DataFrame.
round
Round a DataFrame to a variable number of decimal places.
Number of decimal places to round each column to. If an int is given, round each column to the same number of places. Otherwise dict and Series round to variable numbers of places. Column names should be in the keys if decimals is a dict-like, or in the index if decimals is a Series. Any columns not included in decimals will be left as is. Elements of decimals which are not columns of the input will be ignored.
Note
If decimals is a Series, it is expected to be small, as all the data is loaded into the driver’s memory.
See also
Series.round
Examples
>>> df = ps.DataFrame({'A':[0.028208, 0.038683, 0.877076], ... 'B':[0.992815, 0.645646, 0.149370], ... 'C':[0.173891, 0.577595, 0.491027]}, ... columns=['A', 'B', 'C'], ... index=['first', 'second', 'third']) >>> df A B C first 0.028208 0.992815 0.173891 second 0.038683 0.645646 0.577595 third 0.877076 0.149370 0.491027
>>> df.round(2) A B C first 0.03 0.99 0.17 second 0.04 0.65 0.58 third 0.88 0.15 0.49
>>> df.round({'A': 1, 'C': 2}) A B C first 0.0 0.992815 0.17 second 0.0 0.645646 0.58 third 0.9 0.149370 0.49
>>> decimals = ps.Series([1, 0, 2], index=['A', 'B', 'C']) >>> df.round(decimals) A B C first 0.0 1.0 0.17 second 0.0 1.0 0.58 third 0.9 0.0 0.49