html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue https://github.com/pydata/xarray/issues/2191#issuecomment-395067197,https://api.github.com/repos/pydata/xarray/issues/2191,395067197,MDEyOklzc3VlQ29tbWVudDM5NTA2NzE5Nw==,31460695,2018-06-06T13:25:11Z,2018-06-06T13:25:11Z,NONE,"Yes, when open_mfdataset decides to convert to CFTime this is much faster. When time is in datetime64, I get: ``` --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) in () 9 dss = xr.open_mfdataset(files,decode_times=True,autoclose=True) 10 #month_start = [DatetimeNoLeap(date.dt.year, date.dt.month, 1) for date in dss.time] ---> 11 month_start = [DatetimeNoLeap(date.year, date.month, 1) for date in dss.time.values] 12 #month_start = [DatetimeNoLeap(yr, mon, 1) for yr,mon in zip(dss.time.dt.year,dss.time.dt.month)] 13 #break in (.0) 9 dss = xr.open_mfdataset(files,decode_times=True,autoclose=True) 10 #month_start = [DatetimeNoLeap(date.dt.year, date.dt.month, 1) for date in dss.time] ---> 11 month_start = [DatetimeNoLeap(date.year, date.month, 1) for date in dss.time.values] 12 #month_start = [DatetimeNoLeap(yr, mon, 1) for yr,mon in zip(dss.time.dt.year,dss.time.dt.month)] 13 #break AttributeError: 'numpy.datetime64' object has no attribute 'year' ``` You can see I made a feeble attempt to fix it to work for all the CMIP5 calendars, but is just as slow. Any suggestions?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,327089588 https://github.com/pydata/xarray/issues/2191#issuecomment-394890878,https://api.github.com/repos/pydata/xarray/issues/2191,394890878,MDEyOklzc3VlQ29tbWVudDM5NDg5MDg3OA==,31460695,2018-06-05T23:20:00Z,2018-06-05T23:20:00Z,NONE,"@spencerkclark thanks! I hadn't figured out that particular workaround, but it works, albeit quite slow. For now it will get me to the next step, but just changing to first-of-the-month takes longer than regridding all models to a common grid!","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,327089588 https://github.com/pydata/xarray/issues/2191#issuecomment-394827475,https://api.github.com/repos/pydata/xarray/issues/2191,394827475,MDEyOklzc3VlQ29tbWVudDM5NDgyNzQ3NQ==,31460695,2018-06-05T19:15:09Z,2018-06-05T19:15:09Z,NONE,"I am trying to combine the monthly CMIP5 rcp85 ts datasets (go past 2064AD) with the myriad calendars, so I love the new CFTimeIndex! But I need resample(time='MS') in order to force them all to start on the first of each month thanks!","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,327089588