': x} for x in countries
        ], multi=True, value=['Canada', 'United States']),
        dcc.Dropdown(id='memory-field', options=[
        {'value': 'lifeExp', 'label': 'Life expectancy'},
        {'value': 'gdpPercap', 'label': 'GDP per capita'},
        ], value='lifeExp'),
        html.Div([
        dcc.Graph(id='memory-graph'),
        dash_table.DataTable(
        id='memory-table',
        columns=[{'name': i, 'id': i} for i in df.columns],
        **editable=True**
        ),
        ])
        ])
        @app.callback(Output('memory-output', 'data'),
        [Input('memory-countries', 'value')])
        def filter_countries(countries_selected):
        if not countries_selected:
        # Return all the rows on initial load/no country selected.
        return df.to_dict('rows')
        filtered = df.query('country in @countries_selected')
        return filtered.to_dict('rows')
        @app.callback(Output('memory-table', 'data'),
        [Input('memory-output', 'data')])
        def on_data_set_table(data):
        if data is None:
        raise PreventUpdate
        return data
        

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          , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
          Skip to content
          This repository was archived by the owner on Aug 29, 2025. It is now read-only.
          This repository was archived by the owner on Aug 29, 2025. It is now read-only.

          updating a datatable with editable=True #386

          Description

          @speedboattoyota

          I'm trying to update a datatable from a dropdown menu like the 2nd example here:
          https://dash.plot.ly/dash-core-components/store

          It works fine if the editable property isn't set. However if I set this to true and then edit the table it will no longer update when the user makes a selection from the drop down menu. Is there something wrong with my code?

          I've debugged the callback function and can confirm it still fires AFTER a user has edited the table but the table will no longer update. It remains frozen with the edited values unless the page is refreshed in the browser.

          import collections
          import dash
          import pandas as pd
          from dash.dependencies import Output, Input
          from dash.exceptions import PreventUpdate
          import dash_html_components as html
          import dash_core_components as dcc
          import dash_table
          app = dash.Dash(__name__)
          df = pd.read_csv(
          'https://raw.githubusercontent.com/'
          'plotly/datasets/master/gapminderDataFiveYear.csv')
          countries = set(df['country'])
          app.layout = html.Div([
          dcc.Store(id='memory-output'),
          dcc.Dropdown(id='memory-countries', options=[
          {'value': x, 'label': x} for x in countries
          ], multi=True, value=['Canada', 'United States']),
          dcc.Dropdown(id='memory-field', options=[
          {'value': 'lifeExp', 'label': 'Life expectancy'},
          {'value': 'gdpPercap', 'label': 'GDP per capita'},
          ], value='lifeExp'),
          html.Div([
          dcc.Graph(id='memory-graph'),
          dash_table.DataTable(
          id='memory-table',
          columns=[{'name': i, 'id': i} for i in df.columns],
          **editable=True**
          ),
          ])
          ])
          @app.callback(Output('memory-output', 'data'),
          [Input('memory-countries', 'value')])
          def filter_countries(countries_selected):
          if not countries_selected:
          # Return all the rows on initial load/no country selected.
          return df.to_dict('rows')
          filtered = df.query('country in @countries_selected')
          return filtered.to_dict('rows')
          @app.callback(Output('memory-table', 'data'),
          [Input('memory-output', 'data')])
          def on_data_set_table(data):
          if data is None:
          raise PreventUpdate
          return data
          

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            , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
            Skip to content
            This repository was archived by the owner on Aug 29, 2025. It is now read-only.
            This repository was archived by the owner on Aug 29, 2025. It is now read-only.

            updating a datatable with editable=True #386

            Description

            @speedboattoyota

            I'm trying to update a datatable from a dropdown menu like the 2nd example here:
            https://dash.plot.ly/dash-core-components/store

            It works fine if the editable property isn't set. However if I set this to true and then edit the table it will no longer update when the user makes a selection from the drop down menu. Is there something wrong with my code?

            I've debugged the callback function and can confirm it still fires AFTER a user has edited the table but the table will no longer update. It remains frozen with the edited values unless the page is refreshed in the browser.

            import collections
            import dash
            import pandas as pd
            from dash.dependencies import Output, Input
            from dash.exceptions import PreventUpdate
            import dash_html_components as html
            import dash_core_components as dcc
            import dash_table
            app = dash.Dash(__name__)
            df = pd.read_csv(
            'https://raw.githubusercontent.com/'
            'plotly/datasets/master/gapminderDataFiveYear.csv')
            countries = set(df['country'])
            app.layout = html.Div([
            dcc.Store(id='memory-output'),
            dcc.Dropdown(id='memory-countries', options=[
            {'value': x, 'label': x} for x in countries
            ], multi=True, value=['Canada', 'United States']),
            dcc.Dropdown(id='memory-field', options=[
            {'value': 'lifeExp', 'label': 'Life expectancy'},
            {'value': 'gdpPercap', 'label': 'GDP per capita'},
            ], value='lifeExp'),
            html.Div([
            dcc.Graph(id='memory-graph'),
            dash_table.DataTable(
            id='memory-table',
            columns=[{'name': i, 'id': i} for i in df.columns],
            **editable=True**
            ),
            ])
            ])
            @app.callback(Output('memory-output', 'data'),
            [Input('memory-countries', 'value')])
            def filter_countries(countries_selected):
            if not countries_selected:
            # Return all the rows on initial load/no country selected.
            return df.to_dict('rows')
            filtered = df.query('country in @countries_selected')
            return filtered.to_dict('rows')
            @app.callback(Output('memory-table', 'data'),
            [Input('memory-output', 'data')])
            def on_data_set_table(data):
            if data is None:
            raise PreventUpdate
            return data
            

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              No milestone

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              No branches or pull requests

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              , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
              Skip to content
              This repository was archived by the owner on Aug 29, 2025. It is now read-only.
              This repository was archived by the owner on Aug 29, 2025. It is now read-only.

              updating a datatable with editable=True #386

              Description

              @speedboattoyota

              I'm trying to update a datatable from a dropdown menu like the 2nd example here:
              https://dash.plot.ly/dash-core-components/store

              It works fine if the editable property isn't set. However if I set this to true and then edit the table it will no longer update when the user makes a selection from the drop down menu. Is there something wrong with my code?

              I've debugged the callback function and can confirm it still fires AFTER a user has edited the table but the table will no longer update. It remains frozen with the edited values unless the page is refreshed in the browser.

              import collections
              import dash
              import pandas as pd
              from dash.dependencies import Output, Input
              from dash.exceptions import PreventUpdate
              import dash_html_components as html
              import dash_core_components as dcc
              import dash_table
              app = dash.Dash(__name__)
              df = pd.read_csv(
              'https://raw.githubusercontent.com/'
              'plotly/datasets/master/gapminderDataFiveYear.csv')
              countries = set(df['country'])
              app.layout = html.Div([
              dcc.Store(id='memory-output'),
              dcc.Dropdown(id='memory-countries', options=[
              {'value': x, 'label': x} for x in countries
              ], multi=True, value=['Canada', 'United States']),
              dcc.Dropdown(id='memory-field', options=[
              {'value': 'lifeExp', 'label': 'Life expectancy'},
              {'value': 'gdpPercap', 'label': 'GDP per capita'},
              ], value='lifeExp'),
              html.Div([
              dcc.Graph(id='memory-graph'),
              dash_table.DataTable(
              id='memory-table',
              columns=[{'name': i, 'id': i} for i in df.columns],
              **editable=True**
              ),
              ])
              ])
              @app.callback(Output('memory-output', 'data'),
              [Input('memory-countries', 'value')])
              def filter_countries(countries_selected):
              if not countries_selected:
              # Return all the rows on initial load/no country selected.
              return df.to_dict('rows')
              filtered = df.query('country in @countries_selected')
              return filtered.to_dict('rows')
              @app.callback(Output('memory-table', 'data'),
              [Input('memory-output', 'data')])
              def on_data_set_table(data):
              if data is None:
              raise PreventUpdate
              return data
              

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                This repository was archived by the owner on Aug 29, 2025. It is now read-only.

                updating a datatable with editable=True #386

                Description

                @speedboattoyota

                I'm trying to update a datatable from a dropdown menu like the 2nd example here:
                https://dash.plot.ly/dash-core-components/store

                It works fine if the editable property isn't set. However if I set this to true and then edit the table it will no longer update when the user makes a selection from the drop down menu. Is there something wrong with my code?

                I've debugged the callback function and can confirm it still fires AFTER a user has edited the table but the table will no longer update. It remains frozen with the edited values unless the page is refreshed in the browser.

                import collections
                import dash
                import pandas as pd
                from dash.dependencies import Output, Input
                from dash.exceptions import PreventUpdate
                import dash_html_components as html
                import dash_core_components as dcc
                import dash_table
                app = dash.Dash(__name__)
                df = pd.read_csv(
                'https://raw.githubusercontent.com/'
                'plotly/datasets/master/gapminderDataFiveYear.csv')
                countries = set(df['country'])
                app.layout = html.Div([
                dcc.Store(id='memory-output'),
                dcc.Dropdown(id='memory-countries', options=[
                {'value': x, 'label': x} for x in countries
                ], multi=True, value=['Canada', 'United States']),
                dcc.Dropdown(id='memory-field', options=[
                {'value': 'lifeExp', 'label': 'Life expectancy'},
                {'value': 'gdpPercap', 'label': 'GDP per capita'},
                ], value='lifeExp'),
                html.Div([
                dcc.Graph(id='memory-graph'),
                dash_table.DataTable(
                id='memory-table',
                columns=[{'name': i, 'id': i} for i in df.columns],
                **editable=True**
                ),
                ])
                ])
                @app.callback(Output('memory-output', 'data'),
                [Input('memory-countries', 'value')])
                def filter_countries(countries_selected):
                if not countries_selected:
                # Return all the rows on initial load/no country selected.
                return df.to_dict('rows')
                filtered = df.query('country in @countries_selected')
                return filtered.to_dict('rows')
                @app.callback(Output('memory-table', 'data'),
                [Input('memory-output', 'data')])
                def on_data_set_table(data):
                if data is None:
                raise PreventUpdate
                return data
                

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