pythonpandas

pandas.style.apply .to_excel is throwing keyerror

I have this df that has three columns A, B, C and I want to color the cell of B if A and B are equal. I also want to export it to excel with the style.

data = [[10, 30, 30], [15, 20, 33], [14, 40, 36]]
df = pd.DataFrame(data, columns=['A', 'B', 'C'])

def highlight(df, color): 
    return np.where(df['A'] == df['B'], f"color: {color};", None)
df.style.apply(highlight, color='red', subset=['B']).to_excel(os.path.join(".\\data", 'highlighted_data.xlsx'), index=False)

But I get an error of this form:

---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
Cell In[4], line 7
      5 def highlight_max(df, color): 
      6     return np.where(df['A'] == df['B'], f"color: {color};", None)
----> 7 df.style.apply(highlight_max, color='red', subset=['A']).to_excel(os.path.join(".\\data", 'highlighted_data.xlsx'), index=False)
      8 # df
      9 # ------------   ------------
     11 def highlight_pred(df, output_dir):

File d:\Apps\envs\cuda11\Lib\site-packages\pandas\io\formats\style.py:537, in Styler.to_excel(self, excel_writer, sheet_name, na_rep, float_format, columns, header, index, index_label, startrow, startcol, engine, merge_cells, encoding, inf_rep, verbose, freeze_panes, storage_options)
    509 @doc(
    510     NDFrame.to_excel,
    511     klass="Styler",
   (...)
    533     storage_options: StorageOptions | None = None,
    534 ) -> None:
    535     from pandas.io.formats.excel import ExcelFormatter
--> 537     formatter = ExcelFormatter(
    538         self,
    539         na_rep=na_rep,
    540         cols=columns,
    541         header=header,
    542         float_format=float_format,
    543         index=index,
...
--> 417     raise KeyError(key)
    418 self._check_indexing_error(key)
    419 raise KeyError(key)

KeyError: 'A'

And I have no idea what s going on.

I tried to set axis=1

df.style.apply(highlight, color='red', subset=['A'], axis=1).to_excel(os.path.join(".\\data", 'highlighted_data.xlsx'), index=False)

but with no success.

Solution

  • You can use this:

    data = {'A': [1, 2, 3], 'B': [4, 2, 3], 'C': [7, 8, 9], 'D' : [7, 8, 9], 'E': [4, 5, 3]}
df = pd.DataFrame(data)

first_column_of_interest = 'A'
second_column_of_interest = 'B'

def highlight_max(s):
  # Only highlight second column of interest
  t = pd.Series('', index=s.index)
  if s[first_column_of_interest] == s[second_column_of_interest]:
    t[second_column_of_interest] = 'background-color: yellow'
  return t

#Writes to styled.xlsx
df.style.apply(highlight_max, axis=1).to_excel('styled.xlsx', engine='openpyxl')

    Figure

    If columns C and D are of interest:

    first_column_of_interest = 'C'
second_column_of_interest = 'D'

    Figure