Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

DOC: fix docstring validation errors for pandas.Series.dt.freq #60377

Merged
merged 2 commits into from
Nov 20, 2024
Merged

DOC: fix docstring validation errors for pandas.Series.dt.freq #60377

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
4119ffb
Added docs for Series.dt.freq and removed from ci/code_checks.sh
Ivruix Nov 20, 2024
84e93a1
Fix code style
Ivruix Nov 20, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 0 additions & 1 deletion ci/code_checks.sh
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -73,7 +73,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
-i "pandas.Period.freq GL08" \
-i "pandas.Period.ordinal GL08" \
-i "pandas.RangeIndex.from_range PR01,SA01" \
-i "pandas.Series.dt.freq GL08" \
-i "pandas.Series.dt.unit GL08" \
-i "pandas.Series.pad PR01,SA01" \
-i "pandas.Timedelta.max PR02" \
Expand Down
22 changes: 22 additions & 0 deletions pandas/core/indexes/accessors.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -373,6 +373,28 @@ def to_pydatetime(self) -> Series:

@property
def freq(self):
"""
Tries to return a string representing a frequency generated by infer_freq.

Returns None if it can't autodetect the frequency.

See Also
--------
Series.dt.to_period : Cast to PeriodArray/PeriodIndex at a particular
frequency.

Examples
--------
>>> ser = pd.Series(["2024-01-01", "2024-01-02", "2024-01-03", "2024-01-04"])
>>> ser = pd.to_datetime(ser)
>>> ser.dt.freq
'D'

>>> ser = pd.Series(["2022-01-01", "2024-01-01", "2026-01-01", "2028-01-01"])
>>> ser = pd.to_datetime(ser)
>>> ser.dt.freq
'2YS-JAN'
"""
return self._get_values().inferred_freq

def isocalendar(self) -> DataFrame:
Expand Down