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BUG: Plotting Timedelta on y-axis #16953 #17430

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Merged
merged 10 commits into from
Sep 6, 2017
Merged

BUG: Plotting Timedelta on y-axis #16953 #17430

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84a8cc2
implemented fix for GH issue #16953
s-weigand Sep 4, 2017
f8dcb84
added tests for fix of issue #16953
s-weigand Sep 4, 2017
23475c2
changed comments for git issue to pandas style GH#
s-weigand Sep 4, 2017
9bb7389
changed linelength in tests, so all lines are less than 80 characters
s-weigand Sep 4, 2017
13b60dc
added whatsnew entry
s-weigand Sep 4, 2017
eb6a110
swaped conversion and filtering of values, for plot to also work with…
s-weigand Sep 4, 2017
c438bb2
refomated code, so len(line) < 80
s-weigand Sep 4, 2017
e51a558
changed whatsnew with timedelta and datetime dtypes
s-weigand Sep 5, 2017
84ad1d4
added support for datetimetz and extended tests
s-weigand Sep 5, 2017
1ebfb13
added reason to pytest.mark.xfail
s-weigand Sep 5, 2017
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2 changes: 1 addition & 1 deletion doc/source/whatsnew/v0.21.0.txt
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Expand Up @@ -400,7 +400,7 @@ I/O
Plotting
^^^^^^^^
- Bug in plotting methods using ``secondary_y`` and ``fontsize`` not setting secondary axis font size (:issue:`12565`)

- Bug when plotting Timedelta and Datetime on y-axis (:issue:`16953`)
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say timedelta and datetime dtypes (and use double back-ticks).


Groupby/Resample/Rolling
^^^^^^^^^^^^^^^^^^^^^^^^
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4 changes: 3 additions & 1 deletion pandas/plotting/_core.py
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Expand Up @@ -342,7 +342,9 @@ def _compute_plot_data(self):
label = 'None'
data = data.to_frame(name=label)

numeric_data = data._convert(datetime=True)._get_numeric_data()
# GH16953
data = data._convert(datetime=True, timedelta=True)
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I don't think we need the _convert at all here. this is for object types that need to be coerced. almost all routines in pandas already assume this.

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The _convert is needed for a test, where a Series with numeric values and dtype object is used (tests.plotting.test_series.test_valid_object_plot).
If _convert isn't used, that test will fail in circleci.
To prevent the test from failing, _convert can either be used only on Series with dtype==object and after the to_frame (line 344), or on data in general after the Series specific part (line 346 as is now).

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did you take out the _convert and see, on what input does it fail?

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Yap i did, circleci fails at tests.plotting.test_series.test_valid_object_plot, since the Series is of dtype == object (s = Series(lrange(10), dtype=object), also see comment on your last requested changes).
Also i think doing a general data._convert is more sturdy, than just calling in if the Seriesis of type object (which would be the minimal change for the test to pass).

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ok I guess leave it in is ok. In general we don't automatically coerce object types (even if they are numbers) in other functions / places; we happen to do it in plotting for compat I think. Can you open a new issue for this to discuss (deprecating this).

numeric_data = data.select_dtypes(include=[np.number, "datetime", "timedelta"])

try:
is_empty = numeric_data.empty
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23 changes: 23 additions & 0 deletions pandas/tests/plotting/test_frame.py
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Expand Up @@ -380,6 +380,29 @@ def test_subplots_timeseries(self):
self._check_ticks_props(ax, xlabelsize=7, xrot=45,
ylabelsize=7)

def test_subplots_timeseries_y_axis(self):
# GH16953
data = {"numeric": np.array([1, 2, 5]),
"timedelta": [pd.Timedelta(10, unit="s"),
pd.Timedelta(10, unit="m"),
pd.Timedelta(10, unit="h")],
"datetime": [pd.to_datetime("2017-08-01 00:00:00"),
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can you add a datetime with a tz as well

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sure ^^

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I think some other types, e.g. Period might fail, if you can add them in another test with xfail would be fine (Categoricals might work as they area converted to ndarrays)

pd.to_datetime("2017-08-01 02:00:00"),
pd.to_datetime("2017-08-02 00:00:00")],
"text": ["This", "should", "fail"]}
testdata = DataFrame(data)
ax_numeric = testdata.plot(y="numeric")
assert (ax_numeric.get_lines()[0].get_data()[1] ==
testdata["numeric"].values).all()
ax_timedelta = testdata.plot(y="timedelta")
assert (ax_timedelta.get_lines()[0].get_data()[1] ==
testdata["timedelta"].values).all()
ax_datetime = testdata.plot(y="datetime")
assert (ax_datetime.get_lines()[0].get_data()[1] ==
testdata["datetime"].values).all()
with pytest.raises(TypeError):
testdata.plot(y="text")

@pytest.mark.slow
def test_subplots_layout(self):
# GH 6667
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