BUG: timedelta as value to plot barplot raises error

[auderson]

Pandas version checks

• I have checked that this issue has not already been reported.

• I have confirmed this bug exists on the latest version of pandas.

• I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

import pandas as pd

values = pd.array(["13min 54s", "3.74s", "462ms"], dtype="timedelta64[ns]")
pd.Series(values, index=["a", "b", "c"]).plot.bar()

Issue Description

the above code will produce following error:

File ~/miniconda3/envs/py3.10/lib/python3.10/site-packages/pandas/plotting/_core.py:1131, in PlotAccessor.bar(self, x, y, **kwargs)
   1043 @Appender(
   1044     """
   1045     See Also
   (...)
   1120 @Appender(_bar_or_line_doc)
   1121 def bar(self, x=None, y=None, **kwargs):
   1122     """
   1123     Vertical bar plot.
   1124 
   (...)
   1129     other axis represents a measured value.
   1130     """
-> 1131     return self(kind="bar", x=x, y=y, **kwargs)

File ~/miniconda3/envs/py3.10/lib/python3.10/site-packages/pandas/plotting/_core.py:972, in PlotAccessor.__call__(self, *args, **kwargs)
    969             label_name = label_kw or data.columns
    970             data.columns = label_name
--> 972 return plot_backend.plot(data, kind=kind, **kwargs)

File ~/miniconda3/envs/py3.10/lib/python3.10/site-packages/pandas/plotting/_matplotlib/__init__.py:71, in plot(data, kind, **kwargs)
     69         kwargs["ax"] = getattr(ax, "left_ax", ax)
     70 plot_obj = PLOT_CLASSES[kind](data, **kwargs)
---> 71 plot_obj.generate()
     72 plot_obj.draw()
     73 return plot_obj.result

File ~/miniconda3/envs/py3.10/lib/python3.10/site-packages/pandas/plotting/_matplotlib/core.py:329, in MPLPlot.generate(self)
    327 self._compute_plot_data()
    328 self._setup_subplots()
--> 329 self._make_plot()
    330 self._add_table()
    331 self._make_legend()

File ~/miniconda3/envs/py3.10/lib/python3.10/site-packages/pandas/plotting/_matplotlib/core.py:1503, in BarPlot._make_plot(self)
   1500 pos_prior = neg_prior = np.zeros(len(self.data))
   1501 K = self.nseries
-> 1503 for i, (label, y) in enumerate(self._iter_data(fillna=0)):
   1504     ax = self._get_ax(i)
   1505     kwds = self.kwds.copy()

File ~/miniconda3/envs/py3.10/lib/python3.10/site-packages/pandas/plotting/_matplotlib/core.py:300, in MPLPlot._iter_data(self, data, keep_index, fillna)
    298     data = self.data
    299 if fillna is not None:
--> 300     data = data.fillna(fillna)
    302 for col, values in data.items():
    303     if keep_index is True:

File ~/miniconda3/envs/py3.10/lib/python3.10/site-packages/pandas/util/_decorators.py:311, in deprecate_nonkeyword_arguments.<locals>.decorate.<locals>.wrapper(*args, **kwargs)
    305 if len(args) > num_allow_args:
    306     warnings.warn(
    307         msg.format(arguments=arguments),
    308         FutureWarning,
    309         stacklevel=stacklevel,
    310     )
--> 311 return func(*args, **kwargs)

File ~/miniconda3/envs/py3.10/lib/python3.10/site-packages/pandas/core/frame.py:5220, in DataFrame.fillna(self, value, method, axis, inplace, limit, downcast)
   5209 @deprecate_nonkeyword_arguments(version=None, allowed_args=["self", "value"])
   5210 @doc(NDFrame.fillna, **_shared_doc_kwargs)
   5211 def fillna(
   (...)
   5218     downcast=None,
   5219 ) -> DataFrame | None:
-> 5220     return super().fillna(
   5221         value=value,
   5222         method=method,
   5223         axis=axis,
   5224         inplace=inplace,
   5225         limit=limit,
   5226         downcast=downcast,
   5227     )

File ~/miniconda3/envs/py3.10/lib/python3.10/site-packages/pandas/core/generic.py:6498, in NDFrame.fillna(self, value, method, axis, inplace, limit, downcast)
   6495         new_data = result
   6496     else:
-> 6498         new_data = self._mgr.fillna(
   6499             value=value, limit=limit, inplace=inplace, downcast=downcast
   6500         )
   6501 elif isinstance(value, ABCDataFrame) and self.ndim == 2:
   6503     new_data = self.where(self.notna(), value)._mgr

File ~/miniconda3/envs/py3.10/lib/python3.10/site-packages/pandas/core/internals/managers.py:414, in BaseBlockManager.fillna(self, value, limit, inplace, downcast)
    413 def fillna(self: T, value, limit, inplace: bool, downcast) -> T:
--> 414     return self.apply(
    415         "fillna", value=value, limit=limit, inplace=inplace, downcast=downcast
    416     )

File ~/miniconda3/envs/py3.10/lib/python3.10/site-packages/pandas/core/internals/managers.py:304, in BaseBlockManager.apply(self, f, align_keys, ignore_failures, **kwargs)
    302         applied = b.apply(f, **kwargs)
    303     else:
--> 304         applied = getattr(b, f)(**kwargs)
    305 except (TypeError, NotImplementedError):
    306     if not ignore_failures:

File ~/miniconda3/envs/py3.10/lib/python3.10/site-packages/pandas/core/internals/blocks.py:1855, in NDArrayBackedExtensionBlock.fillna(self, value, limit, inplace, downcast)
   1847 if not self._can_hold_element(value) and self.dtype.kind != "m":
   1848     # We support filling a DatetimeTZ with a `value` whose timezone
   1849     #  is different by coercing to object.
   1850     # TODO: don't special-case td64
   1851     return self.coerce_to_target_dtype(value).fillna(
   1852         value, limit, inplace, downcast
   1853     )
-> 1855 new_values = self.values.fillna(value=value, limit=limit)
   1856 return [self.make_block_same_class(values=new_values)]

File ~/miniconda3/envs/py3.10/lib/python3.10/site-packages/pandas/core/arrays/_mixins.py:328, in NDArrayBackedExtensionArray.fillna(self, value, method, limit)
    325 else:
    326     # We validate the fill_value even if there is nothing to fill
    327     if value is not None:
--> 328         self._validate_setitem_value(value)
    330     new_values = self.copy()
    331 return new_values

File ~/miniconda3/envs/py3.10/lib/python3.10/site-packages/pandas/core/arrays/datetimelike.py:743, in DatetimeLikeArrayMixin._validate_setitem_value(self, value)
    741     value = self._validate_listlike(value)
    742 else:
--> 743     return self._validate_scalar(value, allow_listlike=True)
    745 return self._unbox(value, setitem=True)

File ~/miniconda3/envs/py3.10/lib/python3.10/site-packages/pandas/core/arrays/datetimelike.py:644, in DatetimeLikeArrayMixin._validate_scalar(self, value, allow_listlike, setitem, unbox)
    642 else:
    643     msg = self._validation_error_message(value, allow_listlike)
--> 644     raise TypeError(msg)
    646 if not unbox:
    647     # NB: In general NDArrayBackedExtensionArray will unbox here;
    648     #  this option exists to prevent a performance hit in
    649     #  TimedeltaIndex.get_loc
    650     return value

TypeError: value should be a 'Timedelta', 'NaT', or array of those. Got 'int' instead.

Expected Behavior

.

Installed Versions

/home/auderson/miniconda3/envs/py3.10/lib/python3.10/site-packages/_distutils_hack/init.py:33: UserWarning: Setuptools is replacing distutils.
warnings.warn("Setuptools is replacing distutils.")

INSTALLED VERSIONS

commit : e8093ba
python : 3.10.4.final.0
python-bits : 64
OS : Linux
OS-release : 5.8.0-63-generic
Version : #71-Ubuntu SMP Tue Jul 13 15:59:12 UTC 2021
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8

pandas : 1.4.3
numpy : 1.21.6
pytz : 2022.1
dateutil : 2.8.2
setuptools : 63.4.2
pip : 22.2.2
Cython : 0.29.32
pytest : 7.1.2
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : 1.0.2
psycopg2 : 2.8.6
jinja2 : 3.1.2
IPython : 8.4.0
pandas_datareader: None
bs4 : 4.11.1
bottleneck : 1.3.5
brotli : None
fastparquet : None
fsspec : None
gcsfs : None
markupsafe : 2.1.1
matplotlib : 3.5.1
numba : 0.56.0
numexpr : 2.8.3
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 8.0.0
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.8.1
snappy : None
sqlalchemy : 1.4.39
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
zstandard : None

[dicristina]

I get the same exception on 1.5.2 but not on master.

INSTALLED VERSIONS

commit : 2e224c7
python : 3.10.6.final.0
python-bits : 64
OS : Linux
OS-release : 5.15.0-25-generic
Version : #25-Ubuntu SMP Wed Mar 30 15:54:22 UTC 2022
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8

pandas : 2.0.0.dev0+1025.g2e224c7e57
numpy : 1.23.3
pytz : 2022.2.1
dateutil : 2.8.2
setuptools : 59.6.0
pip : 22.0.2
Cython : None
pytest : 7.1.3
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.9.1
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.5.0
pandas_datareader: None
bs4 : 4.11.1
bottleneck : None
brotli : None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : 3.6.2
numba : None
numexpr : None
odfpy : None
openpyxl : 3.0.10
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : None
snappy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
zstandard : None
tzdata : None
qtpy : 2.2.1
pyqt5 : None

[dicristina]

The example code no longer raises an exception since the merge of #49479. Please check for the expected behavior.

[auderson]

Yes, it's been solved in main branch.