In DataFrame df, I am having index column as Timestamp in it some values are in format: %Y-%m-%d %H:%M:%S.%f and other values in format: %Y-%m-%d %H:%M:%S due to which I am facing issue in Sorting the index crudeoilm =crudeoilm.sort_index() as well and Data Fomat it also different.

My Code:

import pandas as pd

# Example DataFrame with mixed datetime formats in the index
data = {
    'final_lowerband': [None, None, None, None, 6698.0, 6698.0, 6698.0, 6698.0],
    'final_upperband': [None, None, None, None, None, None, None, None],
}
index = [
    '2024-07-12 20:38:59.667000',
    '2024-07-12 19:38:59.957000',
    '2024-07-12 19:36:59.897000',
    '2024-07-12 19:13:59.870000',
    '2024-07-12 18:15:59',
    '2024-07-12 21:35:00',
]
df = pd.DataFrame(data, index=index)

# Convert index to DatetimeIndex
df.index = pd.to_datetime(df.index)

# Convert index to desired format
df.index = df.index.strftime('%Y-%m-%d %H:%M:%S.%f')

# Display the DataFrame with the updated index format
print(df)

ERROR 1:

AttributeError: 'Index' object has no attribute 'strftime'

When Tried Sorting Index , without `strfdatetime getting error.

ERROR 2: TypeError: '<' not supported between instances of 'Timestamp' and 'str'

crudeoilm =crudeoilm.sort_index()

Expected Output:

Timestamp             final_lowerband   final_upperband
2024-07-12 18:15:59 6698.0  NaN
2024-07-12 19:13:59.870000  6698.0  NaN     
2024-07-12 19:36:59.897000  NaN NaN
2024-07-12 19:38:59.957000  NaN NaN
2024-07-12 20:38:59.667000  NaN NaN
2024-07-12 21:35:00 6698.0  NaN