Simple moving average sma in python pandas plotting

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sure! here is an informative tutorial about calculating and plotting simple moving average (sma) using python, pandas, and matplotlib:

simple moving average (sma):
a simple moving average (sma) is a calculation to analyze data points by creating a series of averages of different subsets of the full data set. it is commonly used in technical analysis to smooth out short-term fluctuations and highlight longer-term trends in data.

python libraries required:
1. pandas: used for data manipulation and analysis.
2. matplotlib: used for creating plots and visualizations.

code example:



in this code example:
1. we create a sample dataframe with date and price data.
2. we convert the 'date' column to datetime format and set it as the index.
3. we calculate the simple moving average (sma) with a window size of 3 using the `rolling()` method in pandas.
4. we plot the original price data and the sma on the same plot using matplotlib.

you can customize the window size of the sma by changing the `window` parameter in the `rolling()` method. this code example demonstrates how to calculate and plot a simple moving average in python using pandas and matplotlib.

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