Added log10 to the list of unary functions df.eval can handle (pandas-dev#24140)

Author: euri10

doc/source/enhancingperf.rst

@@ -469,7 +469,7 @@ These operations are supported by :func:`pandas.eval`:
 * Simple variable evaluation, e.g., ``pd.eval('df')`` (this is not very useful)
 * Math functions: `sin`, `cos`, `exp`, `log`, `expm1`, `log1p`,
   `sqrt`, `sinh`, `cosh`, `tanh`, `arcsin`, `arccos`, `arctan`, `arccosh`,
-  `arcsinh`, `arctanh`, `abs` and `arctan2`.
+  `arcsinh`, `arctanh`, `abs`, `arctan2` and `log10`.
 
 This Python syntax is **not** allowed:
 

doc/source/whatsnew/v0.24.0.rst

@@ -1355,6 +1355,7 @@ Numeric
 - :meth:`Series.agg` can now handle numpy NaN-aware methods like :func:`numpy.nansum` (:issue:`19629`)
 - Bug in :meth:`Series.rank` and :meth:`DataFrame.rank` when ``pct=True`` and more than 2:sup:`24` rows are present resulted in percentages greater than 1.0 (:issue:`18271`)
 - Calls such as :meth:`DataFrame.round` with a non-unique :meth:`CategoricalIndex` now return expected data. Previously, data would be improperly duplicated (:issue:`21809`).
+- Added ``log10`` to the list of supported functions in :meth:`DataFrame.eval` (:issue:`24139`)
 
 Strings
 ^^^^^^^

pandas/core/computation/ops.py

@@ -23,7 +23,7 @@
 
 _unary_math_ops = ('sin', 'cos', 'exp', 'log', 'expm1', 'log1p',
                    'sqrt', 'sinh', 'cosh', 'tanh', 'arcsin', 'arccos',
-                   'arctan', 'arccosh', 'arcsinh', 'arctanh', 'abs')
+                   'arctan', 'arccosh', 'arcsinh', 'arctanh', 'abs', 'log10')
 _binary_math_ops = ('arctan2',)
 _mathops = _unary_math_ops + _binary_math_ops