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)
The above is the detailed content of How Can I Modify Output Formatting for Pandas Groupby Aggregation with Scientific Notation?. For more information, please follow other related articles on the PHP Chinese website!