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pls correct my code : def apply _ eba ( ratings _ matrix, importances _ 1 d _ array, cutoffs _ 1 d _ array

pls correct my code :
def apply_eba(ratings_matrix, importances_1d_array, cutoffs_1d_array):
# Convert inputs to numpy arrays
ratings = np.array(ratings_matrix)
importances = np.array(importances_1d_array)
cutoffs = np.array(cutoffs_1d_array)
# Create a DataFrame with ratings and importances
df = pd.DataFrame(ratings)
df.columns = importances
# Sort DataFrame by importances
df.sort_index(axis=1, ascending=False, inplace=True)
# Apply cutoffs
df = df.ge(cutoffs[importances.argsort()[::-1]])
# Eliminate products
while df.shape[0]>1:
df = df[df[df.columns[0]]]
df.drop(df.columns[0], axis=1, inplace=True)
# Return product index
return df.index[0]+1
# Test Case 1
ratings_matrix =[[1,7,7,7],[3,7,2,5],[7,1,7,1]]
importances_1d_array =[9,55,12,24]
cutoffs_1d_array =[2,2,2,2]
print(apply_eba(ratings_matrix, importances_1d_array, cutoffs_1d_array)) # Output: 2
# Test Case 2
ratings_matrix =[[1,1,2,3,4,5,5],[3,4,2,7,3,5,3],[2,4,3,4,6,4,3],[4,1,4,3,5,6,6],[3,1,6,6,4,6,4]]
importances_1d_array =[17,9,9,13,22,26,4]
cutoffs_1d_array =[1.5,1.5,3.5,2.5,1.5,2.5,2.5]
results =[apply_eba(ratings_matrix, importances_1d_array, cutoffs_1d_array) for _ in range(2000)]
print(np.bincount(results)[1:]/2000) # Output: array with probabilities for each product
error :
exer, axis, fill_value, allow_dups, copy, consolidate, only_slice, use_na_proxy)
674 # some axes don't allow reindexing with dups
675 if not allow_dups:
-->676 self.axes[axis]._validate_can_reindex(indexer)
677
678 if axis >= self.ndim:
~/opt/anaconda3/lib/python3.9/site-packages/pandas/core/indexes/base.py in _validate_can_reindex(self, indexer)
4119 # trying to reindex on an axis with duplicates
4120 if not self._index_as_unique and len(indexer):
->4121 raise ValueError("cannot reindex on an axis with duplicate labels")
4122
4123 def reindex(
ValueError: cannot reindex on an axis with duplicate labels

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