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In pandas, groupby operations can produce scientific notation for large numbers, which can be undesirable.
To modify the format, utilize the display.float_format option to specify a custom string converter. For instance, to add decimals and limit the number of decimal places:
pd.set_option('display.float_format', lambda x: '%.3f' % x)
This will convert numeric values to strings with three decimal places.
Alternatively, if you prefer not to work with strings, you can apply a lambda function to each value in the Series to customize the formatting:
Series(np.random.randn(3)).apply(lambda x: '%.3f' % x)
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