π[BUG]: time averaging loses the time coordinate informations
ChenggongWang opened this issue Β· comments
Version
source - main
On which installation method(s) does this occur?
Source
Describe the issue
This bug is caused by code here and can be reproduced by following code.
import pandas as pd
import numpy as np
time = pd.date_range("2000-01-01", freq="h", periods=365 * 24)
ds = xr.Dataset({"foo": ("time", np.arange(365 * 24)), "time": time})
print('raw')
print(ds.time)
print('corrected resample')
print(ds.resample(time='1ME').mean(dim="time", keep_attrs=True, skipna=False).time)
print('current resample loses the time coordinate information')
print(ds.resample(time='1ME').mean(dim="time", keep_attrs=True, skipna=False, keepdims=True).time)
output
raw Size: 70kB array(['2000-01-01T00:00:00.000000000', '2000-01-01T01:00:00.000000000', '2000-01-01T02:00:00.000000000', ..., '2000-12-30T21:00:00.000000000', '2000-12-30T22:00:00.000000000', '2000-12-30T23:00:00.000000000'], dtype='datetime64[ns]') Coordinates: * time (time) datetime64[ns] 70kB 2000-01-01 ... 2000-12-30T23:00:00 corrected resample Size: 96B array(['2000-01-31T00:00:00.000000000', '2000-02-29T00:00:00.000000000', '2000-03-31T00:00:00.000000000', '2000-04-30T00:00:00.000000000', '2000-05-31T00:00:00.000000000', '2000-06-30T00:00:00.000000000', '2000-07-31T00:00:00.000000000', '2000-08-31T00:00:00.000000000', '2000-09-30T00:00:00.000000000', '2000-10-31T00:00:00.000000000', '2000-11-30T00:00:00.000000000', '2000-12-31T00:00:00.000000000'], dtype='datetime64[ns]') Coordinates: * time (time) datetime64[ns] 96B 2000-01-31 2000-02-29 ... 2000-12-31 current resample loses the time coordinate information Size: 96B array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]) Dimensions without coordinates: time
Suggestion: keepdims=True
should be removed.
Environment details
No response