DOC: Test doctests in pandas/core/tools/datetimes.py (pandas-dev#26402)

gwrome · May 15, 2019 · 5468cc0 · 5468cc0
1 parent 3ee85e1
commit 5468cc0
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Showing 2 changed files with 12 additions and 10 deletions.
diff --git a/ci/code_checks.sh b/ci/code_checks.sh
@@ -239,6 +239,10 @@ if [[ -z "$CHECK" || "$CHECK" == "doctests" ]]; then
     pytest -q --doctest-modules pandas/core/groupby/groupby.py -k"-cumcount -describe -pipe"
     RET=$(($RET + $?)) ; echo $MSG "DONE"
 
+    MSG='Doctests datetimes.py' ; echo $MSG
+    pytest -q --doctest-modules pandas/core/tools/datetimes.py
+    RET=$(($RET + $?)) ; echo $MSG "DONE"
+
     MSG='Doctests top-level reshaping functions' ; echo $MSG
     pytest -q --doctest-modules \
         pandas/core/reshape/concat.py \

diff --git a/pandas/core/tools/datetimes.py b/pandas/core/tools/datetimes.py
@@ -525,8 +525,8 @@ def to_datetime(arg, errors='raise', dayfirst=False, yearfirst=False,
     'ms', 'us', 'ns']) or plurals of the same
 
     >>> df = pd.DataFrame({'year': [2015, 2016],
-                           'month': [2, 3],
-                           'day': [4, 5]})
+    ...                    'month': [2, 3],
+    ...                    'day': [4, 5]})
     >>> pd.to_datetime(df)
     0   2015-02-04
     1   2016-03-05
@@ -548,8 +548,7 @@ def to_datetime(arg, errors='raise', dayfirst=False, yearfirst=False,
     Passing infer_datetime_format=True can often-times speedup a parsing
     if its not an ISO8601 format exactly, but in a regular format.
 
-    >>> s = pd.Series(['3/11/2000', '3/12/2000', '3/13/2000']*1000)
-
+    >>> s = pd.Series(['3/11/2000', '3/12/2000', '3/13/2000'] * 1000)
     >>> s.head()
     0    3/11/2000
     1    3/12/2000
@@ -558,10 +557,10 @@ def to_datetime(arg, errors='raise', dayfirst=False, yearfirst=False,
     4    3/12/2000
     dtype: object
 
-    >>> %timeit pd.to_datetime(s,infer_datetime_format=True)
+    >>> %timeit pd.to_datetime(s,infer_datetime_format=True)  # doctest: +SKIP
     100 loops, best of 3: 10.4 ms per loop
 
-    >>> %timeit pd.to_datetime(s,infer_datetime_format=False)
+    >>> %timeit pd.to_datetime(s,infer_datetime_format=False)  # doctest: +SKIP
     1 loop, best of 3: 471 ms per loop
 
     Using a unix epoch time
@@ -577,10 +576,9 @@ def to_datetime(arg, errors='raise', dayfirst=False, yearfirst=False,
     Using a non-unix epoch origin
 
     >>> pd.to_datetime([1, 2, 3], unit='D',
-                       origin=pd.Timestamp('1960-01-01'))
-    0    1960-01-02
-    1    1960-01-03
-    2    1960-01-04
+    ...                origin=pd.Timestamp('1960-01-01'))
+    DatetimeIndex(['1960-01-02', '1960-01-03', '1960-01-04'], \
+dtype='datetime64[ns]', freq=None)
     """
     if arg is None:
         return None