You are trying to merge on datetime64[ns] and object columns. If you wish to proceed you should use pd.concat

It seems like you're trying to merge two dataframes on columns with different data types. One column is datetime64[ns] and the other is object. To proceed with the merge, you can use the `pd.concat()` function. Here's an example:

import pandas as pd

df1 = pd.DataFrame({'date': ['2021-01-01', '2021-01-02', '2021-01-03'], 'value': [1, 2, 3]})
df2 = pd.DataFrame({'date': pd.to_datetime(['2021-01-01', '2021-01-02', '2021-01-03']), 'comment': ['good', 'better', 'best']})

merged_df = pd.concat([df1, df2], axis=1)

print(merged_df)

Output:

         date  value       date comment
0  2021-01-01      1 2021-01-01    good
1  2021-01-02      2 2021-01-02  better
2  2021-01-03      3 2021-01-03    best

In this example, `df1` has a column named `date` with object data type, and `df2` has a column named `date` with datetime64[ns] data type. We use `pd.to_datetime()` to convert the `date` column in `df2` to datetime64[ns] data type, and then use `pd.concat()` to merge the two dataframes on the common column `date`.