data collect from excel and print the deviation by python in win 11

To collect data from an Excel file and calculate the deviation using Python, you can use the "pandas" library. Here's an example script that reads data from an Excel file, calculates the standard deviation, and prints the result:

In this script, we first import the `pandas` library using the `import` statement. We then use the `pd.read_excel` function to read data from an Excel file called `data.xlsx`. We specify `header=None` to indicate that the Excel file has no header row.

Next, we use the `std` function to calculate the standard deviation of the data. This function is a built-in method of the `DataFrame` object in `pandas`, which is what `pd.read_excel` returns.

Finally, we print out the result using the `print` statement. Note that `std_dev` is a `pandas` `Series` object, which contains the standard deviation for each column of the data. If you only have one column of data, you can access the standard deviation value using `std_dev[0]`.

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