Sliding window time series data with Python Pandas data frame
You can use the built-in Pandas functions to do it:

df["Time stamp"] = pd.to_datetime(df["Time stamp"]) # Convert column type to be datetime
indexed_df = df.set_index(["Time stamp"])           # Create a datetime index
indexed_df.rolling(100)                             # Create rolling windows
indexed_df.rolling(100).mean()                      # Then apply functions to rolling windows


This code is not 100% correct because the datetime conversion is not correct but it should help you get started.