Closed
Description
Panel is removed from pandas (as a result of the success of xarray! 😁 ), but we're still attempting to call it from .to_pandas()
MCVE Code Sample
# Your code here
In [4]: import numpy as np
In [1]: import xarray as xr
In [5]: xr.DataArray(np.random.rand(2,3,4)).to_pandas()
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-5-7d1b667d5cac> in <module>
----> 1 xr.DataArray(np.random.rand(2,3,4)).to_pandas()
~/workspace/corpfin/.venv/lib64/python3.6/site-packages/xarray/core/dataarray.py in to_pandas(self)
2267 )
2268 indexes = [self.get_index(dim) for dim in self.dims]
-> 2269 return constructor(self.values, *indexes)
2270
2271 def to_dataframe(self, name: Hashable = None) -> pd.DataFrame:
TypeError: object() takes no parameters
Expected Output
Either a MultiIndexed DataFrame or a proper error (4D gives ValueError: cannot convert arrays with 4 dimensions into pandas objects)
Output of xr.show_versions()
INSTALLED VERSIONS ------------------ commit: None python: 3.7.3 | packaged by conda-forge | (default, Jul 1 2019, 21:52:21) [GCC 7.3.0] python-bits: 64 OS: Linux OS-release: ... machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.utf8 LOCALE: en_US.UTF-8 libhdf5: 1.10.5 libnetcdf: 4.7.1
xarray: 0.15.0
pandas: 1.0.1
numpy: 1.17.3
scipy: 1.3.2
netCDF4: 1.5.3
pydap: None
h5netcdf: 0.7.4
h5py: 2.10.0
Nio: None
zarr: None
cftime: 1.0.4.2
nc_time_axis: None
PseudoNetCDF: None
rasterio: None
cfgrib: None
iris: None
bottleneck: 1.2.1
dask: 2.7.0
distributed: 2.7.0
matplotlib: 3.1.2
cartopy: None
seaborn: 0.9.0
numbagg: installed
setuptools: 41.6.0.post20191101
pip: 19.3.1
conda: None
pytest: 5.2.2
IPython: 7.9.0
sphinx: 2.2.1