Resolved: KeyError: "['Pets', 'Month_value'] not in index"

I tried to add arguement delim_whitespace = True in pd.read_csv code in module file so error changed from indexer to ID not found.  I am stcuk here please solve my this query as soon as possible.

pd.read_csv("wspace.csv", header=None, delim_whitespace=True)

I am writing the full error which is occurring for the code:
model.load_and_clean_data('Absenteeism_new_data.csv')

KeyError                                  Traceback (most recent call last)
<ipython-input-4-31f66a937b22> in <module>
----> 1 model.load_and_clean_data('Absenteeism_new_data.csv')

~\ML projects\absenteeism_module.py in load_and_clean_data(self, data_file)
    128 
    129             # we need this line so we can use it in the next functions
--> 130             self.data = self.scaler.transform(df)
    131 
    132         # a function which outputs the probability of a data point to be 1

~\ML projects\absenteeism_module.py in transform(self, X, y, copy)
     29     def transform(self, X, y=None, copy=None):
     30         init_col_order = X.columns
---> 31         X_scaled = pd.DataFrame(self.scaler.transform(X[self.columns]), columns=self.columns)
     32         X_not_scaled = X.loc[:,~X.columns.isin(self.columns)]
     33         return pd.concat([X_not_scaled, X_scaled], axis=1)[init_col_order]

~\anaconda3\lib\site-packages\pandas\core\frame.py in __getitem__(self, key)
   2910             if is_iterator(key):
   2911                 key = list(key)
-> 2912             indexer = self.loc._get_listlike_indexer(key, axis=1, raise_missing=True)[1]
   2913 
   2914         # take() does not accept boolean indexers

~\anaconda3\lib\site-packages\pandas\core\indexing.py in _get_listlike_indexer(self, key, axis, raise_missing)
   1252             keyarr, indexer, new_indexer = ax._reindex_non_unique(keyarr)
   1253 
-> 1254         self._validate_read_indexer(keyarr, indexer, axis, raise_missing=raise_missing)
   1255         return keyarr, indexer
   1256 

~\anaconda3\lib\site-packages\pandas\core\indexing.py in _validate_read_indexer(self, key, indexer, axis, raise_missing)
   1302             if raise_missing:
   1303                 not_found = list(set(key) - set(ax))
-> 1304                 raise KeyError(f"{not_found} not in index")
   1305 
   1306             # we skip the warning on Categorical

KeyError: "['Pets', 'Month_value'] not in index"

Resolved: After using clumsy approach I found the errors in the mismatch spelling of two variables: 'Pets' & 'Month_values'  in model file and module file. Now issue resolved by correcting the spelling in both files.

model.load_and_clean_data('Absenteeism_new_data.csv')

After running the code above, I go the error below

Output exceeds the size limit. Open the full output data in a text editor
---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
Cell In[3], line 1
----> 1 model.load_and_clean_data('Absenteeism_new_data.csv')

File ~/Desktop/ABSINTEEISM_DETECTION_MODEL/Absenteeism_Module.py:128, in absenteeism_model.load_and_clean_data(self, data_file)
    125 self.preprocessed_data = df.copy()
    127 # we need this line so we can use it in the next functions
--> 128 self.data = self.scaler.transform(df)

File ~/miniconda3/envs/myenv/lib/python3.10/site-packages/sklearn/utils/_set_output.py:142, in _wrap_method_output.<locals>.wrapped(self, X, *args, **kwargs)
    140 @wraps(f)
    141 def wrapped(self, X, *args, **kwargs):
--> 142     data_to_wrap = f(self, X, *args, **kwargs)
    143     if isinstance(data_to_wrap, tuple):
    144         # only wrap the first output for cross decomposition
    145         return (
    146             _wrap_data_with_container(method, data_to_wrap[0], X, self),
    147             *data_to_wrap[1:],
    148         )

File ~/Desktop/ABSINTEEISM_DETECTION_MODEL/Absenteeism_Module.py:31, in CustomScaler.transform(self, X, y, copy)
     29 def transform(self, X, y=None, copy=None):
     30     init_col_order = X.columns
---> 31     X_scaled = pd.DataFrame(self.scaler.transform(X[self.columns]), columns=self.columns)
...
   6173     raise KeyError(f"None of [{key}] are in the [{axis_name}]")
   6175 not_found = list(ensure_index(key)[missing_mask.nonzero()[0]].unique())
-> 6176 raise KeyError(f"{not_found} not in index")

KeyError: "['Pets'] not in index"

I have changed the Pets column in the csv file to Pet but the error is still showing.

Please help as I am stuck in this error