issues: 599583548

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599583548 MDU6SXNzdWU1OTk1ODM1NDg= 3969 [BUG] xr.merge converts automatically variables into float64 31700619 closed 0     2 2020-04-14T13:42:48Z 2020-12-07T16:42:13Z 2020-12-07T16:42:13Z CONTRIBUTOR      

Merging two datasets using xr.merge converts all the variables to float64 type.

MCVE Code Sample

``` import numpy as np import xarray as xr

x = np.arange(0,10) y = np.arange(0,10) time = [0,1] data = np.zeros((10,10), dtype=bool) dataArray1 = xr.DataArray([data], coords={'time': [time[0]], 'y': y, 'x': x}, dims=['time', 'y', 'x']) dataArray2 = xr.DataArray([data], coords={'time': [time[1]], 'y': y, 'x': x}, dims=['time', 'y', 'x']) dataArray1 = dataArray1.to_dataset(name='data') dataArray2 = dataArray2.to_dataset(name='data') xr.merge([dataArray1,dataArray2]) ```

Current Output

<xarray.Dataset> Dimensions: (time: 2, x: 10, y: 10) Coordinates: * time (time) int64 0 1 * y (y) int64 0 1 2 3 4 5 6 7 8 9 * x (x) int64 0 1 2 3 4 5 6 7 8 9 Data variables: data (time, y, x) float64 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0

Expected Output

<xarray.Dataset> Dimensions: (time: 2, x: 10, y: 10) Coordinates: * time (time) int64 0 1 * y (y) int64 0 1 2 3 4 5 6 7 8 9 * x (x) int64 0 1 2 3 4 5 6 7 8 9 Data variables: data (time, y, x) bool False False False False False ... False False False False False

Problem Description

The merge function should not convert data types into float64. In this case is increasing the memory usage compared to what is expected.

Versions

INSTALLED VERSIONS ------------------ commit: None python: 3.6.8 (default, May 7 2019, 14:58:50) [GCC 8.3.0] python-bits: 64 OS: Linux OS-release: 4.15.0-88-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: C.UTF-8 LOCALE: en_US.UTF-8 libhdf5: None libnetcdf: None xarray: 0.15.1 pandas: 1.0.3 numpy: 1.18.2 scipy: None netCDF4: None pydap: None h5netcdf: None h5py: None Nio: None zarr: None cftime: None nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: None distributed: None matplotlib: 3.2.0 cartopy: None seaborn: None numbagg: None setuptools: 46.1.3 pip: 9.0.1 conda: None pytest: None IPython: 7.13.0 sphinx: 2.4.3
 
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   completed 13221727 issue

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