issues: 503583044

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503583044 MDU6SXNzdWU1MDM1ODMwNDQ= 3379 `ds.to_zarr(mode="a", append_dim="time")` not capturing any time steps under Hours 48155582 closed 0     3 2019-10-07T17:17:06Z 2024-05-03T18:34:50Z 2024-05-03T18:34:50Z NONE      

MCVE Code Sample

```python import datetime

import xarray as xr

date = datetime.datetime(2019, 1, 1, 1, 10)

Reading in 2 min time stepped MRMS data

ds = xr.open_rasterio(dir_path) ds.name = "mrms" ds["time"] = date ds = ds.expand_dims("time") ds = ds.to_dataset()

ds.to_zarr("fin_zarr", compute=False, mode="w-")

date = datetime.datetime(2019, 1, 1, 1, 12)

Reading in 2 min time stepped MRMS data

This can be the same file since we are adding time manually

ds = xr.open_rasterio(dir_path) ds.name = "mrms" ds["time"] = date ds = ds.expand_dims("time") ds = ds.to_dataset()

ds.to_zarr("fin_zarr", compute=False, mode="a", append_dim="time") ```

Expected Output

<xarray.Dataset> Dimensions: (band: 1, time: 1, x: 7000, y: 3500) Coordinates: * band (band) int64 1 * y (y) float64 55.0 54.99 54.98 54.97 ... 20.04 20.03 20.02 20.01 * x (x) float64 -130.0 -130.0 -130.0 -130.0 ... -60.03 -60.02 -60.01 * time (time) datetime64[ns] 2019-01-01T01:10:00 Data variables: mrms (time, band, y, x) uint8 255 255 255 255 255 ... 255 255 255 255 appended by this in a ds.to_zarr() <xarray.Dataset> Dimensions: (band: 1, time: 1, x: 7000, y: 3500) Coordinates: * band (band) int64 1 * y (y) float64 55.0 54.99 54.98 54.97 ... 20.04 20.03 20.02 20.01 * x (x) float64 -130.0 -130.0 -130.0 -130.0 ... -60.03 -60.02 -60.01 * time (time) datetime64[ns] 2019-01-01T01:12:00 Data variables: mrms (time, band, y, x) uint8 255 255 255 255 255 ... 255 255 255 255 should look like below <xarray.Dataset> Dimensions: (band: 1, time: 2, x: 7000, y: 3500) Coordinates: * band (band) int64 1 * time (time) datetime64[ns] 2019-01-01T01:10:00 2019-01-01T01:12:00 * x (x) float64 -130.0 -130.0 -130.0 -130.0 ... -60.03 -60.02 -60.01 * y (y) float64 55.0 54.99 54.98 54.97 ... 20.04 20.03 20.02 20.01 Data variables: mrms (time, band, y, x) uint8 dask.array<shape=(2, 1, 3500, 7000), chunksize=(1, 1, 438, 1750)>

Problem Description

The outout looks like this: <xarray.Dataset> Dimensions: (band: 1, time: 2, x: 7000, y: 3500) Coordinates: * band (band) int64 1 * time (time) datetime64[ns] 2019-01-01T01:10:00 2019-01-01T01:10:00 * x (x) float64 -130.0 -130.0 -130.0 -130.0 ... -60.03 -60.02 -60.01 * y (y) float64 55.0 54.99 54.98 54.97 ... 20.04 20.03 20.02 20.01 Data variables: mrms (time, band, y, x) uint8 dask.array<shape=(2, 1, 3500, 7000), chunksize=(1, 1, 438, 1750)>

Where the minutes are repeated for the whole hour until a new hour is appended. It seems to not be handling minutes correctly.

Output of xr.show_versions()

# Paste the output here xr.show_versions() here INSTALLED VERSIONS ------------------ commit: None python: 3.7.3 (default, Mar 27 2019, 16:54:48) [Clang 4.0.1 (tags/RELEASE_401/final)] python-bits: 64 OS: Darwin OS-release: 18.7.0 machine: x86_64 processor: i386 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: en_US.UTF-8 libhdf5: 1.10.4 libnetcdf: 4.6.1 xarray: 0.12.3 pandas: 0.24.2 numpy: 1.16.4 scipy: 1.3.0 netCDF4: 1.4.2 pydap: None h5netcdf: None h5py: 2.9.0 Nio: None zarr: 2.3.2 cftime: 1.0.3.4 nc_time_axis: None PseudoNetCDF: None rasterio: 1.0.21 cfgrib: None iris: None bottleneck: 1.2.1 dask: 2.1.0 distributed: 2.1.0 matplotlib: 3.1.0 cartopy: 0.17.0 seaborn: 0.9.0 numbagg: None setuptools: 41.0.1 pip: 19.1.1 conda: 4.7.12 pytest: 5.0.1 IPython: 7.6.1 sphinx: 2.1.2 
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