How can I analyze time series data using Pandas in Jupyter Notebooks?
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How can I analyze time series data using Pandas in Jupyter Notebooks?
You can start by importing the necessary libraries like Pandas and Matplotlib. Do you have a specific dataset in mind?
Yes, I have a CSV file with daily stock prices. How do I load it?
You can use pd.read_csv('your_file.csv') to load your data into a DataFrame. Would you like help with visualizing it?
Yes, how can I plot the time series data?
You can use df['column_name'].plot() to create a simple line plot. Make sure to set the date column as the index first!
Got it! How can I perform a moving average on the data?
You can use df['column_name'].rolling(window=window_size).mean() to calculate the moving average. What window size are you considering?
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