issues: 681627420

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id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
681627420 MDU6SXNzdWU2ODE2Mjc0MjA= 4352 da.sum(min_count=1) errors for integer data 10194086 closed 0     1 2020-08-19T07:52:35Z 2020-10-02T09:28:27Z 2020-10-02T09:28:27Z MEMBER      

What happened: da.sum(min_count=1) returns a TypeError if da has an integer dtype. Of course min_count is not necessary for integer data as it cannot contain NaN.

What you expected to happen: min_count should be ignored

Minimal Complete Verifiable Example:

python import xarray as xr da = xr.DataArray([[1, 2, 3], [4, 5, 6]]) da.sum(min_count=1)

Anything else we need to know?:

Full traceback

```python In [37]: da.sum(min_count=1) --------------------------------------------------------------------------- TypeError Traceback (most recent call last) <ipython-input-37-817bfdfe2211> in <module> ----> 1 da.sum(min_count=1) ~/code/xarray/xarray/core/common.py in wrapped_func(self, dim, axis, skipna, **kwargs) 44 45 def wrapped_func(self, dim=None, axis=None, skipna=None, **kwargs): ---> 46 return self.reduce(func, dim, axis, skipna=skipna, **kwargs) 47 48 else: ~/code/xarray/xarray/core/dataarray.py in reduce(self, func, dim, axis, keep_attrs, keepdims, **kwargs) 2336 """ 2337 -> 2338 var = self.variable.reduce(func, dim, axis, keep_attrs, keepdims, **kwargs) 2339 return self._replace_maybe_drop_dims(var) 2340 ~/code/xarray/xarray/core/variable.py in reduce(self, func, dim, axis, keep_attrs, keepdims, allow_lazy, **kwargs) 1591 data = func(input_data, axis=axis, **kwargs) 1592 else: -> 1593 data = func(input_data, **kwargs) 1594 1595 if getattr(data, "shape", ()) == self.shape: ~/code/xarray/xarray/core/duck_array_ops.py in f(values, axis, skipna, **kwargs) 310 311 try: --> 312 return func(values, axis=axis, **kwargs) 313 except AttributeError: 314 if not isinstance(values, dask_array_type): ~/code/xarray/xarray/core/duck_array_ops.py in f(*args, **kwargs) 46 else: 47 wrapped = getattr(eager_module, name) ---> 48 return wrapped(*args, **kwargs) 49 50 else: <__array_function__ internals> in sum(*args, **kwargs) TypeError: _sum_dispatcher() got an unexpected keyword argument 'min_count' ```

Environment:

Output of <tt>xr.show_versions()</tt> INSTALLED VERSIONS ------------------ commit: a7fb5a9fa1a2b829181ea9e4986b959f315350dd 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: 5.4.0-42-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: en_US.UTF-8 libhdf5: 1.10.6 libnetcdf: 4.7.4 xarray: 0.15.2.dev64+g2542a63f pandas: 0.25.3 numpy: 1.17.3 scipy: 1.3.1 netCDF4: 1.5.4 pydap: installed h5netcdf: 0.7.4 h5py: 2.10.0 Nio: None zarr: 2.3.2 cftime: 1.0.4.2 nc_time_axis: None PseudoNetCDF: installed rasterio: 1.1.0 cfgrib: 0.9.5.4 iris: None bottleneck: 1.2.1 dask: 2.6.0 distributed: 2.6.0 matplotlib: 3.3.1 cartopy: 0.18.0 seaborn: 0.9.0 numbagg: None pint: None setuptools: 49.6.0.post20200814 pip: 19.3.1 conda: None pytest: 5.2.2 IPython: 7.17.0 sphinx: None 
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