Pandas version checks

  • [X] I have checked that this issue has not already been reported.

  • [X] I have confirmed this bug exists on the latest version of pandas.

  • [ ] I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

In [2]: import pandas as pd
In [3]: pd.__version__
Out[3]: '2.1.0'
In [4]: import decimal
In [6]: import numpy as np
In [7]: pdf = pd.DataFrame(
   ...:         {
   ...:             "a": [1.2234242333234, 323432.3243423, np.nan],
   ...:             "b": ["a", "b", "c"],
   ...:             "c": pd.Series([34224, 324324, 324342], dtype="datetime64[ns]"),
   ...:             "d": pd.Series([224.242, None, 2424.234324], dtype="category"),
   ...:             "e": [
   ...:                 decimal.Decimal("342.3243234234242"),
   ...:                 decimal.Decimal("89.32432497687622"),
   ...:                 None,
   ...:             ],
   ...:         }
   ...:     )
In [8]: round(pdf, 2)
Out[8]: 
           a  b                             c            d                  e
0       1.22  a 1970-01-01 00:00:00.000034224   224.242000  342.3243234234242
1  323432.32  b 1970-01-01 00:00:00.000324324          NaN  89.32432497687622
2        NaN  c 1970-01-01 00:00:00.000324342  2424.234324               None
In [9]: round(pdf.a, 2)
Out[9]: 
0         1.22
1    323432.32
2          NaN
Name: a, dtype: float64
In [10]: round(pdf.b, 2)
Traceback (most recent call last):
  File "/Users/pgali/PycharmProjects/pythonProject/venv/lib/python3.10/site-packages/IPython/core/interactiveshell.py", line 3378, in run_code
    exec(code_obj, self.user_global_ns, self.user_ns)
  File "<ipython-input-10-9c75601ee514>", line 1, in <module>
    round(pdf.b, 2)
  File "/Users/pgali/PycharmProjects/pythonProject/venv/lib/python3.10/site-packages/pandas/core/generic.py", line 1663, in __round__
    return self.round(decimals).__finalize__(self, method="__round__")
  File "/Users/pgali/PycharmProjects/pythonProject/venv/lib/python3.10/site-packages/pandas/core/series.py", line 2688, in round
    result = self._values.round(decimals)
TypeError: can't multiply sequence by non-int of type 'float'
In [11]: round(pdf.c, 2)
Traceback (most recent call last):
  File "/Users/pgali/PycharmProjects/pythonProject/venv/lib/python3.10/site-packages/IPython/core/interactiveshell.py", line 3378, in run_code
    exec(code_obj, self.user_global_ns, self.user_ns)
  File "<ipython-input-11-6d1f4094de81>", line 1, in <module>
    round(pdf.c, 2)
  File "/Users/pgali/PycharmProjects/pythonProject/venv/lib/python3.10/site-packages/pandas/core/generic.py", line 1663, in __round__
    return self.round(decimals).__finalize__(self, method="__round__")
  File "/Users/pgali/PycharmProjects/pythonProject/venv/lib/python3.10/site-packages/pandas/core/series.py", line 2688, in round
    result = self._values.round(decimals)
  File "/Users/pgali/PycharmProjects/pythonProject/venv/lib/python3.10/site-packages/pandas/core/arrays/datetimelike.py", line 2140, in round
    return self._round(freq, RoundTo.NEAREST_HALF_EVEN, ambiguous, nonexistent)
  File "/Users/pgali/PycharmProjects/pythonProject/venv/lib/python3.10/site-packages/pandas/core/arrays/datetimelike.py", line 2122, in _round
    offset = to_offset(freq)
  File "offsets.pyx", line 4460, in pandas._libs.tslibs.offsets.to_offset
  File "offsets.pyx", line 4562, in pandas._libs.tslibs.offsets.to_offset
ValueError: Invalid frequency: 2
In [12]: round(pdf.d, 2)
Traceback (most recent call last):
  File "/Users/pgali/PycharmProjects/pythonProject/venv/lib/python3.10/site-packages/IPython/core/interactiveshell.py", line 3378, in run_code
    exec(code_obj, self.user_global_ns, self.user_ns)
  File "<ipython-input-12-9fba030eaf35>", line 1, in <module>
    round(pdf.d, 2)
  File "/Users/pgali/PycharmProjects/pythonProject/venv/lib/python3.10/site-packages/pandas/core/generic.py", line 1663, in __round__
    return self.round(decimals).__finalize__(self, method="__round__")
  File "/Users/pgali/PycharmProjects/pythonProject/venv/lib/python3.10/site-packages/pandas/core/series.py", line 2688, in round
    result = self._values.round(decimals)
AttributeError: 'Categorical' object has no attribute 'round'
In [13]: round(pdf.e, 2)
Traceback (most recent call last):
  File "/Users/pgali/PycharmProjects/pythonProject/venv/lib/python3.10/site-packages/IPython/core/interactiveshell.py", line 3378, in run_code
    exec(code_obj, self.user_global_ns, self.user_ns)
  File "<ipython-input-13-d91def30b1e6>", line 1, in <module>
    round(pdf.e, 2)
  File "/Users/pgali/PycharmProjects/pythonProject/venv/lib/python3.10/site-packages/pandas/core/generic.py", line 1663, in __round__
    return self.round(decimals).__finalize__(self, method="__round__")
  File "/Users/pgali/PycharmProjects/pythonProject/venv/lib/python3.10/site-packages/pandas/core/series.py", line 2688, in round
    result = self._values.round(decimals)
TypeError: unsupported operand type(s) for *: 'decimal.Decimal' and 'float'


In [4]: round(decimal.Decimal("23234.323224"), 2)
Out[4]: Decimal('23234.32')

Issue Description

  1. Looks like DataFrame.round is able to ignore errors and return the existing columns if rounding isn't possible, but Series.round is throwing errors, would it be possible to do the same incase of Series too?
  2. rounding on decimals doesn't seem to happen both incase of Series & DataFrame

Expected Behavior

  1. Consistent behavior with Series.round & DataFrame.round.
  2. The rounding of decimals work should work as shown above.

Installed Versions

INSTALLED VERSIONS ------------------ commit : ba1cccd19da778f0c3a7d6a885685da16a072870 python : 3.10.2.final.0 python-bits : 64 OS : Darwin OS-release : 22.6.0 Version : Darwin Kernel Version 22.6.0: Wed Jul 5 22:22:05 PDT 2023; root:xnu-8796.141.3~6/RELEASE_ARM64_T6000 machine : arm64 processor : arm byteorder : little LC_ALL : None LANG : None LOCALE : en_US.UTF-8 pandas : 2.1.0 numpy : 1.23.2 pytz : 2022.2.1 dateutil : 2.8.2 setuptools : 60.2.0 pip : 21.3.1 Cython : None pytest : None hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : None html5lib : None pymysql : None psycopg2 : None jinja2 : None IPython : 8.5.0 pandas_datareader : None bs4 : None bottleneck : None dataframe-api-compat: None fastparquet : None fsspec : None gcsfs : None matplotlib : None numba : None numexpr : 2.8.4 odfpy : None openpyxl : None pandas_gbq : None pyarrow : 11.0.0 pyreadstat : None pyxlsb : None s3fs : None scipy : None sqlalchemy : None tables : None tabulate : None xarray : None xlrd : None zstandard : None tzdata : 2023.3 qtpy : None pyqt5 : None

Comment From: mroeschke

IMO I think

  1. DataFrame.round should raise if some columns are not numeric (especially since a numeric_only keyword does not exist (yet) on this method)
  2. Yes, Decimal rounding should work

Comment From: sharkipelago

take