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platform linux -- Python 3.9.6, pytest-6.2.4, py-1.10.0, pluggy-0.13.1
Matplotlib: 3.4.2
Freetype: 2.6.1
Dep Versions: Matplotlib 3.4.2, NumPy 1.21.1, Pandas 1.3.1, Pint 0.18.dev51+gabe3840, Pooch v1.4.0
	PyProj 3.1.0, SciPy 1.7.0, Traitlets 5.0.5, Xarray 0.19.1.dev8+gda99a566
rootdir: /home/runner/work/MetPy/MetPy, configfile: setup.cfg
plugins: mpl-0.13
collected 1145 items

tests/test_cbook.py .                                                    [  0%]
tests/test_deprecation.py .                                              [  0%]
tests/test_packaging.py .                                                [  0%]
tests/test_testing.py ....                                               [  0%]
tests/test_xarray.py ................................................... [  5%]
........................................................................ [ 11%]
........................................................................ [ 17%]
.......                                                                  [ 18%]
tests/calc/test_basic.py ............................................... [ 22%]
....................                                                     [ 24%]
tests/calc/test_calc_tools.py .......................................... [ 27%]
........................................................................ [ 34%]
..F..FF..F...                                                            [ 35%]
tests/calc/test_cross_sections.py .............                          [ 36%]
tests/calc/test_indices.py ...................                           [ 37%]
tests/calc/test_kinematics.py .......................................... [ 41%]
..............                                                           [ 42%]
tests/calc/test_thermo.py .............................................. [ 46%]
........................................................................ [ 53%]
..................................                                       [ 56%]
tests/calc/test_turbulence.py ...........................                [ 58%]
tests/interpolate/test_geometry.py .............                         [ 59%]
tests/interpolate/test_grid.py ........................                  [ 61%]
tests/interpolate/test_interpolate_tools.py .......                      [ 62%]
tests/interpolate/test_one_dimension.py .................                [ 63%]
tests/interpolate/test_points.py ...............                         [ 65%]
tests/interpolate/test_slices.py .......                                 [ 65%]
tests/io/test_gini.py ............                                       [ 66%]
tests/io/test_metar.py ...............                                   [ 68%]
tests/io/test_nexrad.py ................................................ [ 72%]
........................................................................ [ 78%]
..................................................                       [ 82%]
tests/io/test_station_data.py .                                          [ 83%]
tests/io/test_tools.py ..                                                [ 83%]
tests/plots/test_cartopy_utils.py .......                                [ 83%]
tests/plots/test_ctables.py ..........                                   [ 84%]
tests/plots/test_declarative.py ........................................ [ 88%]
............                                                             [ 89%]
tests/plots/test_mapping.py ......................                       [ 91%]
tests/plots/test_mpl.py .                                                [ 91%]
tests/plots/test_skewt.py ................................               [ 94%]
tests/plots/test_station_plot.py .........................               [ 96%]
tests/plots/test_util.py .............                                   [ 97%]
tests/plots/test_wx_symbols.py ....                                      [ 97%]
tests/units/test_units.py ..........................                     [100%]

=================================== FAILURES ===================================
_____________________ test_first_derivative_xarray_lonlat ______________________

test_da_lonlat = <xarray.DataArray 'temperature' (isobaric: 3, lat: 4, lon: 4)>
array([[[300.        , 298.93617021, 297.87234043, 296....) float64 260.0 263.3 266.7 270.0
    metpy_crs  object Projection: latitude_longitude
Attributes:
    units:    kelvin

    def test_first_derivative_xarray_lonlat(test_da_lonlat):
        """Test first derivative with an xarray.DataArray on a lonlat grid in each axis usage."""
        deriv = first_derivative(test_da_lonlat, axis='lon')  # dimension coordinate name
        deriv_alt1 = first_derivative(test_da_lonlat, axis='x')  # axis type
        deriv_alt2 = first_derivative(test_da_lonlat, axis=-1)  # axis number
    
        # Build the xarray of the desired values
>       partial = xr.DataArray(
            np.array([-3.30782978e-06, -3.42816074e-06, -3.57012948e-06, -3.73759364e-06]),
            coords=(('lat', test_da_lonlat['lat']),)
        )

tests/calc/test_calc_tools.py:1032: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/xarray/core/dataarray.py:410: in __init__
    coords, dims = _infer_coords_and_dims(data.shape, coords, dims)
/opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/xarray/core/dataarray.py:123: in _infer_coords_and_dims
    coord = as_variable(coord, name=dims[n]).to_index_variable()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

obj = ('lat', <xarray.DataArray 'lat' (lat: 4)>
array([30.      , 33.333333, 36.666667, 40.      ])
Coordinates:
  * lat    ...py_crs  object Projection: latitude_longitude
Attributes:
    units:        degrees_north
    _metpy_axis:  y,latitude)
name = 'dim_0'

    def as_variable(obj, name=None) -> "Union[Variable, IndexVariable]":
        """Convert an object into a Variable.
    
        Parameters
        ----------
        obj : object
            Object to convert into a Variable.
    
            - If the object is already a Variable, return a shallow copy.
            - Otherwise, if the object has 'dims' and 'data' attributes, convert
              it into a new Variable.
            - If all else fails, attempt to convert the object into a Variable by
              unpacking it into the arguments for creating a new Variable.
        name : str, optional
            If provided:
    
            - `obj` can be a 1D array, which is assumed to label coordinate values
              along a dimension of this given name.
            - Variables with name matching one of their dimensions are converted
              into `IndexVariable` objects.
    
        Returns
        -------
        var : Variable
            The newly created variable.
    
        """
        from .dataarray import DataArray
    
        # TODO: consider extending this method to automatically handle Iris and
        if isinstance(obj, DataArray):
            # extract the primary Variable from DataArrays
            obj = obj.variable
    
        if isinstance(obj, Variable):
            obj = obj.copy(deep=False)
        elif isinstance(obj, tuple):
            if isinstance(obj[1], DataArray):
>               raise TypeError(
                    "Using a DataArray object to construct a variable is"
                    " ambiguous, please extract the data using the .data property."
                )
E               TypeError: Using a DataArray object to construct a variable is ambiguous, please extract the data using the .data property.

/opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/xarray/core/variable.py:121: TypeError
------------------------------ Captured log setup ------------------------------
WARNING  metpy.xarray:xarray.py:770 Found valid latitude/longitude coordinates, assuming latitude_longitude for projection grid_mapping variable
_____________________ test_second_derivative_xarray_lonlat _____________________

test_da_lonlat = <xarray.DataArray 'temperature' (isobaric: 3, lat: 4, lon: 4)>
array([[[300.        , 298.93617021, 297.87234043, 296....) float64 260.0 263.3 266.7 270.0
    metpy_crs  object Projection: latitude_longitude
Attributes:
    units:    kelvin

    def test_second_derivative_xarray_lonlat(test_da_lonlat):
        """Test second derivative with an xarray.DataArray on a lonlat grid."""
        deriv = second_derivative(test_da_lonlat, axis='lat')
    
        # Build the xarray of the desired values
>       partial = xr.DataArray(
            np.array([1.67155420e-14, 1.67155420e-14, 1.74268211e-14, 1.74268211e-14]),
            coords=(('lat', test_da_lonlat['lat']),)
        )

tests/calc/test_calc_tools.py:1086: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/xarray/core/dataarray.py:410: in __init__
    coords, dims = _infer_coords_and_dims(data.shape, coords, dims)
/opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/xarray/core/dataarray.py:123: in _infer_coords_and_dims
    coord = as_variable(coord, name=dims[n]).to_index_variable()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

obj = ('lat', <xarray.DataArray 'lat' (lat: 4)>
array([30.      , 33.333333, 36.666667, 40.      ])
Coordinates:
  * lat    ...py_crs  object Projection: latitude_longitude
Attributes:
    units:        degrees_north
    _metpy_axis:  y,latitude)
name = 'dim_0'

    def as_variable(obj, name=None) -> "Union[Variable, IndexVariable]":
        """Convert an object into a Variable.
    
        Parameters
        ----------
        obj : object
            Object to convert into a Variable.
    
            - If the object is already a Variable, return a shallow copy.
            - Otherwise, if the object has 'dims' and 'data' attributes, convert
              it into a new Variable.
            - If all else fails, attempt to convert the object into a Variable by
              unpacking it into the arguments for creating a new Variable.
        name : str, optional
            If provided:
    
            - `obj` can be a 1D array, which is assumed to label coordinate values
              along a dimension of this given name.
            - Variables with name matching one of their dimensions are converted
              into `IndexVariable` objects.
    
        Returns
        -------
        var : Variable
            The newly created variable.
    
        """
        from .dataarray import DataArray
    
        # TODO: consider extending this method to automatically handle Iris and
        if isinstance(obj, DataArray):
            # extract the primary Variable from DataArrays
            obj = obj.variable
    
        if isinstance(obj, Variable):
            obj = obj.copy(deep=False)
        elif isinstance(obj, tuple):
            if isinstance(obj[1], DataArray):
>               raise TypeError(
                    "Using a DataArray object to construct a variable is"
                    " ambiguous, please extract the data using the .data property."
                )
E               TypeError: Using a DataArray object to construct a variable is ambiguous, please extract the data using the .data property.

/opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/xarray/core/variable.py:121: TypeError
------------------------------ Captured log setup ------------------------------
WARNING  metpy.xarray:xarray.py:770 Found valid latitude/longitude coordinates, assuming latitude_longitude for projection grid_mapping variable
_____________________________ test_gradient_xarray _____________________________

test_da_xy = <xarray.DataArray 'temperature' (time: 3, isobaric: 3, y: 4, x: 4)>
array([[[[300.        , 299.65034965, 299.3006993 ...  object Projection: lambert_conformal_conic
Attributes:
    units:         kelvin
    grid_mapping:  lambert_conformal

    def test_gradient_xarray(test_da_xy):
        """Test the 3D gradient calculation with a 4D DataArray in each axis usage."""
        deriv_x, deriv_y, deriv_p = gradient(test_da_xy, axes=('x', 'y', 'isobaric'))
        deriv_x_alt1, deriv_y_alt1, deriv_p_alt1 = gradient(test_da_xy,
                                                            axes=('x', 'y', 'vertical'))
        deriv_x_alt2, deriv_y_alt2, deriv_p_alt2 = gradient(test_da_xy, axes=(3, 2, 1))
    
        truth_x = xr.full_like(test_da_xy, -6.993007e-07)
        truth_x.attrs['units'] = 'kelvin / meter'
        truth_x = truth_x.metpy.quantify()
    
        truth_y = xr.full_like(test_da_xy, -2.797203e-06)
        truth_y.attrs['units'] = 'kelvin / meter'
        truth_y = truth_y.metpy.quantify()
    
>       partial = xr.DataArray(
            np.array([0.04129204, 0.03330003, 0.02264402]),
            coords=(('isobaric', test_da_xy['isobaric']),)
        )

tests/calc/test_calc_tools.py:1114: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/xarray/core/dataarray.py:410: in __init__
    coords, dims = _infer_coords_and_dims(data.shape, coords, dims)
/opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/xarray/core/dataarray.py:123: in _infer_coords_and_dims
    coord = as_variable(coord, name=dims[n]).to_index_variable()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

obj = ('isobaric', <xarray.DataArray 'isobaric' (isobaric: 3)>
array([850., 700., 500.])
Coordinates:
  * isobaric   (isobar...    metpy_crs  object Projection: lambert_conformal_conic
Attributes:
    units:        hPa
    _metpy_axis:  vertical)
name = 'dim_0'

    def as_variable(obj, name=None) -> "Union[Variable, IndexVariable]":
        """Convert an object into a Variable.
    
        Parameters
        ----------
        obj : object
            Object to convert into a Variable.
    
            - If the object is already a Variable, return a shallow copy.
            - Otherwise, if the object has 'dims' and 'data' attributes, convert
              it into a new Variable.
            - If all else fails, attempt to convert the object into a Variable by
              unpacking it into the arguments for creating a new Variable.
        name : str, optional
            If provided:
    
            - `obj` can be a 1D array, which is assumed to label coordinate values
              along a dimension of this given name.
            - Variables with name matching one of their dimensions are converted
              into `IndexVariable` objects.
    
        Returns
        -------
        var : Variable
            The newly created variable.
    
        """
        from .dataarray import DataArray
    
        # TODO: consider extending this method to automatically handle Iris and
        if isinstance(obj, DataArray):
            # extract the primary Variable from DataArrays
            obj = obj.variable
    
        if isinstance(obj, Variable):
            obj = obj.copy(deep=False)
        elif isinstance(obj, tuple):
            if isinstance(obj[1], DataArray):
>               raise TypeError(
                    "Using a DataArray object to construct a variable is"
                    " ambiguous, please extract the data using the .data property."
                )
E               TypeError: Using a DataArray object to construct a variable is ambiguous, please extract the data using the .data property.

/opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/xarray/core/variable.py:121: TypeError
_________________________ test_laplacian_xarray_lonlat _________________________

test_da_lonlat = <xarray.DataArray 'temperature' (isobaric: 3, lat: 4, lon: 4)>
array([[[300.        , 298.93617021, 297.87234043, 296....) float64 260.0 263.3 266.7 270.0
    metpy_crs  object Projection: latitude_longitude
Attributes:
    units:    kelvin

    def test_laplacian_xarray_lonlat(test_da_lonlat):
        """Test laplacian with an xarray.DataArray on a lonlat grid."""
        laplac = laplacian(test_da_lonlat, axes=('lat', 'lon'))
    
        # Build the xarray of the desired values
>       partial = xr.DataArray(
            np.array([1.67155420e-14, 1.67155420e-14, 1.74268211e-14, 1.74268211e-14]),
            coords=(('lat', test_da_lonlat['lat']),)
        )

tests/calc/test_calc_tools.py:1198: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/xarray/core/dataarray.py:410: in __init__
    coords, dims = _infer_coords_and_dims(data.shape, coords, dims)
/opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/xarray/core/dataarray.py:123: in _infer_coords_and_dims
    coord = as_variable(coord, name=dims[n]).to_index_variable()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

obj = ('lat', <xarray.DataArray 'lat' (lat: 4)>
array([30.      , 33.333333, 36.666667, 40.      ])
Coordinates:
  * lat    ...py_crs  object Projection: latitude_longitude
Attributes:
    units:        degrees_north
    _metpy_axis:  y,latitude)
name = 'dim_0'

    def as_variable(obj, name=None) -> "Union[Variable, IndexVariable]":
        """Convert an object into a Variable.
    
        Parameters
        ----------
        obj : object
            Object to convert into a Variable.
    
            - If the object is already a Variable, return a shallow copy.
            - Otherwise, if the object has 'dims' and 'data' attributes, convert
              it into a new Variable.
            - If all else fails, attempt to convert the object into a Variable by
              unpacking it into the arguments for creating a new Variable.
        name : str, optional
            If provided:
    
            - `obj` can be a 1D array, which is assumed to label coordinate values
              along a dimension of this given name.
            - Variables with name matching one of their dimensions are converted
              into `IndexVariable` objects.
    
        Returns
        -------
        var : Variable
            The newly created variable.
    
        """
        from .dataarray import DataArray
    
        # TODO: consider extending this method to automatically handle Iris and
        if isinstance(obj, DataArray):
            # extract the primary Variable from DataArrays
            obj = obj.variable
    
        if isinstance(obj, Variable):
            obj = obj.copy(deep=False)
        elif isinstance(obj, tuple):
            if isinstance(obj[1], DataArray):
>               raise TypeError(
                    "Using a DataArray object to construct a variable is"
                    " ambiguous, please extract the data using the .data property."
                )
E               TypeError: Using a DataArray object to construct a variable is ambiguous, please extract the data using the .data property.

/opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/xarray/core/variable.py:121: TypeError
------------------------------ Captured log setup ------------------------------
WARNING  metpy.xarray:xarray.py:770 Found valid latitude/longitude coordinates, assuming latitude_longitude for projection grid_mapping variable
=============================== warnings summary ===============================
tests/test_xarray.py::test_quantify
tests/test_xarray.py::test_dataset_quantify
tests/calc/test_calc_tools.py::test_parse_angle_invalid_arr
tests/calc/test_calc_tools.py::test_gradient_2d
tests/calc/test_calc_tools.py::test_gradient_4d
tests/calc/test_calc_tools.py::test_gradient_restricted_axes
tests/calc/test_calc_tools.py::test_3d_gradient_3d_data_no_axes
tests/calc/test_calc_tools.py::test_2d_gradient_4d_data_2_axes_3_deltas
tests/calc/test_calc_tools.py::test_2d_gradient_4d_data_2_axes_2_deltas
  /opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/numpy/testing/_private/utils.py:706: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
    x = np.asanyarray(x)

tests/test_xarray.py::test_quantify
tests/test_xarray.py::test_dataset_quantify
tests/calc/test_calc_tools.py::test_find_intersections[all-expected0]
tests/calc/test_calc_tools.py::test_find_intersections[increasing-expected1]
tests/calc/test_calc_tools.py::test_find_intersections[decreasing-expected2]
tests/calc/test_calc_tools.py::test_find_intersections_no_intersections
tests/calc/test_calc_tools.py::test_find_intersections_intersections_in_data_at_ends[all-expected0]
tests/calc/test_calc_tools.py::test_find_intersections_intersections_in_data_at_ends[increasing-expected1]
tests/calc/test_calc_tools.py::test_find_intersections_intersections_in_data_at_ends[decreasing-expected2]
  /opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/numpy/testing/_private/utils.py:707: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
    y = np.asanyarray(y)

tests/test_xarray.py: 1 warning
tests/calc/test_cross_sections.py: 8 warnings
tests/plots/test_declarative.py: 2 warnings
  /opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/xarray/core/variable.py:259: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
    data = np.asarray(data)

tests/test_xarray.py::test_preprocess_and_wrap_with_variable
  /opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/metpy/xarray.py:1192: UserWarning: Argument b given as xarray Variable...casting to its data. xarray DataArrays are recommended instead.
    warnings.warn(

tests/test_xarray.py::test_preprocess_and_wrap_with_variable
  /opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/metpy/xarray.py:1192: UserWarning: Argument a given as xarray Variable...casting to its data. xarray DataArrays are recommended instead.
    warnings.warn(

tests/calc/test_basic.py: 12 warnings
  /opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/numpy/ma/core.py:2829: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
    _data = np.array(data, dtype=dtype, copy=copy,

tests/calc/test_basic.py::test_apparent_temperature_scalar
tests/calc/test_basic.py::test_apparent_temperature_windchill
tests/calc/test_thermo.py::test_saturation_equivalent_potential_temperature_masked
  /opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/numpy/ma/core.py:711: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
    data = np.array(a, copy=False, subok=subok)

tests/calc/test_calc_tools.py::test_find_intersections[all-expected0]
tests/calc/test_calc_tools.py::test_find_intersections[increasing-expected1]
tests/calc/test_calc_tools.py::test_find_intersections[decreasing-expected2]
tests/calc/test_calc_tools.py::test_find_intersections_no_intersections
tests/calc/test_calc_tools.py::test_find_intersections_intersections_in_data_at_ends[all-expected0]
tests/calc/test_calc_tools.py::test_find_intersections_intersections_in_data_at_ends[increasing-expected1]
tests/calc/test_calc_tools.py::test_find_intersections_intersections_in_data_at_ends[decreasing-expected2]
  /opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/metpy/testing.py:156: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
    desired_mask = getattr(desired, 'mask', np.full(np.asarray(desired).shape, False))

tests/calc/test_calc_tools.py::test_parse_angle_abbrieviated
tests/calc/test_calc_tools.py::test_parse_angle_ext
tests/calc/test_calc_tools.py::test_parse_angle_mix_multiple
tests/calc/test_calc_tools.py::test_parse_angle_mix_multiple_arr
tests/calc/test_calc_tools.py::test_parse_angles_array
tests/calc/test_calc_tools.py::test_parse_angles_series
  /opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/pint/compat.py:55: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
    return np.asarray(value)

tests/calc/test_calc_tools.py::test_parse_angle_invalid_arr
tests/calc/test_calc_tools.py::test_gradient_2d
tests/calc/test_calc_tools.py::test_gradient_4d
tests/calc/test_calc_tools.py::test_gradient_restricted_axes
tests/calc/test_calc_tools.py::test_3d_gradient_3d_data_no_axes
tests/calc/test_calc_tools.py::test_2d_gradient_4d_data_2_axes_3_deltas
tests/calc/test_calc_tools.py::test_2d_gradient_4d_data_2_axes_2_deltas
  /opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/metpy/testing.py:155: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
    actual_mask = getattr(actual, 'mask', np.full(np.asarray(actual).shape, False))

tests/calc/test_calc_tools.py: 11 warnings
  /opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/pint/quantity.py:1842: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
    self._magnitude[key] = value

tests/calc/test_cross_sections.py: 14 warnings
tests/interpolate/test_slices.py: 2 warnings
  /opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/scipy/interpolate/interpolate.py:2546: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
    values += np.asarray(self.values[edge_indices]) * weight[vslice]

tests/calc/test_indices.py::test_precipitable_water_xarray
  /opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/xarray/core/utils.py:118: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
    index = pd.Index(np.asarray(array), **kwargs)

tests/calc/test_kinematics.py::test_advection_xarray
  /opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/metpy/xarray.py:1471: UserWarning: Vertical dimension number not found. Defaulting to (..., Z, Y, X) order.
    warnings.warn(

tests/plots/test_declarative.py::test_declarative_image
  /opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/cartopy/io/__init__.py:241: DownloadWarning: Downloading: https://naciscdn.org/naturalearth/110m/physical/ne_110m_coastline.zip
    warnings.warn('Downloading: {}'.format(url), DownloadWarning)

tests/plots/test_declarative.py::test_declarative_contour
  /opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/cartopy/io/__init__.py:241: DownloadWarning: Downloading: https://naciscdn.org/naturalearth/110m/cultural/ne_110m_admin_0_boundary_lines_land.zip
    warnings.warn('Downloading: {}'.format(url), DownloadWarning)

tests/plots/test_declarative.py::test_declarative_contour_cam
  /opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/cartopy/io/__init__.py:241: DownloadWarning: Downloading: https://naciscdn.org/naturalearth/50m/physical/ne_50m_land.zip
    warnings.warn('Downloading: {}'.format(url), DownloadWarning)

tests/plots/test_declarative.py::test_declarative_contour_cam
  /opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/cartopy/io/__init__.py:241: DownloadWarning: Downloading: https://naciscdn.org/naturalearth/50m/physical/ne_50m_coastline.zip
    warnings.warn('Downloading: {}'.format(url), DownloadWarning)

tests/plots/test_declarative.py::test_declarative_contour_cam
  /opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/cartopy/io/__init__.py:241: DownloadWarning: Downloading: https://naciscdn.org/naturalearth/50m/cultural/ne_50m_admin_0_boundary_lines_land.zip
    warnings.warn('Downloading: {}'.format(url), DownloadWarning)

tests/plots/test_declarative.py::test_declarative_contour_cam
  /opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/cartopy/io/__init__.py:241: DownloadWarning: Downloading: https://naciscdn.org/naturalearth/50m/cultural/ne_50m_admin_1_states_provinces_lakes.zip
    warnings.warn('Downloading: {}'.format(url), DownloadWarning)

tests/plots/test_declarative.py::test_declarative_events
  /opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/cartopy/io/__init__.py:241: DownloadWarning: Downloading: https://naciscdn.org/naturalearth/110m/cultural/ne_110m_admin_1_states_provinces_lakes.zip
    warnings.warn('Downloading: {}'.format(url), DownloadWarning)

tests/plots/test_declarative.py::test_projection_object
  /opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/cartopy/io/__init__.py:241: DownloadWarning: Downloading: https://naciscdn.org/naturalearth/50m/physical/ne_50m_lakes.zip
    warnings.warn('Downloading: {}'.format(url), DownloadWarning)

tests/plots/test_declarative.py::test_plotobs_units_with_formatter
  /home/runner/work/MetPy/MetPy/tests/plots/test_declarative.py:771: UserWarning: Pandas doesn't allow columns to be created via a new attribute name - see https://pandas.pydata.org/pandas-docs/stable/indexing.html#attribute-access
    df.units = {'alti': 'inHg'}

tests/plots/test_declarative.py::test_declarative_sfc_obs
  /opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/cartopy/io/__init__.py:241: DownloadWarning: Downloading: https://naciscdn.org/naturalearth/10m/cultural/ne_10m_admin_1_states_provinces_lakes.zip
    warnings.warn('Downloading: {}'.format(url), DownloadWarning)

tests/plots/test_declarative.py::test_declarative_sfc_obs_full
  /opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/cartopy/io/__init__.py:241: DownloadWarning: Downloading: https://naciscdn.org/naturalearth/10m/physical/ne_10m_coastline.zip
    warnings.warn('Downloading: {}'.format(url), DownloadWarning)

tests/plots/test_declarative.py::test_declarative_sfc_obs_full
  /opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/cartopy/io/__init__.py:241: DownloadWarning: Downloading: https://naciscdn.org/naturalearth/10m/cultural/ne_10m_admin_0_boundary_lines_land.zip
    warnings.warn('Downloading: {}'.format(url), DownloadWarning)

tests/plots/test_declarative.py::test_declarative_upa_obs_convert_barb_units
tests/plots/test_station_plot.py::test_barb_projection_list
tests/plots/test_station_plot.py::test_arrow_projection_list
tests/plots/test_station_plot.py::test_barb_unit_conversion
tests/plots/test_station_plot.py::test_arrow_unit_conversion
tests/plots/test_station_plot.py::test_barb_no_default_unit_conversion
  /opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/metpy/plots/station_plot.py:340: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
    u = np.array(u)

tests/plots/test_declarative.py::test_declarative_upa_obs_convert_barb_units
tests/plots/test_station_plot.py::test_barb_projection_list
tests/plots/test_station_plot.py::test_arrow_projection_list
tests/plots/test_station_plot.py::test_barb_unit_conversion
tests/plots/test_station_plot.py::test_arrow_unit_conversion
tests/plots/test_station_plot.py::test_barb_no_default_unit_conversion
  /opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/metpy/plots/station_plot.py:341: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
    v = np.array(v)

tests/plots/test_skewt.py::test_skewt_api_units
tests/plots/test_skewt.py::test_skewt_barb_unit_conversion
tests/plots/test_skewt.py::test_skewt_barb_no_default_unit_conversion
  /opt/hostedtoolcache/Python/3.9.6/x64/lib/python3.9/site-packages/numpy/ma/core.py:2361: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
    a = np.array(a, copy=copy, subok=True)

-- Docs: https://docs.pytest.org/en/stable/warnings.html
=========================== short test summary info ============================
FAILED tests/calc/test_calc_tools.py::test_first_derivative_xarray_lonlat - T...
FAILED tests/calc/test_calc_tools.py::test_second_derivative_xarray_lonlat - ...
FAILED tests/calc/test_calc_tools.py::test_gradient_xarray - TypeError: Using...
FAILED tests/calc/test_calc_tools.py::test_laplacian_xarray_lonlat - TypeErro...
=========== 4 failed, 1141 passed, 122 warnings in 218.22s (0:03:38) ===========

[dopplershift]

@jthielen any thoughts?

[jthielen]

It looks like our specification of coordinates as a tuple of name, data_array tuples was indirectly deprecated. Changing it to actual dicts makes it go through the proper path in _infer_coords_and_dims (where the DataArray is converted into a variable), as I've done in #1986.