'Series' object has no attribute 'strftime'

The error message you are seeing suggests that you are trying to use the `strftime` method on a Pandas `Series` object, but this method is not defined for this type of object.

The `strftime` method is a datetime method that is used to format a datetime object as a string. It is not applicable to a Pandas `Series` object, which is a one-dimensional labeled array.

To resolve this issue, you should ensure that you are using the `strftime` method on a datetime object or a Pandas `DataFrame` object that contains datetime data. If you are working with a `Series` object, you may need to convert it to a datetime object first. Here's an example:

import pandas as pd

# create a Series object with datetime data
dates = pd.Series(['2022-01-01', '2022-02-01', '2022-03-01'])

# convert the Series to a datetime object
dates = pd.to_datetime(dates)

# use the strftime method on the datetime object
formatted_dates = dates.dt.strftime('%Y-%m-%d')

print(formatted_dates)

This should output:

0    2022-01-01
1    2022-02-01
2    2022-03-01
dtype: object

Note that in this example, we first converted the `Series` object to a datetime object using the `pd.to_datetime` function, and then used the `dt.strftime` method on the resulting datetime object to format it as a string.