how to select particular data from excel sheet and make deviation in python with example in win 11 / 10 or linux
Here's an example Python script that demonstrates how to select a particular range of data from an Excel sheet and calculate the deviation using the `pandas` library:
In this script, we first use the `pd.read_excel()` function to load an Excel file called `example.xlsx` into a pandas DataFrame. We then use the `.loc[]` function to select a range of cells from the DataFrame. In this case, we select rows 2 through 6 and columns A and B.
We then use the `.std()` function to calculate the standard deviation of the selected data. Finally, we print the result using the `print()` function.
Note that the result of `std()` is a pandas Series object that contains the standard deviation for each selected column. If you only want to print the standard deviation for one column, you can use `std_dev['column_name']` to access the value for that column.
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