@@ -225,9 +225,8 @@ NA and Missing Data Handling
225225
226226na_values : scalar, str, list-like, or dict, default ``None ``
227227 Additional strings to recognize as NA/NaN. If dict passed, specific per-column
228- NA values. By default the following values are interpreted as NaN:
229- ``'-1.#IND', '1.#QNAN', '1.#IND', '-1.#QNAN', '#N/A N/A', '#N/A', 'N/A', 'n/a', 'NA',
230- '#NA', 'NULL', 'null', 'NaN', '-NaN', 'nan', '-nan', '' ``.
228+ NA values. By default the following values are interpreted as NaN: See :ref: `na values const
229+ <io.navaluesconst>` below.
231230keep_default_na : boolean, default ``True ``
232231 If na_values are specified and keep_default_na is ``False `` the default NaN
233232 values are overridden, otherwise they're appended to.
@@ -1020,8 +1019,11 @@ the corresponding equivalent values will also imply a missing value (in this cas
10201019``[5.0,5] `` are recognized as ``NaN ``.
10211020
10221021To completely override the default values that are recognized as missing, specify ``keep_default_na=False ``.
1023- The default ``NaN `` recognized values are ``['-1.#IND', '1.#QNAN', '1.#IND', '-1.#QNAN', '#N/A','N/A', 'NA',
1024- '#NA', 'NULL', 'NaN', '-NaN', 'nan', '-nan'] ``. Although a 0-length string
1022+
1023+ .. _io.navaluesconst :
1024+
1025+ The default ``NaN `` recognized values are ``['-1.#IND', '1.#QNAN', '1.#IND', '-1.#QNAN', '#N/A N/A', '#N/A', 'N/A',
1026+ 'n/a', 'NA', '#NA', 'NULL', 'null', 'NaN', '-NaN', 'nan', '-nan', ''] ``. Although a 0-length string
10251027``'' `` is not included in the default ``NaN `` values list, it is still treated
10261028as a missing value.
10271029
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