TST: base test for ExtensionArray.astype to its own type + copy keyword
- [] closes #28488
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
n.b. I'm not certain. I get no output on the command line when I run this command.
- [x] whatsnew entry

Notes: The test_string tests still fail, I have some ideas about how to fix it but I'm not sure about them. I'll try to give it a go. 

I'm also planning to squash&merge and clean up the commit names. If I should do that beforehand so other folks can see it, that's fine too. I'll just have to open another PR? This branch is not building because of an issue I'm not sure what folks want to do with- the "test_string" tests. 

pandas/tests/extension/test_string.py::TestCasting::test_astype_own_type[True] FAILED [ 87%]
(assert_extension_array_equal is what fails in testing_ module, at line 1198.)

I believe it fails because StringArray does not have __eq__ implemented, which ExtensionArray requires.  I don't know what to do next. I can take a look at implementing __eq__, but I wanted an okay to move forward on that.  Sorry for the delay, prepping the release. No need to squash. We do that on merge.

There are some merge conflicts now. Can you fix those?

> I don't know what to do next. I can take a look at implementing eq, but I wanted an okay to move forward on that.

Let's keep each PR as small as possible. Sounds good, I should get around to the merge conflicts tomorrow.  Fixed up the merge conflicts. There are still two tests that aren't passing due to the eq issue.
```pandas/tests/extension/test_string.py::TestCasting::test_astype_own_type[True] FAILED [ 87%]
pandas/tests/extension/test_string.py::TestCasting::test_astype_own_type[False] FAILED [ 90%]``` I temporarily disabled the failing test, in case that's why nobody was looking at this PR yet.  I think I found the problem, and I'm not sure of the correct layer to fix. I'd appreciate your input.

 `/Users/tomasz/src/dev_pandas/pandas/_testing.py(1196)assert_extension_array_equal()` does an astype with the base object class. (on line 1194). 

`> /Users/tomasz/src/dev_pandas/pandas/core/arrays/string_.py(283)astype()`
transforms it into dtype('O') (Line 271), and then checks if it's an instance of StringDtype(line 272). My guess is that that call should return true?

The result is it goes through to the base numpy_. extensionarray astype method, which blows up when you try to compare dtype('O') (not sure what the name should be. Pandas object dtype?) and self.dtype, which is StringDtype.

You should be able to replicate easily enough by pulling the pr and running `pytest pandas/tests/extension/ -k test_astype_own_type --tb=line --pdb` (I suspect you know already, just thought I'd make it convenient for you.) Welp, ran the full test suite and saw things failing. I'll go in and start trying to fix them. Should've been doing that locally given that the builds were failing.

edit: Cool, looks like it was the same problem you mentioned with is_dtype_equal in the other checks as well. 
edit2: Mostly. Ah well, far fewer errors anyway.  Something I don't understand is going wrong with pytests' xfail marking- tests are still failing despite being marked. You can run `pandas/tests/extension/test_numpy.py` with my latest commit to see what I'm talking about?

(I was unfamiliar with this pytest feature, so I might be misinterpreting.) A copy/paste of the (failing) output of the entire test suite, for reference:
```
=========================================================== FAILURES ===========================================================
_____________________________________ TestGetitem.test_loc_iloc_frame_single_dtype[float] ______________________________________
[XPASS(strict)] GH#33125 astype doesn't recognize data.dtype
____________________________________ TestGroupby.test_groupby_extension_apply[object-float] ____________________________________
[XPASS(strict)] GH#33125 astype doesn't recognize data.dtype
_____________________________________________ TestPrinting.test_series_repr[float] _____________________________________________
[XPASS(strict)] GH#33125 PandasArray.astype does not recognize PandasDtype
____________________________________________ TestPrinting.test_series_repr[object] _____________________________________________
[XPASS(strict)] GH#33125 PandasArray.astype does not recognize PandasDtype
_____________________________________ TestReadHtml.test_banklist_url_positional_match[bs4] _____________________________________

self = <pandas.tests.io.test_html.TestReadHtml object at 0x7f8a138168e0>

    @tm.network
    def test_banklist_url_positional_match(self):
        url = "http://www.fdic.gov/bank/individual/failed/banklist.html"
        # Passing match argument as positional should cause a FutureWarning.
        with tm.assert_produces_warning(FutureWarning):
>           df1 = self.read_html(
                url, "First Federal Bank of Florida", attrs={"id": "table"}
            )

pandas/tests/io/test_html.py:129:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pandas/util/_decorators.py:296: in wrapper
    return func(*args, **kwargs)
pandas/io/html.py:1086: in read_html
    return _parse(
pandas/io/html.py:898: in _parse
    tables = p.parse_tables()
pandas/io/html.py:217: in parse_tables
    tables = self._parse_tables(self._build_doc(), self.match, self.attrs)
pandas/io/html.py:596: in _build_doc
    bdoc = self._setup_build_doc()
pandas/io/html.py:588: in _setup_build_doc
    raw_text = _read(self.io)
pandas/io/html.py:125: in _read
    with urlopen(obj) as url:
pandas/io/common.py:153: in urlopen
    return urllib.request.urlopen(*args, **kwargs)
../../miniconda3/envs/pandas-dev/lib/python3.8/urllib/request.py:222: in urlopen
    return opener.open(url, data, timeout)
../../miniconda3/envs/pandas-dev/lib/python3.8/urllib/request.py:531: in open
    response = meth(req, response)
../../miniconda3/envs/pandas-dev/lib/python3.8/urllib/request.py:640: in http_response
    response = self.parent.error(
../../miniconda3/envs/pandas-dev/lib/python3.8/urllib/request.py:569: in error
    return self._call_chain(*args)
../../miniconda3/envs/pandas-dev/lib/python3.8/urllib/request.py:502: in _call_chain
    result = func(*args)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = <urllib.request.HTTPDefaultErrorHandler object at 0x7f8a25a685b0>
req = <urllib.request.Request object at 0x7f8a1447bb80>, fp = <http.client.HTTPResponse object at 0x7f8a1447bd00>, code = 404
msg = 'Not Found', hdrs = <http.client.HTTPMessage object at 0x7f8a14485040>

    def http_error_default(self, req, fp, code, msg, hdrs):
>       raise HTTPError(req.full_url, code, msg, hdrs, fp)
E       urllib.error.HTTPError: HTTP Error 404: Not Found

../../miniconda3/envs/pandas-dev/lib/python3.8/urllib/request.py:649: HTTPError
_____________________________________________ TestReadHtml.test_banklist_url[bs4] ______________________________________________

self = <pandas.tests.io.test_html.TestReadHtml object at 0x7f8a0aca8520>

    @tm.network
    def test_banklist_url(self):
        url = "http://www.fdic.gov/bank/individual/failed/banklist.html"
>       df1 = self.read_html(
            url, match="First Federal Bank of Florida", attrs={"id": "table"}
        )

pandas/tests/io/test_html.py:140:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pandas/util/_decorators.py:296: in wrapper
    return func(*args, **kwargs)
pandas/io/html.py:1086: in read_html
    return _parse(
pandas/io/html.py:898: in _parse
    tables = p.parse_tables()
pandas/io/html.py:217: in parse_tables
    tables = self._parse_tables(self._build_doc(), self.match, self.attrs)
pandas/io/html.py:596: in _build_doc
    bdoc = self._setup_build_doc()
pandas/io/html.py:588: in _setup_build_doc
    raw_text = _read(self.io)
pandas/io/html.py:125: in _read
    with urlopen(obj) as url:
pandas/io/common.py:153: in urlopen
    return urllib.request.urlopen(*args, **kwargs)
../../miniconda3/envs/pandas-dev/lib/python3.8/urllib/request.py:222: in urlopen
    return opener.open(url, data, timeout)
../../miniconda3/envs/pandas-dev/lib/python3.8/urllib/request.py:531: in open
    response = meth(req, response)
../../miniconda3/envs/pandas-dev/lib/python3.8/urllib/request.py:640: in http_response
    response = self.parent.error(
../../miniconda3/envs/pandas-dev/lib/python3.8/urllib/request.py:569: in error
    return self._call_chain(*args)
../../miniconda3/envs/pandas-dev/lib/python3.8/urllib/request.py:502: in _call_chain
    result = func(*args)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = <urllib.request.HTTPDefaultErrorHandler object at 0x7f8a25a685b0>
req = <urllib.request.Request object at 0x7f8a0aca88e0>, fp = <http.client.HTTPResponse object at 0x7f8a0aca8b50>, code = 404
msg = 'Not Found', hdrs = <http.client.HTTPMessage object at 0x7f8a0aca8d30>

    def http_error_default(self, req, fp, code, msg, hdrs):
>       raise HTTPError(req.full_url, code, msg, hdrs, fp)
E       urllib.error.HTTPError: HTTP Error 404: Not Found

../../miniconda3/envs/pandas-dev/lib/python3.8/urllib/request.py:649: HTTPError
____________________________________ TestReadHtml.test_banklist_url_positional_match[lxml] _____________________________________

self = <pandas.tests.io.test_html.TestReadHtml object at 0x7f89fcb8e340>

    @tm.network
    def test_banklist_url_positional_match(self):
        url = "http://www.fdic.gov/bank/individual/failed/banklist.html"
        # Passing match argument as positional should cause a FutureWarning.
        with tm.assert_produces_warning(FutureWarning):
>           df1 = self.read_html(
                url, "First Federal Bank of Florida", attrs={"id": "table"}
            )

pandas/tests/io/test_html.py:129:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pandas/util/_decorators.py:296: in wrapper
    return func(*args, **kwargs)
pandas/io/html.py:1086: in read_html
    return _parse(
pandas/io/html.py:898: in _parse
    tables = p.parse_tables()
pandas/io/html.py:217: in parse_tables
    tables = self._parse_tables(self._build_doc(), self.match, self.attrs)
pandas/io/html.py:736: in _build_doc
    raise e
pandas/io/html.py:717: in _build_doc
    with urlopen(self.io) as f:
pandas/io/common.py:153: in urlopen
    return urllib.request.urlopen(*args, **kwargs)
../../miniconda3/envs/pandas-dev/lib/python3.8/urllib/request.py:222: in urlopen
    return opener.open(url, data, timeout)
../../miniconda3/envs/pandas-dev/lib/python3.8/urllib/request.py:531: in open
    response = meth(req, response)
../../miniconda3/envs/pandas-dev/lib/python3.8/urllib/request.py:640: in http_response
    response = self.parent.error(
../../miniconda3/envs/pandas-dev/lib/python3.8/urllib/request.py:569: in error
    return self._call_chain(*args)
../../miniconda3/envs/pandas-dev/lib/python3.8/urllib/request.py:502: in _call_chain
    result = func(*args)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = <urllib.request.HTTPDefaultErrorHandler object at 0x7f8a25a685b0>
req = <urllib.request.Request object at 0x7f89fdac5910>, fp = <http.client.HTTPResponse object at 0x7f89fdac57c0>, code = 404
msg = 'Not Found', hdrs = <http.client.HTTPMessage object at 0x7f89fdac5ac0>

    def http_error_default(self, req, fp, code, msg, hdrs):
>       raise HTTPError(req.full_url, code, msg, hdrs, fp)
E       urllib.error.HTTPError: HTTP Error 404: Not Found

../../miniconda3/envs/pandas-dev/lib/python3.8/urllib/request.py:649: HTTPError
_____________________________________________ TestReadHtml.test_banklist_url[lxml] _____________________________________________

self = <pandas.tests.io.test_html.TestReadHtml object at 0x7f8a07710040>

    @tm.network
    def test_banklist_url(self):
        url = "http://www.fdic.gov/bank/individual/failed/banklist.html"
>       df1 = self.read_html(
            url, match="First Federal Bank of Florida", attrs={"id": "table"}
        )

pandas/tests/io/test_html.py:140:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pandas/util/_decorators.py:296: in wrapper
    return func(*args, **kwargs)
pandas/io/html.py:1086: in read_html
    return _parse(
pandas/io/html.py:898: in _parse
    tables = p.parse_tables()
pandas/io/html.py:217: in parse_tables
    tables = self._parse_tables(self._build_doc(), self.match, self.attrs)
pandas/io/html.py:736: in _build_doc
    raise e
pandas/io/html.py:717: in _build_doc
    with urlopen(self.io) as f:
pandas/io/common.py:153: in urlopen
    return urllib.request.urlopen(*args, **kwargs)
../../miniconda3/envs/pandas-dev/lib/python3.8/urllib/request.py:222: in urlopen
    return opener.open(url, data, timeout)
../../miniconda3/envs/pandas-dev/lib/python3.8/urllib/request.py:531: in open
    response = meth(req, response)
../../miniconda3/envs/pandas-dev/lib/python3.8/urllib/request.py:640: in http_response
    response = self.parent.error(
../../miniconda3/envs/pandas-dev/lib/python3.8/urllib/request.py:569: in error
    return self._call_chain(*args)
../../miniconda3/envs/pandas-dev/lib/python3.8/urllib/request.py:502: in _call_chain
    result = func(*args)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = <urllib.request.HTTPDefaultErrorHandler object at 0x7f8a25a685b0>
req = <urllib.request.Request object at 0x7f8a07710970>, fp = <http.client.HTTPResponse object at 0x7f8a07710940>, code = 404
msg = 'Not Found', hdrs = <http.client.HTTPMessage object at 0x7f8a07710c40>

    def http_error_default(self, req, fp, code, msg, hdrs):
>       raise HTTPError(req.full_url, code, msg, hdrs, fp)
E       urllib.error.HTTPError: HTTP Error 404: Not Found

../../miniconda3/envs/pandas-dev/lib/python3.8/urllib/request.py:649: HTTPError
____________________________________________ TestTSPlot.test_ts_plot_with_tz['UTC'] ____________________________________________

self = <pandas.tests.plotting.test_datetimelike.TestTSPlot object at 0x7f89dcd535b0>, tz_aware_fixture = 'UTC'

    @pytest.mark.slow
    def test_ts_plot_with_tz(self, tz_aware_fixture):
        # GH2877, GH17173, GH31205, GH31580
        tz = tz_aware_fixture
        index = date_range("1/1/2011", periods=2, freq="H", tz=tz)
        ts = Series([188.5, 328.25], index=index)
        with tm.assert_produces_warning(None):
            _check_plot_works(ts.plot)
            ax = ts.plot()
            xdata = list(ax.get_lines())[0].get_xdata()
            # Check first and last points' labels are correct
>           assert (xdata[0].hour, xdata[0].minute) == (0, 0)
E           AttributeError: 'numpy.datetime64' object has no attribute 'hour'

pandas/tests/plotting/test_datetimelike.py:57: AttributeError
======================================================= warnings summary =======================================================
pandas/tests/arrays/masked/test_arithmetic.py::test_array_scalar_like_equivalence[boolean-__pow__]
pandas/tests/extension/test_boolean.py::TestArithmeticOps::test_arith_series_with_scalar[__pow__]
pandas/tests/extension/test_boolean.py::TestArithmeticOps::test_arith_frame_with_scalar[__pow__]
  /Users/tomasz/src/dev_pandas/pandas/core/arrays/boolean.py:727: DeprecationWarning: In future, it will be an error for 'np.bool_' scalars to be interpreted as an index
    result = op(self._data, other)

pandas/tests/frame/test_api.py::TestDataFrameMisc::test_constructor_expanddim_lookup
  /Users/tomasz/miniconda3/envs/pandas-dev/lib/python3.8/inspect.py:350: FutureWarning: _AXIS_NAMES has been deprecated.
    value = getattr(object, key)

pandas/tests/frame/test_api.py::TestDataFrameMisc::test_constructor_expanddim_lookup
  /Users/tomasz/miniconda3/envs/pandas-dev/lib/python3.8/inspect.py:350: FutureWarning: _AXIS_NUMBERS has been deprecated.
    value = getattr(object, key)

pandas/tests/indexes/test_index_new.py::TestIndexConstructorInference::test_constructor_infer_nat_dt_like[<NA>-DatetimeIndex-datetime64[ns]-ctor0-0]
pandas/tests/indexes/test_index_new.py::TestIndexConstructorInference::test_constructor_infer_nat_dt_like[<NA>-DatetimeIndex-datetime64[ns]-ctor0-0]
pandas/tests/indexes/test_index_new.py::TestIndexConstructorInference::test_constructor_infer_nat_dt_like[<NA>-DatetimeIndex-datetime64[ns]-ctor0-1]
pandas/tests/indexes/test_index_new.py::TestIndexConstructorInference::test_constructor_infer_nat_dt_like[<NA>-DatetimeIndex-datetime64[ns]-ctor0-1]
pandas/tests/indexes/test_index_new.py::TestIndexConstructorInference::test_constructor_infer_nat_dt_like[<NA>-TimedeltaIndex-timedelta64[ns]-ctor1-0]
pandas/tests/indexes/test_index_new.py::TestIndexConstructorInference::test_constructor_infer_nat_dt_like[<NA>-TimedeltaIndex-timedelta64[ns]-ctor1-0]
pandas/tests/indexes/test_index_new.py::TestIndexConstructorInference::test_constructor_infer_nat_dt_like[<NA>-TimedeltaIndex-timedelta64[ns]-ctor1-1]
pandas/tests/indexes/test_index_new.py::TestIndexConstructorInference::test_constructor_infer_nat_dt_like[<NA>-TimedeltaIndex-timedelta64[ns]-ctor1-1]
  /Users/tomasz/src/dev_pandas/pandas/_testing.py:790: DeprecationWarning: elementwise comparison failed; this will raise an error in the future.
    diff = np.sum((left.values != right.values).astype(int)) * 100.0 / len(left)

pandas/tests/io/test_common.py: 4 tests with warnings
pandas/tests/io/excel/test_readers.py: 18 tests with warnings
pandas/tests/io/excel/test_writers.py: 1094 tests with warnings
pandas/tests/io/excel/test_xlrd.py: 8 tests with warnings
  /Users/tomasz/miniconda3/envs/pandas-dev/lib/python3.8/site-packages/xlrd/xlsx.py:266: DeprecationWarning: This method will be removed in future versions.  Use 'tree.iter()' or 'list(tree.iter())' instead.
    for elem in self.tree.iter() if Element_has_iter else self.tree.getiterator():

pandas/tests/io/test_common.py: 2 tests with warnings
pandas/tests/io/excel/test_readers.py: 9 tests with warnings
pandas/tests/io/excel/test_writers.py: 547 tests with warnings
pandas/tests/io/excel/test_xlrd.py: 4 tests with warnings
  /Users/tomasz/miniconda3/envs/pandas-dev/lib/python3.8/site-packages/xlrd/xlsx.py:312: DeprecationWarning: This method will be removed in future versions.  Use 'tree.iter()' or 'list(tree.iter())' instead.
    for elem in self.tree.iter() if Element_has_iter else self.tree.getiterator():

pandas/tests/io/test_fsspec.py::test_fastparquet_options
pandas/tests/io/test_fsspec.py::test_s3_parquet
pandas/tests/io/test_parquet.py::test_cross_engine_pa_fp
pandas/tests/io/test_parquet.py::test_cross_engine_pa_fp
pandas/tests/io/test_parquet.py::TestParquetFastParquet::test_filter_row_groups
pandas/tests/io/test_parquet.py::TestParquetFastParquet::test_partition_cols_supported
pandas/tests/io/test_parquet.py::TestParquetFastParquet::test_partition_cols_string
pandas/tests/io/test_parquet.py::TestParquetFastParquet::test_partition_on_supported
  /Users/tomasz/miniconda3/envs/pandas-dev/lib/python3.8/site-packages/fastparquet/parquet_thrift/parquet/ttypes.py:1929: DeprecationWarning: PY_SSIZE_T_CLEAN will be required for '#' formats
    iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])

pandas/tests/io/test_fsspec.py: 5 tests with warnings
pandas/tests/io/test_parquet.py: 14 tests with warnings
  /Users/tomasz/miniconda3/envs/pandas-dev/lib/python3.8/site-packages/fastparquet/parquet_thrift/parquet/ttypes.py:975: DeprecationWarning: PY_SSIZE_T_CLEAN will be required for '#' formats
    iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])

pandas/tests/io/test_orc.py: 4000 tests with warnings
  sys:1: DeprecationWarning: PY_SSIZE_T_CLEAN will be required for '#' formats

pandas/tests/io/excel/test_writers.py: 10 tests with warnings
  /Users/tomasz/src/dev_pandas/pandas/tests/io/excel/test_writers.py:1289: FutureWarning: inplace is deprecated and will be removed in a future version.
    expected.columns.set_levels(

pandas/tests/io/pytables/test_store.py::TestHDFStore::test_categorical
  /Users/tomasz/miniconda3/envs/pandas-dev/lib/python3.8/site-packages/tables/file.py:426: UserWarning: a closed node found in the registry: ``/s/_i_table``
    warnings.warn("a closed node found in the registry: "

pandas/tests/io/pytables/test_store.py::TestHDFStore::test_categorical
  /Users/tomasz/miniconda3/envs/pandas-dev/lib/python3.8/site-packages/tables/file.py:426: UserWarning: a closed node found in the registry: ``/s/meta/values/meta/_i_table``
    warnings.warn("a closed node found in the registry: "

pandas/tests/io/pytables/test_store.py::TestHDFStore::test_categorical
  /Users/tomasz/miniconda3/envs/pandas-dev/lib/python3.8/site-packages/tables/file.py:426: UserWarning: a closed node found in the registry: ``/s_ordered/_i_table``
    warnings.warn("a closed node found in the registry: "

pandas/tests/io/pytables/test_store.py::TestHDFStore::test_categorical
  /Users/tomasz/miniconda3/envs/pandas-dev/lib/python3.8/site-packages/tables/file.py:426: UserWarning: a closed node found in the registry: ``/s_ordered/meta/values/meta/_i_table``
    warnings.warn("a closed node found in the registry: "

pandas/tests/io/pytables/test_store.py::TestHDFStore::test_categorical
  /Users/tomasz/miniconda3/envs/pandas-dev/lib/python3.8/site-packages/tables/file.py:426: UserWarning: a closed node found in the registry: ``/si/_i_table``
    warnings.warn("a closed node found in the registry: "

pandas/tests/io/pytables/test_store.py::TestHDFStore::test_categorical
  /Users/tomasz/miniconda3/envs/pandas-dev/lib/python3.8/site-packages/tables/file.py:426: UserWarning: a closed node found in the registry: ``/si/meta/values/meta/_i_table``
    warnings.warn("a closed node found in the registry: "

pandas/tests/io/pytables/test_store.py::TestHDFStore::test_categorical
  /Users/tomasz/miniconda3/envs/pandas-dev/lib/python3.8/site-packages/tables/file.py:426: UserWarning: a closed node found in the registry: ``/si2/_i_table``
    warnings.warn("a closed node found in the registry: "

pandas/tests/io/pytables/test_store.py::TestHDFStore::test_categorical
  /Users/tomasz/miniconda3/envs/pandas-dev/lib/python3.8/site-packages/tables/file.py:426: UserWarning: a closed node found in the registry: ``/si2/meta/values/meta/_i_table``
    warnings.warn("a closed node found in the registry: "

pandas/tests/io/pytables/test_store.py::TestHDFStore::test_categorical
  /Users/tomasz/miniconda3/envs/pandas-dev/lib/python3.8/site-packages/tables/file.py:426: UserWarning: a closed node found in the registry: ``/df2/meta/values_block_2/meta/_i_table``
    warnings.warn("a closed node found in the registry: "

pandas/tests/io/pytables/test_store.py::TestHDFStore::test_categorical
  /Users/tomasz/miniconda3/envs/pandas-dev/lib/python3.8/site-packages/tables/file.py:426: UserWarning: a closed node found in the registry: ``/s2/_i_table``
    warnings.warn("a closed node found in the registry: "

pandas/tests/io/pytables/test_store.py::TestHDFStore::test_categorical
  /Users/tomasz/miniconda3/envs/pandas-dev/lib/python3.8/site-packages/tables/file.py:426: UserWarning: a closed node found in the registry: ``/s2/meta/values/meta/_i_table``
    warnings.warn("a closed node found in the registry: "

pandas/tests/io/pytables/test_store.py::TestHDFStore::test_categorical_conversion
  /Users/tomasz/miniconda3/envs/pandas-dev/lib/python3.8/site-packages/tables/file.py:426: UserWarning: a closed node found in the registry: ``/df/meta/imgids/meta/_i_table``
    warnings.warn("a closed node found in the registry: "

pandas/tests/plotting/test_frame.py::TestDataFramePlots::test_mpl2_color_cycle_str
  /Users/tomasz/src/dev_pandas/pandas/plotting/_matplotlib/style.py:64: MatplotlibDeprecationWarning: Support for uppercase single-letter colors is deprecated since Matplotlib 3.1 and will be removed in 3.3; please use lowercase instead.
    [conv.to_rgba(c) for c in colors]

pandas/tests/plotting/test_frame.py::TestDataFramePlots::test_errorbar_plot
pandas/tests/plotting/test_frame.py::TestDataFramePlots::test_errorbar_plot
pandas/tests/plotting/test_frame.py::TestDataFramePlots::test_errorbar_plot
pandas/tests/plotting/test_frame.py::TestDataFramePlots::test_errorbar_timeseries
pandas/tests/plotting/test_frame.py::TestDataFramePlots::test_errorbar_timeseries
pandas/tests/plotting/test_frame.py::TestDataFramePlots::test_errorbar_timeseries
  /Users/tomasz/src/dev_pandas/pandas/plotting/_matplotlib/__init__.py:61: UserWarning: To output multiple subplots, the figure containing the passed axes is being cleared
    plot_obj.generate()

pandas/tests/plotting/test_hist_method.py::TestSeriesPlots::test_hist_legacy
pandas/tests/plotting/test_hist_method.py::TestSeriesPlots::test_hist_legacy
pandas/tests/plotting/test_hist_method.py::TestSeriesPlots::test_hist_legacy
pandas/tests/plotting/test_series.py::TestSeriesPlots::test_hist_legacy
pandas/tests/plotting/test_series.py::TestSeriesPlots::test_hist_legacy
pandas/tests/plotting/test_series.py::TestSeriesPlots::test_hist_legacy
  /Users/tomasz/src/dev_pandas/pandas/tests/plotting/common.py:535: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance.  In a future version, a new instance will always be created and returned.  Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.
    kwargs.get("ax", fig.add_subplot(211))

pandas/tests/plotting/test_hist_method.py::TestSeriesPlots::test_hist_legacy
pandas/tests/plotting/test_hist_method.py::TestSeriesPlots::test_hist_legacy
pandas/tests/plotting/test_hist_method.py::TestSeriesPlots::test_hist_legacy
pandas/tests/plotting/test_series.py::TestSeriesPlots::test_hist_legacy
pandas/tests/plotting/test_series.py::TestSeriesPlots::test_hist_legacy
pandas/tests/plotting/test_series.py::TestSeriesPlots::test_hist_legacy
  /Users/tomasz/src/dev_pandas/pandas/tests/plotting/common.py:543: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance.  In a future version, a new instance will always be created and returned.  Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.
    kwargs["ax"] = fig.add_subplot(212)

pandas/tests/plotting/test_hist_method.py::TestSeriesPlots::test_hist_with_legend[b-2-expected_layout1]
  /Users/tomasz/src/dev_pandas/pandas/plotting/_matplotlib/hist.py:354: UserWarning: To output multiple subplots, the figure containing the passed axes is being cleared
    axes = _grouped_hist(

pandas/tests/plotting/test_hist_method.py::TestDataFramePlots::test_tight_layout
pandas/tests/plotting/test_hist_method.py::TestDataFramePlots::test_hist_column_order_unchanged[None-expected0]
pandas/tests/plotting/test_hist_method.py::TestDataFramePlots::test_hist_column_order_unchanged[column1-expected1]
pandas/tests/plotting/test_hist_method.py::TestDataFramePlots::test_hist_with_legend[None-None]
  /Users/tomasz/src/dev_pandas/pandas/tests/plotting/common.py:545: UserWarning: To output multiple subplots, the figure containing the passed axes is being cleared
    ret = f(**kwargs)

pandas/tests/plotting/test_hist_method.py::TestDataFramePlots::test_hist_subplot_xrot
pandas/tests/plotting/test_hist_method.py::TestDataFramePlots::test_hist_with_legend[None-c]
pandas/tests/plotting/test_hist_method.py::TestDataFramePlots::test_hist_with_legend[b-c]
  /Users/tomasz/src/dev_pandas/pandas/plotting/_matplotlib/hist.py:396: UserWarning: To output multiple subplots, the figure containing the passed axes is being cleared
    axes = _grouped_hist(

pandas/tests/plotting/test_misc.py::TestSeriesPlots::test_autocorrelation_plot
pandas/tests/plotting/test_misc.py::TestSeriesPlots::test_autocorrelation_plot
  /Users/tomasz/src/dev_pandas/pandas/plotting/_matplotlib/misc.py:443: UserWarning: Requested projection is different from current axis projection, creating new axis with requested projection.
    ax = plt.gca(xlim=(1, n), ylim=(-1.0, 1.0))

pandas/tests/plotting/test_misc.py::TestDataFramePlots::test_andrews_curves
pandas/tests/plotting/test_misc.py::TestDataFramePlots::test_andrews_curves
pandas/tests/plotting/test_misc.py::TestDataFramePlots::test_andrews_curves
pandas/tests/plotting/test_misc.py::TestDataFramePlots::test_andrews_curves
pandas/tests/plotting/test_misc.py::TestDataFramePlots::test_andrews_curves
pandas/tests/plotting/test_misc.py::TestDataFramePlots::test_andrews_curves
pandas/tests/plotting/test_misc.py::TestDataFramePlots::test_andrews_curves
pandas/tests/plotting/test_misc.py::TestDataFramePlots::test_andrews_curves
  /Users/tomasz/src/dev_pandas/pandas/plotting/_matplotlib/misc.py:263: UserWarning: Requested projection is different from current axis projection, creating new axis with requested projection.
    ax = plt.gca(xlim=(-np.pi, np.pi))

pandas/tests/plotting/test_misc.py::TestDataFramePlots::test_radviz
pandas/tests/plotting/test_misc.py::TestDataFramePlots::test_radviz
pandas/tests/plotting/test_misc.py::TestDataFramePlots::test_radviz
pandas/tests/plotting/test_misc.py::TestDataFramePlots::test_radviz
  /Users/tomasz/src/dev_pandas/pandas/plotting/_matplotlib/misc.py:147: UserWarning: Requested projection is different from current axis projection, creating new axis with requested projection.
    ax = plt.gca(xlim=[-1, 1], ylim=[-1, 1])

pandas/tests/series/test_api.py::TestSeriesMisc::test_tab_complete_warning
  <string>:1: DeprecationWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning.

-- Docs: https://docs.pytest.org/en/latest/warnings.html
=================================================== short test summary info ====================================================
FAILED pandas/tests/extension/test_numpy.py::TestGetitem::test_loc_iloc_frame_single_dtype[float]
FAILED pandas/tests/extension/test_numpy.py::TestGroupby::test_groupby_extension_apply[object-float]
FAILED pandas/tests/extension/test_numpy.py::TestPrinting::test_series_repr[float]
FAILED pandas/tests/extension/test_numpy.py::TestPrinting::test_series_repr[object]
FAILED pandas/tests/io/test_html.py::TestReadHtml::test_banklist_url_positional_match[bs4] - urllib.error.HTTPError: HTTP Err...
FAILED pandas/tests/io/test_html.py::TestReadHtml::test_banklist_url[bs4] - urllib.error.HTTPError: HTTP Error 404: Not Found
FAILED pandas/tests/io/test_html.py::TestReadHtml::test_banklist_url_positional_match[lxml] - urllib.error.HTTPError: HTTP Er...
FAILED pandas/tests/io/test_html.py::TestReadHtml::test_banklist_url[lxml] - urllib.error.HTTPError: HTTP Error 404: Not Found
FAILED pandas/tests/plotting/test_datetimelike.py::TestTSPlot::test_ts_plot_with_tz['UTC'] - AttributeError: 'numpy.datetime6...
============== 9 failed, 90776 passed, 1254 skipped, 1055 xfailed, 6 xpassed, 5790 warnings in 1620.23s (0:27:00) ==============
``` > Thanks for the updates!

You're welcome! Gotta do something to stay sane while applying for jobs, and I got tired of working on a data science thing.

> 
> The failures you mention, you can ignore I think, as they seem unrelated (eg the network failure). But the tests that were xfailed and are now passing need to be checked:

Cool, makes sense.

> 
> ```
> =================================== FAILURES ===================================
> _____________ TestGetitem.test_loc_iloc_frame_single_dtype[float] ______________
> [gw0] linux -- Python 3.7.9 /home/vsts/miniconda3/envs/pandas-dev/bin/python
> [XPASS(strict)] GH#33125 astype doesn't recognize data.dtype
> ____________ TestGroupby.test_groupby_extension_apply[object-float] ____________
> [gw0] linux -- Python 3.7.9 /home/vsts/miniconda3/envs/pandas-dev/bin/python
> [XPASS(strict)] GH#33125 astype doesn't recognize data.dtype
> _____________________ TestPrinting.test_series_repr[float] _____________________
> [gw0] linux -- Python 3.7.9 /home/vsts/miniconda3/envs/pandas-dev/bin/python
> [XPASS(strict)] GH#33125 PandasArray.astype does not recognize PandasDtype
> ____________________ TestPrinting.test_series_repr[object] _____________________
> [gw0] linux -- Python 3.7.9 /home/vsts/miniconda3/envs/pandas-dev/bin/python
> [XPASS(strict)] GH#33125 PandasArray.astype does not recognize PandasDtype
> =============================== warnings summary ===============================
> ```
> 
> They are all in `test_numpy.py`, I think, and I checked the first one: it seems that now for float dtype this test is working correctly, so we no longer need to xfail it:

ok good, makes sense.


re: one of the tests-

Should the ValueError comment in this test be left alone? Not sure why it's there.

```
class TestGroupby(BaseNumPyTests, base.BaseGroupbyTests):
    @skip_nested
    def test_groupby_extension_apply(
        self, data_for_grouping, groupby_apply_op, request
    ):
        # ValueError: Names should be list-like for a MultiIndex
        a = "a"
        is_identity = groupby_apply_op(a) is a
        if data_for_grouping.dtype.numpy_dtype == np.float64 and is_identity:
            mark = pytest.mark.xfail(
                reason="GH#33125 astype doesn't recognize data.dtype"
            )
            request.node.add_marker(mark)
        super().test_groupby_extension_apply(data_for_grouping, groupby_apply_op)
```

Just running the full test suite now. Once that's done I'll push. 
 Figured out that the linting was what was causing the failure; should've looked more closely at the details. Fixed the issue. @tomaszps Thanks a lot for the contribution!