DataFrame.round(decimals=0, *args, **kwargs)
[source]
Round a DataFrame to a variable number of decimal places.
New in version 0.17.0.
Parameters: |
decimals : int, dict, Series 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 |
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Returns: |
DataFrame object |
See also
>>> df = pd.DataFrame(np.random.random([3, 3]), ... 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 = pd.Series([1, 0, 2], index=['A', 'B', 'C']) >>> df.round(decimals) A B C first 0.0 1 0.17 second 0.0 1 0.58 third 0.9 0 0.49
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http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.DataFrame.round.html