replace example · pandas-dev/pandas@c950850 (original) (raw)

Original file line number Diff line number Diff line change
@@ -295,7 +295,7 @@ Null-values are no longer coerced to NaN-value in value_counts and mode
295 295 .. ipython:: python
296 296
297 297 s = pd.Series([True, None, pd.NaT, None, pd.NaT, None])
298 - res = s.value_counts(dropna=False)
298 + res = s.value_counts(dropna=False).keys()
299 299
300 300 Previously, all null-values were replaced by a NaN-value.
301 301
@@ -304,10 +304,7 @@ Previously, all null-values were replaced by a NaN-value.
304 304 .. code-block:: ipython
305 305
306 306 In [3]: res
307 - Out[3]:
308 - NaN 5
309 - True 1
310 - dtype: int64
307 + Out[3]: Index([nan, True], dtype='object')
311 308
312 309 Now null-values are no longer mangled.
313 310