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SciTools / cartopy

Cartopy - a cartographic python library with matplotlib support
https://scitools.org.uk/cartopy/docs/latest
BSD 3-Clause "New" or "Revised" License
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Cartopy failling when using DataArray directly #2049

Closed axnsantana closed 2 years ago

axnsantana commented 2 years ago

Description

Hi,

Trying to plot some data using xarray's DataArray structure, cartopy fails because it expects (implicitly) the input data to be a numpy array. There is a similar discussion/issue here, here, and a fixing here.

We could follow the Numpy solution and apply it to Cartopy, calling asanyarray on the input data.

Code to reproduce

import xarray as xr
import numpy as np
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
import cartopy

w = 3
Y, X = np.mgrid[-w:w:100j, -w:w:100j]
U = -1 - X**2 + Y
V = 1 + X - Y**2
speed = np.sqrt(U**2 + V**2)

lons = np.linspace(0, 5, np.shape(Y)[0])
lats = np.linspace(37, 42, np.shape(Y)[0])

xarray_field = xr.Dataset(
    {
        "u_velocity": (["latitude", "longitude"], U),
        "v_velocity": (["latitude", "longitude"], V),
        "speed": (["latitude", "longitude"], speed)
    },
    coords={
        "longitude": lons,
        "latitude": lats
    })

fig, ax = plt.subplots(nrows=1, ncols=1,
                       subplot_kw={'projection': ccrs.PlateCarree()})
xarray_field.speed.plot(ax=ax)
sp = ax.streamplot(xarray_field["longitude"], xarray_field["latitude"], xarray_field["u_velocity"], xarray_field["v_velocity"], color="w")

plt.show()

Traceback

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Input In [5], in <cell line: 4>()
      1 fig, ax = plt.subplots(nrows=1, ncols=1,
      2                        subplot_kw={'projection': ccrs.PlateCarree()})
      3 xarray_field.speed.plot(ax=ax)
----> 4 sp = ax.streamplot(xarray_field["longitude"], xarray_field["latitude"], xarray_field["u_velocity"], xarray_field["v_velocity"], color="w")
      6 plt.show()

File ~/miniconda3/lib/python3.8/site-packages/cartopy/mpl/geoaxes.py:318, in _add_transform.<locals>.wrapper(self, *args, **kwargs)
    313     raise ValueError(f'Invalid transform: Spherical {func.__name__} '
    314                      'is not supported - consider using '
    315                      'PlateCarree/RotatedPole.')
    317 kwargs['transform'] = transform
--> 318 return func(self, *args, **kwargs)

File ~/miniconda3/lib/python3.8/site-packages/cartopy/mpl/geoaxes.py:2240, in GeoAxes.streamplot(self, x, y, u, v, **kwargs)
   2237 # Lazy load vector_scalar_to_grid due to the optional
   2238 # scipy dependency
   2239 from cartopy.vector_transform import vector_scalar_to_grid
-> 2240 gridded = vector_scalar_to_grid(t, self.projection, regrid_shape,
   2241                                 x, y, u, v, *scalars,
   2242                                 target_extent=target_extent)
   2243 x, y, u, v = gridded[:4]
   2244 # If scalar fields were regridded then replace the appropriate keyword
   2245 # arguments with the gridded arrays.

File ~/miniconda3/lib/python3.8/site-packages/cartopy/vector_transform.py:130, in vector_scalar_to_grid(src_crs, target_proj, regrid_shape, x, y, u, v, *scalars, **kwargs)
    127     nx = ny = regrid_shape
    128 if target_proj == src_crs:
    129     # Just immediately regrid, interpolate and return
--> 130     return _interpolate_to_grid(nx, ny, x, y, u, v, *scalars, **kwargs)
    132 # We need to transform the vectors from the source to target frame
    133 # Convert coordinates to the target projection.
    134 proj_xyz = target_proj.transform_points(src_crs, x, y)

File ~/miniconda3/lib/python3.8/site-packages/cartopy/vector_transform.py:57, in _interpolate_to_grid(nx, ny, x, y, *scalars, **kwargs)
     55 s_grid_tuple = tuple()
     56 for s in scalars:
---> 57     s_grid_tuple += (griddata(points, s.ravel(), (x_grid, y_grid),
     58                               method='linear'),)
     59 return (x_grid * xr + x0, y_grid * yr + y0) + s_grid_tuple

File ~/miniconda3/lib/python3.8/site-packages/xarray/core/common.py:239, in AttrAccessMixin.__getattr__(self, name)
    237         with suppress(KeyError):
    238             return source[name]
--> 239 raise AttributeError(
    240     f"{type(self).__name__!r} object has no attribute {name!r}"
    241 )

AttributeError: 'DataArray' object has no attribute 'ravel'
Full environment definition ### Operating system Linux mini 5.4.0-110-generic #124-Ubuntu SMP Thu Apr 14 19:46:19 UTC 2022 x86_64 x86_64 x86_64 GNU/Linux ### Cartopy version 0.20.2 ### conda list ``` # Name Version Build Channel _libgcc_mutex 0.1 conda_forge conda-forge _openmp_mutex 4.5 1_gnu conda-forge alsa-lib 1.2.3 h516909a_0 conda-forge anyio 3.5.0 py38h578d9bd_0 conda-forge appdirs 1.4.4 pyh9f0ad1d_0 conda-forge argon2-cffi 21.3.0 pyhd8ed1ab_0 conda-forge argon2-cffi-bindings 21.2.0 py38h0a891b7_2 conda-forge asttokens 2.0.5 pyhd8ed1ab_0 conda-forge async_generator 1.10 py_0 conda-forge attrs 21.4.0 pyhd8ed1ab_0 conda-forge babel 2.9.1 pyh44b312d_0 conda-forge backcall 0.2.0 pyh9f0ad1d_0 conda-forge backports 1.1 pyhd3eb1b0_0 backports.functools_lru_cache 1.6.4 pyhd8ed1ab_0 conda-forge beautifulsoup4 4.9.3 pyhb0f4dca_0 conda-forge binutils_impl_linux-64 2.36.1 h193b22a_2 conda-forge binutils_linux-64 2.36 hf3e587d_9 conda-forge black 22.3.0 pyhd8ed1ab_0 conda-forge bleach 5.0.0 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greglucas commented 2 years ago

Seems like a reasonable fix. Care to make a PR with that update?

axnsantana commented 2 years ago

Sure, I just create the PR #2050 I could create a test, but for that, I would need to import xarray, which would increase the library dependency. If you think the new test is still necessary, I will provide it.