I am trying to resample a DataArray from hourly to daily outputs by using DataArray.resample() from xarray.
First, I tried the following:
pm25.resample(dim='Time', freq="1D", how='mean')
which gave me:
TypeError: resample() no longer supports the `how` or `dim` arguments.
Instead call methods on resample objects, e.g., data.resample(time='1D').mean()
So, I tried the following:
pm25_daily = pm25.resample(Time='1D').mean()
But, I get the following error:
Traceback (most recent call last):
File "/Users/jacob/opt/anaconda3/envs/WRF-1/lib/python3.7/site-packages/IPython/core/interactiveshell.py", line 3319, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-140-4ba4bc53a1c2>", line 1, in <module>
pm25.resample(Time='1D').mean(dim='Time')
File "/Users/jacob/opt/anaconda3/envs/WRF-1/lib/python3.7/site-packages/xarray/core/common.py", line 1039, in resample
if isinstance(self.indexes[dim_name], CFTimeIndex):
File "/Users/jacob/opt/anaconda3/envs/WRF-1/lib/python3.7/site-packages/xarray/core/indexes.py", line 36, in __getitem__
return self._indexes[key]
KeyError: 'Time'
I also tried the following
pm25_daily = pm25.resample(Time='1D').mean(dim='Time)
and I got the same error. Below is what my DataArray looks like along with the dimensions and coordinates.
<xarray.DataArray 'PM2_5_DRY' (Time: 283, bottom_top: 50, south_north: 115, west_east: 115)>
array([[[[1.163326, ..., 1.10779 ],
...,
[1.145038, ..., 1.167824]],
...,
[[0.090804, ..., 0.090798],
...,
[0.090985, ..., 0.091001]]],
...,
[[0.024746, ..., 0.02613 ],
...,
[0.025582, ..., 0.026747]]]], dtype=float32)
Coordinates:
XLAT (Time, south_north, west_east) float32 ...
XLONG (Time, south_north, west_east) float32 ...
XTIME (Time) datetime64[ns] ...
Dimensions without coordinates: Time, bottom_top, south_north, west_east
Attributes:
FieldType: 104
MemoryOrder: XYZ
description: pm2.5 aerosol dry mass
units: ug m^-3
stagger:
The dimensions of the DataArray has 'Time' in it. Where am I going wrong?
Thanks!