# Introduction The `DataFrame.asfreq()` method in Python's pandas library is used to convert a time series to a specified frequency. It provides a way to pad or backfill missing values. By applying this method to a DataFrame, we can convert the time series to the desired frequency, upsample the frequency, and fill in any missing values. ## VM Tips After the VM startup is done, click the top left corner to switch to the **Notebook** tab to access Jupyter Notebook for practice. Sometimes, you may need to wait a few seconds for Jupyter Notebook to finish loading. The validation of operations cannot be automated because of limitations in Jupyter Notebook. If you face issues during learning, feel free to ask Labby. Provide feedback after the session, and we will promptly resolve the problem for you.
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