how to merge the data if the dataframes don't have common column

If the DataFrames don't have a common column to merge on, you can still merge them based on their index using the `merge` function in pandas. Here's an example:

import pandas as pd

# Create two DataFrames
df1 = pd.DataFrame({'A': [1, 2, 3], 'B': ['a', 'b', 'c']}, index=[0, 1, 2])
df2 = pd.DataFrame({'C': [4, 5, 6], 'D': ['d', 'e', 'f']}, index=[2, 3, 4])

# Merge the DataFrames based on index
merged_df = pd.merge(df1, df2, left_index=True, right_index=True, how='outer')

# Output the merged result
print(merged_df)

In the above example, we have two DataFrames `df1` and `df2` without a common column. We use the `merge` function and specify `left_index=True` and `right_index=True` to merge them based on their index. The `how='outer'` parameter ensures that all rows from both DataFrames are included in the merged result.

Finally, we print the merged DataFrame `merged_df`. Adjust and modify the code according to your specific requirements.