pytest.mark.parametrize("get_labels,get_expected", [ (lambda labels: labels, lambda labels: Categoric

pytest.mark.parametrize('get_dummies_kwargs,expected', [ ({'data': pd.DataFrame(({u'ä': ['a']}))},

pytest.mark.parametrize('time_locale', [ None] if tm.get_locales() is None else [None] + tm.get_locale

pytest.mark.parametrize("method", ["to_dense", "get_values"])

pytest.mark.parametrize('time_locale', [ None] if tm.get_locales() is None else [None] + tm.get_locale

pytest.mark.parametrize('tz', [pytz.timezone('US/Eastern'), gettz('US/East

pytest.mark.parametrize('tz', [pytz.timezone('US/Eastern'), gettz('US/East

pytest.mark.parametrize('tz', ['US/Eastern', 'dateutil/US/Eastern', pytz.t

pytest.mark.parametrize('tz', [pytz.timezone('US/Eastern'), gettz('US/East

pytest.mark.parametrize('tz', [pytz.timezone('US/Eastern'), gettz('US/East

pytest.mark.parametrize('tz', [pytz.timezone('US/Eastern'), gettz('US/East

pytest.mark.parametrize('tz', [pytz.timezone('US/Eastern'), gettz('US/East

pytest.mark.parametrize('tz', ['US/Eastern', 'dateutil/US/Eastern', pytz.t

image_comparison(baseline_images=['vline_hline_zorder', 'errorbar_zorder'],

pytest.mark.parametrize("input_kwargs,result_kwargs", [ (dict(), dict(dtype=np.int64)), (dict(errors="

pytest.mark.parametrize("decoded_input", [ NaT, np.datetime64("NaT"), np.nan,

pytest.mark.parametrize("double_input", [ math.pi, -math.pi # Should work with negatives too.

pytest.mark.parametrize("num_input", [ 31337, -31337, # Negative number. -92233720368

pytest.mark.parametrize("unicode_input", [ "Räksmörgås اسامة بن محمد بن عوض بن لادن", "\xe6\x9

pytest.mark.parametrize('input_vals', [ [Period('2016-01', freq='M'), Period('2016-02', freq='M')],

pytest.mark.parametrize('kwargs', generate_errorbar_inputs())

image_comparison(baseline_images=['fancyarrow_dpi_cor_100dpi'], remove_text=True, extensions

image_comparison(baseline_images=['fancyarrow_dpi_cor_200dpi'], remove_text=True, extensions

pytest.mark.parametrize( 'x, y1, y2', [ (np.zeros((2, 2)), 3, 3), (np.arange(0.0, 2, 0.02)

pytest.mark.parametrize( 'y, x1, x2', [ (np.zeros((2, 2)), 3, 3), (np.arange(0.0, 2, 0.02)

pytest.mark.parametrize('fill_value, expected_output', [ ('a', ['a', 'a', 'b', 'a', 'a']), ({1

image_comparison(baseline_images=['framealpha'], remove_text=True, tol={'aarch64': 0.02}.get

pytest.mark.parametrize('names,expected_error_msg', [ ('bad_input', "Names should be list-like for a Multi

pytest.mark.parametrize('invalid_input', [ 1, [1], [1, 2], [[1], 2], 'a', ['a'], [

pytest.mark.parametrize('func', get_is_dtype_funcs(), ids=la

pytest.mark.gettz

pytest.mark.parametrize('input, exp', [ # When everything is NaN ({'key': ['b'] * 10, 'value': np.nan}

image_comparison(baseline_images=['imshow_masked_interpolation'], tol={'aarch64': 0.02}.get(

pytest.mark.parametrize("target", [1, "cat", [1, 2], np.array([]), (1,

pytest.mark.parametrize("backend", _get_testable_interactive_backends())

pytest.mark.parametrize("has_getitem", [True, False])

pytest.mark.parametrize('color_type, param_dict, target', legend_color_tests, ids=leg

image_comparison(baseline_images=['lineprop_cycle_basic'], remove_text=True, tol={'aarch64':

image_comparison(baseline_images=['streamplot_linewidth'], tol={'aarch64': 0.02}.get(platfor

image_comparison(baseline_images=["loglog"], remove_text=True, extensions=['png'],

image_comparison(baseline_images=['logscale_nonpos_values'], remove_text=True, tol={'aarch64

image_comparison(baseline_images=['marker_cycle', 'marker_cycle'], tol={'aarch64': 0.02}.get

pytest.mark.parametrize('target', ['D', 'B'])

pytest.mark.parametrize('time_locale', [ None] if tm.get_locales() is None else [None] + tm.get_locale

pytest.mark.parametrize("compare", ( _get_overlap_public_nat_methods(Timestamp, True) + _get_overlap_p

pytest.mark.parametrize("get_nat", [ lambda x: NaT, lambda x: Timedelta(x), lambda x: Timestamp(x)

td.skip_if_np_lt_115 # prior didn't dispatch

td.skip_if_np_lt_115 # prior didn't dispatch

image_comparison(baseline_images=['plot_pint'], tol={'aarch64': 0.02}.get(platform.machine()

pytest.mark.parametrize('input, expected', raw_format_data)

image_comparison(baseline_images=['patch_alpha_coloring'], remove_text=True)

image_comparison(baseline_images=['patch_alpha_override'], remove_text=True)

image_comparison(baseline_images=['patch_custom_linestyle'], remove_text=True)

pytest.mark.parametrize("data, freq, msg", [ ([pd.Period('2017', 'D'), pd.Period('2017', 'A')],

image_comparison(baseline_images=['plot_masked_units'], tol={'aarch64': 0.02}.get(platform.m

image_comparison(baseline_images=['polar_box'], tol={'aarch64': 0.04}.get(platform.machine()

pytest.mark.parametrize('input', [ # test odd lengths [1, 2, 3], # test even lengths [1, 2, 3,

pytest.mark.parametrize('target', ['D', 'B', 'M'])

pytest.mark.parametrize("input_key,input_value,output_value", [ ([1, 2], [1, 1], [1.0, 1.0]), ([1, 1,

pytest.mark.parametrize('tz, normalize', [ (pytz.timezone('US/Eastern'), lambda x: x.tzinfo.normalize(

pytest.mark.parametrize('tzi, dt, dt_exp', [ (tz.gettz('Europe/London'), datetime(2018, 3, 25, 1, 30)

pytest.mark.parametrize('dt', [ datetime(2017, 11, 5, 1, 30, tzinfo=tz.gettz('America/New_York')), dat

pytest.mark.parametrize('dt', [ datetime(2017, 6, 2, 12, 30, tzinfo=tz.gettz('America/New_York')), dat

pytest.mark.parametrize('test_input, freq, expected', [ ('2018-01-01 00:02:06', '2s', '2018-01-01 00:0

pytest.mark.parametrize('writer, output', WRITER_OUTPUT)

image_comparison(baseline_images=['scatter_post_alpha'], extensions=['png'], remove_text=Tru

pytest.mark.parametrize('indexer,expected_error,expected_error_msg', [ (lambda s: s.__getitem__((2000, 3,

image_comparison(baseline_images=['set_get_ticklabels'], extensions=['png'])

pytest.mark.parametrize('dtype_target', ['object', 'category'])

pytest.mark.parametrize('axis', [-1, 2], ids=['axis less than 0',

pytest.mark.parametrize('n, noverlap', [(0, None), (11, None), (2, 2), (2, 3)],

pytest.mark.parametrize("p1,p2,expected", [ # Input validation. (offsets.MonthEnd(), None, False),

pytest.mark.parametrize('tz', [pytz.timezone('US/Eastern'), gettz('US/East

pytest.mark.parametrize('tz', [pytz.timezone('US/Eastern'), gettz('US/East

pytest.mark.parametrize('tz', [pytz.timezone('US/Eastern'), gettz('US/East

pytest.mark.parametrize('orient,item_getter', [ ('dict', lambda d, col, idx: d[col][idx]), ('r

pytest.mark.parametrize('value,float_format,expected', [ (0.19999, '%.3f', 'gh21625_expected_output'),

pytest.mark.parametrize('max_rows,expected', [ (60, 'gh14882_expected_output_1'), # Test that ... app

pytest.mark.parametrize('col_index_named, expected_output', [ (False, 'gh22783_expected_output'), (Tru

pytest.mark.parametrize('input_vals', [ ('2001'), ('NaT') ])

pytest.mark.parametrize('value, check_kwargs', [ [946688461000000000, {}], [946688461000000000

pytest.mark.skipif(PYPY, reason="PyPy getsizeof() fails by design")

pytest.mark.parametrize('validator, arg, target', generate_validator_testcases(True))

pytest.mark.parametrize('array, expected_type, dtype', [ (np.array([0, 1], dtype=np.int64), np.ndarray, 'i

pytest.mark.parametrize('target', ['D', 'B'])

pytest.mark.parametrize('tz', [pytz.timezone('US/Central'), gettz('US/Cent

pytest.fixture(params=[getattr(pd.offsets, o) for o in pd.offsets.__all__ if issubclas

array_function_dispatch(_tile_dispatcher)

array_function_dispatch(_unary_op_dispatcher)

array_function_dispatch(_trace_dispatcher)

array_function_dispatch(_translate_dispatcher)

array_function_dispatch(_transpose_dispatcher)

array_function_dispatch(_trapz_dispatcher)

array_function_dispatch(_trilu_dispatcher)

array_function_dispatch(_trilu_indices_form_dispatcher)

array_function_dispatch(_trim_zeros)

array_function_dispatch(_trilu_dispatcher)

array_function_dispatch(_trilu_indices_form_dispatcher)

array_function_dispatch(_union1d_dispatcher)

array_function_dispatch(_unique_dispatcher)