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.

Conditional table formatting throws React error (Objects are not valid as a React child) #83

Description

@ggiesa

I've been attempting to apply conditional coloring to a table using the method implemented in @chriddyp 's example in #11, but I'm getting a React error and an 'error loading layout' message in the browser. No errors from the flask server though. I'm getting the same thing from the example code and from my own code. Is there a different way to apply conditional formatting now, or is this a bug?

The code in question:

import dash
import dash_core_components as dcc
import dash_html_components as html
import dash_table_experiments as dt
import pandas as pd
import numpy as np
df = pd.DataFrame(np.random.randn(50, 4), columns=list('ABCD'))
COLORS = [
{
'background': '#fef0d9',
'text': 'rgb(30, 30, 30)'
},
{
'background': '#fdcc8a',
'text': 'rgb(30, 30, 30)'
},
{
'background': '#fc8d59',
'text': 'rgb(30, 30, 30)'
},
{
'background': '#d7301f',
'text': 'rgb(30, 30, 30)'
},
]
def is_numeric(value):
try:
float(value)
return True
except ValueError:
return False
def cell_style(value, min_value, max_value):
style = {}
if is_numeric(value):
relative_value = (value - min_value) / (max_value - min_value)
if relative_value <= 0.25:
style = {
'backgroundColor': COLORS[0]['background'],
'color': COLORS[0]['text']
}
elif relative_value <= 0.5:
style = {
'backgroundColor': COLORS[1]['background'],
'color': COLORS[1]['text']
}
elif relative_value <= 0.75:
style = {
'backgroundColor': COLORS[2]['background'],
'color': COLORS[2]['text']
}
elif relative_value <= 1:
style = {
'backgroundColor': COLORS[3]['background'],
'color': COLORS[3]['text']
}
return style
def ConditionalTable(dataframe):
max_value = df.max(numeric_only=True).max()
min_value = df.min(numeric_only=True).max()
rows = []
for i in range(len(dataframe)):
row = {}
for col in dataframe.columns:
value = dataframe.iloc[i][col]
style = cell_style(value, min_value, max_value)
row[col] = html.Div(
value,
style=dict({
'height': '100%'
}, **style)
)
rows.append(row)
return rows
app = dash.Dash()
app.scripts.config.serve_locally = True
app.css.config.serve_locally = True
app.layout = html.Div([
dt.DataTable(
rows=ConditionalTable(df),
row_selectable=True,
filterable=True,
sortable=True,
selected_row_indices=[],
id='datatable',
)
], className='container')
if __name__ == '__main__':
app.run_server(debug=True)

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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.

      Conditional table formatting throws React error (Objects are not valid as a React child) #83

      Description

      @ggiesa

      I've been attempting to apply conditional coloring to a table using the method implemented in @chriddyp 's example in #11, but I'm getting a React error and an 'error loading layout' message in the browser. No errors from the flask server though. I'm getting the same thing from the example code and from my own code. Is there a different way to apply conditional formatting now, or is this a bug?

      The code in question:

      import dash
      import dash_core_components as dcc
      import dash_html_components as html
      import dash_table_experiments as dt
      import pandas as pd
      import numpy as np
      df = pd.DataFrame(np.random.randn(50, 4), columns=list('ABCD'))
      COLORS = [
      {
      'background': '#fef0d9',
      'text': 'rgb(30, 30, 30)'
      },
      {
      'background': '#fdcc8a',
      'text': 'rgb(30, 30, 30)'
      },
      {
      'background': '#fc8d59',
      'text': 'rgb(30, 30, 30)'
      },
      {
      'background': '#d7301f',
      'text': 'rgb(30, 30, 30)'
      },
      ]
      def is_numeric(value):
      try:
      float(value)
      return True
      except ValueError:
      return False
      def cell_style(value, min_value, max_value):
      style = {}
      if is_numeric(value):
      relative_value = (value - min_value) / (max_value - min_value)
      if relative_value <= 0.25:
      style = {
      'backgroundColor': COLORS[0]['background'],
      'color': COLORS[0]['text']
      }
      elif relative_value <= 0.5:
      style = {
      'backgroundColor': COLORS[1]['background'],
      'color': COLORS[1]['text']
      }
      elif relative_value <= 0.75:
      style = {
      'backgroundColor': COLORS[2]['background'],
      'color': COLORS[2]['text']
      }
      elif relative_value <= 1:
      style = {
      'backgroundColor': COLORS[3]['background'],
      'color': COLORS[3]['text']
      }
      return style
      def ConditionalTable(dataframe):
      max_value = df.max(numeric_only=True).max()
      min_value = df.min(numeric_only=True).max()
      rows = []
      for i in range(len(dataframe)):
      row = {}
      for col in dataframe.columns:
      value = dataframe.iloc[i][col]
      style = cell_style(value, min_value, max_value)
      row[col] = html.Div(
      value,
      style=dict({
      'height': '100%'
      }, **style)
      )
      rows.append(row)
      return rows
      app = dash.Dash()
      app.scripts.config.serve_locally = True
      app.css.config.serve_locally = True
      app.layout = html.Div([
      dt.DataTable(
      rows=ConditionalTable(df),
      row_selectable=True,
      filterable=True,
      sortable=True,
      selected_row_indices=[],
      id='datatable',
      )
      ], className='container')
      if __name__ == '__main__':
      app.run_server(debug=True)
      

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          No branches or pull requests

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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.

          Conditional table formatting throws React error (Objects are not valid as a React child) #83

          Description

          @ggiesa

          I've been attempting to apply conditional coloring to a table using the method implemented in @chriddyp 's example in #11, but I'm getting a React error and an 'error loading layout' message in the browser. No errors from the flask server though. I'm getting the same thing from the example code and from my own code. Is there a different way to apply conditional formatting now, or is this a bug?

          The code in question:

          import dash
          import dash_core_components as dcc
          import dash_html_components as html
          import dash_table_experiments as dt
          import pandas as pd
          import numpy as np
          df = pd.DataFrame(np.random.randn(50, 4), columns=list('ABCD'))
          COLORS = [
          {
          'background': '#fef0d9',
          'text': 'rgb(30, 30, 30)'
          },
          {
          'background': '#fdcc8a',
          'text': 'rgb(30, 30, 30)'
          },
          {
          'background': '#fc8d59',
          'text': 'rgb(30, 30, 30)'
          },
          {
          'background': '#d7301f',
          'text': 'rgb(30, 30, 30)'
          },
          ]
          def is_numeric(value):
          try:
          float(value)
          return True
          except ValueError:
          return False
          def cell_style(value, min_value, max_value):
          style = {}
          if is_numeric(value):
          relative_value = (value - min_value) / (max_value - min_value)
          if relative_value <= 0.25:
          style = {
          'backgroundColor': COLORS[0]['background'],
          'color': COLORS[0]['text']
          }
          elif relative_value <= 0.5:
          style = {
          'backgroundColor': COLORS[1]['background'],
          'color': COLORS[1]['text']
          }
          elif relative_value <= 0.75:
          style = {
          'backgroundColor': COLORS[2]['background'],
          'color': COLORS[2]['text']
          }
          elif relative_value <= 1:
          style = {
          'backgroundColor': COLORS[3]['background'],
          'color': COLORS[3]['text']
          }
          return style
          def ConditionalTable(dataframe):
          max_value = df.max(numeric_only=True).max()
          min_value = df.min(numeric_only=True).max()
          rows = []
          for i in range(len(dataframe)):
          row = {}
          for col in dataframe.columns:
          value = dataframe.iloc[i][col]
          style = cell_style(value, min_value, max_value)
          row[col] = html.Div(
          value,
          style=dict({
          'height': '100%'
          }, **style)
          )
          rows.append(row)
          return rows
          app = dash.Dash()
          app.scripts.config.serve_locally = True
          app.css.config.serve_locally = True
          app.layout = html.Div([
          dt.DataTable(
          rows=ConditionalTable(df),
          row_selectable=True,
          filterable=True,
          sortable=True,
          selected_row_indices=[],
          id='datatable',
          )
          ], className='container')
          if __name__ == '__main__':
          app.run_server(debug=True)
          

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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.

              Conditional table formatting throws React error (Objects are not valid as a React child) #83

              Description

              @ggiesa

              I've been attempting to apply conditional coloring to a table using the method implemented in @chriddyp 's example in #11, but I'm getting a React error and an 'error loading layout' message in the browser. No errors from the flask server though. I'm getting the same thing from the example code and from my own code. Is there a different way to apply conditional formatting now, or is this a bug?

              The code in question:

              import dash
              import dash_core_components as dcc
              import dash_html_components as html
              import dash_table_experiments as dt
              import pandas as pd
              import numpy as np
              df = pd.DataFrame(np.random.randn(50, 4), columns=list('ABCD'))
              COLORS = [
              {
              'background': '#fef0d9',
              'text': 'rgb(30, 30, 30)'
              },
              {
              'background': '#fdcc8a',
              'text': 'rgb(30, 30, 30)'
              },
              {
              'background': '#fc8d59',
              'text': 'rgb(30, 30, 30)'
              },
              {
              'background': '#d7301f',
              'text': 'rgb(30, 30, 30)'
              },
              ]
              def is_numeric(value):
              try:
              float(value)
              return True
              except ValueError:
              return False
              def cell_style(value, min_value, max_value):
              style = {}
              if is_numeric(value):
              relative_value = (value - min_value) / (max_value - min_value)
              if relative_value <= 0.25:
              style = {
              'backgroundColor': COLORS[0]['background'],
              'color': COLORS[0]['text']
              }
              elif relative_value <= 0.5:
              style = {
              'backgroundColor': COLORS[1]['background'],
              'color': COLORS[1]['text']
              }
              elif relative_value <= 0.75:
              style = {
              'backgroundColor': COLORS[2]['background'],
              'color': COLORS[2]['text']
              }
              elif relative_value <= 1:
              style = {
              'backgroundColor': COLORS[3]['background'],
              'color': COLORS[3]['text']
              }
              return style
              def ConditionalTable(dataframe):
              max_value = df.max(numeric_only=True).max()
              min_value = df.min(numeric_only=True).max()
              rows = []
              for i in range(len(dataframe)):
              row = {}
              for col in dataframe.columns:
              value = dataframe.iloc[i][col]
              style = cell_style(value, min_value, max_value)
              row[col] = html.Div(
              value,
              style=dict({
              'height': '100%'
              }, **style)
              )
              rows.append(row)
              return rows
              app = dash.Dash()
              app.scripts.config.serve_locally = True
              app.css.config.serve_locally = True
              app.layout = html.Div([
              dt.DataTable(
              rows=ConditionalTable(df),
              row_selectable=True,
              filterable=True,
              sortable=True,
              selected_row_indices=[],
              id='datatable',
              )
              ], className='container')
              if __name__ == '__main__':
              app.run_server(debug=True)
              

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                  No branches or pull requests

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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.

                  Conditional table formatting throws React error (Objects are not valid as a React child) #83

                  Description

                  @ggiesa

                  I've been attempting to apply conditional coloring to a table using the method implemented in @chriddyp 's example in #11, but I'm getting a React error and an 'error loading layout' message in the browser. No errors from the flask server though. I'm getting the same thing from the example code and from my own code. Is there a different way to apply conditional formatting now, or is this a bug?

                  The code in question:

                  import dash
                  import dash_core_components as dcc
                  import dash_html_components as html
                  import dash_table_experiments as dt
                  import pandas as pd
                  import numpy as np
                  df = pd.DataFrame(np.random.randn(50, 4), columns=list('ABCD'))
                  COLORS = [
                  {
                  'background': '#fef0d9',
                  'text': 'rgb(30, 30, 30)'
                  },
                  {
                  'background': '#fdcc8a',
                  'text': 'rgb(30, 30, 30)'
                  },
                  {
                  'background': '#fc8d59',
                  'text': 'rgb(30, 30, 30)'
                  },
                  {
                  'background': '#d7301f',
                  'text': 'rgb(30, 30, 30)'
                  },
                  ]
                  def is_numeric(value):
                  try:
                  float(value)
                  return True
                  except ValueError:
                  return False
                  def cell_style(value, min_value, max_value):
                  style = {}
                  if is_numeric(value):
                  relative_value = (value - min_value) / (max_value - min_value)
                  if relative_value <= 0.25:
                  style = {
                  'backgroundColor': COLORS[0]['background'],
                  'color': COLORS[0]['text']
                  }
                  elif relative_value <= 0.5:
                  style = {
                  'backgroundColor': COLORS[1]['background'],
                  'color': COLORS[1]['text']
                  }
                  elif relative_value <= 0.75:
                  style = {
                  'backgroundColor': COLORS[2]['background'],
                  'color': COLORS[2]['text']
                  }
                  elif relative_value <= 1:
                  style = {
                  'backgroundColor': COLORS[3]['background'],
                  'color': COLORS[3]['text']
                  }
                  return style
                  def ConditionalTable(dataframe):
                  max_value = df.max(numeric_only=True).max()
                  min_value = df.min(numeric_only=True).max()
                  rows = []
                  for i in range(len(dataframe)):
                  row = {}
                  for col in dataframe.columns:
                  value = dataframe.iloc[i][col]
                  style = cell_style(value, min_value, max_value)
                  row[col] = html.Div(
                  value,
                  style=dict({
                  'height': '100%'
                  }, **style)
                  )
                  rows.append(row)
                  return rows
                  app = dash.Dash()
                  app.scripts.config.serve_locally = True
                  app.css.config.serve_locally = True
                  app.layout = html.Div([
                  dt.DataTable(
                  rows=ConditionalTable(df),
                  row_selectable=True,
                  filterable=True,
                  sortable=True,
                  selected_row_indices=[],
                  id='datatable',
                  )
                  ], className='container')
                  if __name__ == '__main__':
                  app.run_server(debug=True)
                  

                  Metadata

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                      None yet

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                      No branches or pull requests

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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.

                      Conditional table formatting throws React error (Objects are not valid as a React child) #83

                      Description

                      @ggiesa

                      I've been attempting to apply conditional coloring to a table using the method implemented in @chriddyp 's example in #11, but I'm getting a React error and an 'error loading layout' message in the browser. No errors from the flask server though. I'm getting the same thing from the example code and from my own code. Is there a different way to apply conditional formatting now, or is this a bug?

                      The code in question:

                      import dash
                      import dash_core_components as dcc
                      import dash_html_components as html
                      import dash_table_experiments as dt
                      import pandas as pd
                      import numpy as np
                      df = pd.DataFrame(np.random.randn(50, 4), columns=list('ABCD'))
                      COLORS = [
                      {
                      'background': '#fef0d9',
                      'text': 'rgb(30, 30, 30)'
                      },
                      {
                      'background': '#fdcc8a',
                      'text': 'rgb(30, 30, 30)'
                      },
                      {
                      'background': '#fc8d59',
                      'text': 'rgb(30, 30, 30)'
                      },
                      {
                      'background': '#d7301f',
                      'text': 'rgb(30, 30, 30)'
                      },
                      ]
                      def is_numeric(value):
                      try:
                      float(value)
                      return True
                      except ValueError:
                      return False
                      def cell_style(value, min_value, max_value):
                      style = {}
                      if is_numeric(value):
                      relative_value = (value - min_value) / (max_value - min_value)
                      if relative_value <= 0.25:
                      style = {
                      'backgroundColor': COLORS[0]['background'],
                      'color': COLORS[0]['text']
                      }
                      elif relative_value <= 0.5:
                      style = {
                      'backgroundColor': COLORS[1]['background'],
                      'color': COLORS[1]['text']
                      }
                      elif relative_value <= 0.75:
                      style = {
                      'backgroundColor': COLORS[2]['background'],
                      'color': COLORS[2]['text']
                      }
                      elif relative_value <= 1:
                      style = {
                      'backgroundColor': COLORS[3]['background'],
                      'color': COLORS[3]['text']
                      }
                      return style
                      def ConditionalTable(dataframe):
                      max_value = df.max(numeric_only=True).max()
                      min_value = df.min(numeric_only=True).max()
                      rows = []
                      for i in range(len(dataframe)):
                      row = {}
                      for col in dataframe.columns:
                      value = dataframe.iloc[i][col]
                      style = cell_style(value, min_value, max_value)
                      row[col] = html.Div(
                      value,
                      style=dict({
                      'height': '100%'
                      }, **style)
                      )
                      rows.append(row)
                      return rows
                      app = dash.Dash()
                      app.scripts.config.serve_locally = True
                      app.css.config.serve_locally = True
                      app.layout = html.Div([
                      dt.DataTable(
                      rows=ConditionalTable(df),
                      row_selectable=True,
                      filterable=True,
                      sortable=True,
                      selected_row_indices=[],
                      id='datatable',
                      )
                      ], className='container')
                      if __name__ == '__main__':
                      app.run_server(debug=True)
                      

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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('^' + ".*" + '
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                          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.

                          Conditional table formatting throws React error (Objects are not valid as a React child) #83

                          Description

                          @ggiesa

                          I've been attempting to apply conditional coloring to a table using the method implemented in @chriddyp 's example in #11, but I'm getting a React error and an 'error loading layout' message in the browser. No errors from the flask server though. I'm getting the same thing from the example code and from my own code. Is there a different way to apply conditional formatting now, or is this a bug?

                          The code in question:

                          import dash
                          import dash_core_components as dcc
                          import dash_html_components as html
                          import dash_table_experiments as dt
                          import pandas as pd
                          import numpy as np
                          df = pd.DataFrame(np.random.randn(50, 4), columns=list('ABCD'))
                          COLORS = [
                          {
                          'background': '#fef0d9',
                          'text': 'rgb(30, 30, 30)'
                          },
                          {
                          'background': '#fdcc8a',
                          'text': 'rgb(30, 30, 30)'
                          },
                          {
                          'background': '#fc8d59',
                          'text': 'rgb(30, 30, 30)'
                          },
                          {
                          'background': '#d7301f',
                          'text': 'rgb(30, 30, 30)'
                          },
                          ]
                          def is_numeric(value):
                          try:
                          float(value)
                          return True
                          except ValueError:
                          return False
                          def cell_style(value, min_value, max_value):
                          style = {}
                          if is_numeric(value):
                          relative_value = (value - min_value) / (max_value - min_value)
                          if relative_value <= 0.25:
                          style = {
                          'backgroundColor': COLORS[0]['background'],
                          'color': COLORS[0]['text']
                          }
                          elif relative_value <= 0.5:
                          style = {
                          'backgroundColor': COLORS[1]['background'],
                          'color': COLORS[1]['text']
                          }
                          elif relative_value <= 0.75:
                          style = {
                          'backgroundColor': COLORS[2]['background'],
                          'color': COLORS[2]['text']
                          }
                          elif relative_value <= 1:
                          style = {
                          'backgroundColor': COLORS[3]['background'],
                          'color': COLORS[3]['text']
                          }
                          return style
                          def ConditionalTable(dataframe):
                          max_value = df.max(numeric_only=True).max()
                          min_value = df.min(numeric_only=True).max()
                          rows = []
                          for i in range(len(dataframe)):
                          row = {}
                          for col in dataframe.columns:
                          value = dataframe.iloc[i][col]
                          style = cell_style(value, min_value, max_value)
                          row[col] = html.Div(
                          value,
                          style=dict({
                          'height': '100%'
                          }, **style)
                          )
                          rows.append(row)
                          return rows
                          app = dash.Dash()
                          app.scripts.config.serve_locally = True
                          app.css.config.serve_locally = True
                          app.layout = html.Div([
                          dt.DataTable(
                          rows=ConditionalTable(df),
                          row_selectable=True,
                          filterable=True,
                          sortable=True,
                          selected_row_indices=[],
                          id='datatable',
                          )
                          ], className='container')
                          if __name__ == '__main__':
                          app.run_server(debug=True)
                          

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                              , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
                              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.

                              Conditional table formatting throws React error (Objects are not valid as a React child) #83

                              Description

                              @ggiesa

                              I've been attempting to apply conditional coloring to a table using the method implemented in @chriddyp 's example in #11, but I'm getting a React error and an 'error loading layout' message in the browser. No errors from the flask server though. I'm getting the same thing from the example code and from my own code. Is there a different way to apply conditional formatting now, or is this a bug?

                              The code in question:

                              import dash
                              import dash_core_components as dcc
                              import dash_html_components as html
                              import dash_table_experiments as dt
                              import pandas as pd
                              import numpy as np
                              df = pd.DataFrame(np.random.randn(50, 4), columns=list('ABCD'))
                              COLORS = [
                              {
                              'background': '#fef0d9',
                              'text': 'rgb(30, 30, 30)'
                              },
                              {
                              'background': '#fdcc8a',
                              'text': 'rgb(30, 30, 30)'
                              },
                              {
                              'background': '#fc8d59',
                              'text': 'rgb(30, 30, 30)'
                              },
                              {
                              'background': '#d7301f',
                              'text': 'rgb(30, 30, 30)'
                              },
                              ]
                              def is_numeric(value):
                              try:
                              float(value)
                              return True
                              except ValueError:
                              return False
                              def cell_style(value, min_value, max_value):
                              style = {}
                              if is_numeric(value):
                              relative_value = (value - min_value) / (max_value - min_value)
                              if relative_value <= 0.25:
                              style = {
                              'backgroundColor': COLORS[0]['background'],
                              'color': COLORS[0]['text']
                              }
                              elif relative_value <= 0.5:
                              style = {
                              'backgroundColor': COLORS[1]['background'],
                              'color': COLORS[1]['text']
                              }
                              elif relative_value <= 0.75:
                              style = {
                              'backgroundColor': COLORS[2]['background'],
                              'color': COLORS[2]['text']
                              }
                              elif relative_value <= 1:
                              style = {
                              'backgroundColor': COLORS[3]['background'],
                              'color': COLORS[3]['text']
                              }
                              return style
                              def ConditionalTable(dataframe):
                              max_value = df.max(numeric_only=True).max()
                              min_value = df.min(numeric_only=True).max()
                              rows = []
                              for i in range(len(dataframe)):
                              row = {}
                              for col in dataframe.columns:
                              value = dataframe.iloc[i][col]
                              style = cell_style(value, min_value, max_value)
                              row[col] = html.Div(
                              value,
                              style=dict({
                              'height': '100%'
                              }, **style)
                              )
                              rows.append(row)
                              return rows
                              app = dash.Dash()
                              app.scripts.config.serve_locally = True
                              app.css.config.serve_locally = True
                              app.layout = html.Div([
                              dt.DataTable(
                              rows=ConditionalTable(df),
                              row_selectable=True,
                              filterable=True,
                              sortable=True,
                              selected_row_indices=[],
                              id='datatable',
                              )
                              ], className='container')
                              if __name__ == '__main__':
                              app.run_server(debug=True)
                              

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