diff --git a/latest/_modules/mpas_analysis/ocean/climatology_map_argo.html b/latest/_modules/mpas_analysis/ocean/climatology_map_argo.html index 1e2ce1a8b..5b73ea39f 100644 --- a/latest/_modules/mpas_analysis/ocean/climatology_map_argo.html +++ b/latest/_modules/mpas_analysis/ocean/climatology_map_argo.html @@ -541,7 +541,7 @@

Source code for mpas_analysis.ocean.climatology_map_argo

dsObs.coords['month'] = ('Time', np.array(dsObs['calmonth'], int)) # no meaningful year since this is already a climatology - dsObs.coords['year'] = ('Time', np.ones(dsObs.dims['Time'], int)) + dsObs.coords['year'] = ('Time', np.ones(dsObs.sizes['Time'], int)) dsObs = dsObs[[self.fieldName, 'month']] slices = [] diff --git a/latest/_modules/mpas_analysis/ocean/climatology_map_mld.html b/latest/_modules/mpas_analysis/ocean/climatology_map_mld.html index 10c41cb73..c6398e8ad 100644 --- a/latest/_modules/mpas_analysis/ocean/climatology_map_mld.html +++ b/latest/_modules/mpas_analysis/ocean/climatology_map_mld.html @@ -340,7 +340,7 @@

Source code for mpas_analysis.ocean.climatology_map_mld

dsObs.coords['month'] = ('Time', np.array(dsObs['calmonth'], int)) # no meaningful year since this is already a climatology - dsObs.coords['year'] = ('Time', np.ones(dsObs.dims['Time'], int)) + dsObs.coords['year'] = ('Time', np.ones(dsObs.sizes['Time'], int)) dsObs = dsObs[['mld', 'month']] return dsObs diff --git a/latest/_modules/mpas_analysis/ocean/streamfunction_moc.html b/latest/_modules/mpas_analysis/ocean/streamfunction_moc.html index d95f7c311..c5f4f0a73 100644 --- a/latest/_modules/mpas_analysis/ocean/streamfunction_moc.html +++ b/latest/_modules/mpas_analysis/ocean/streamfunction_moc.html @@ -1148,7 +1148,7 @@

Source code for mpas_analysis.ocean.streamfunction_moc

refTopDepth = dsMOCIn.depth.values # first, copy all computed data - for inIndex in range(dsMOCIn.dims['Time']): + for inIndex in range(dsMOCIn.sizes['Time']): mask = np.logical_and( dsMOCIn.year[inIndex].values == years, @@ -1324,7 +1324,7 @@

Source code for mpas_analysis.ocean.streamfunction_moc

dsMOCIn.load() # first, copy all computed data - for inIndex in range(dsMOCIn.dims['Time']): + for inIndex in range(dsMOCIn.sizes['Time']): mask = np.logical_and( dsMOCIn.year[inIndex].values == years, diff --git a/latest/_modules/mpas_analysis/ocean/time_series_ocean_regions.html b/latest/_modules/mpas_analysis/ocean/time_series_ocean_regions.html index c92a3d43f..41ab7e4f2 100644 --- a/latest/_modules/mpas_analysis/ocean/time_series_ocean_regions.html +++ b/latest/_modules/mpas_analysis/ocean/time_series_ocean_regions.html @@ -645,7 +645,7 @@

Source code for mpas_analysis.ocean.time_series_ocean_regions

startDate=startDate, endDate=endDate) as dsOut: - for inIndex in range(dsOut.dims['Time']): + for inIndex in range(dsOut.sizes['Time']): mask = numpy.logical_and( dsOut.year[inIndex].values == years, diff --git a/latest/_modules/mpas_analysis/ocean/time_series_transport.html b/latest/_modules/mpas_analysis/ocean/time_series_transport.html index 4ed340621..a2b4665db 100644 --- a/latest/_modules/mpas_analysis/ocean/time_series_transport.html +++ b/latest/_modules/mpas_analysis/ocean/time_series_transport.html @@ -375,7 +375,7 @@

Source code for mpas_analysis.ocean.time_series_transport

startDate=startDate, endDate=endDate) as dsOut: - for inIndex in range(dsOut.dims['Time']): + for inIndex in range(dsOut.sizes['Time']): mask = numpy.logical_and( dsOut.year[inIndex].values == years, diff --git a/latest/_modules/mpas_analysis/shared/climatology/climatology.html b/latest/_modules/mpas_analysis/shared/climatology/climatology.html index 49eea963b..29d669873 100644 --- a/latest/_modules/mpas_analysis/shared/climatology/climatology.html +++ b/latest/_modules/mpas_analysis/shared/climatology/climatology.html @@ -838,7 +838,7 @@

Source code for mpas_analysis.shared.climatology.climatology

cacheInfo = [] - cacheIndices = -1 * numpy.ones(ds.dims['Time'], int) + cacheIndices = -1 * numpy.ones(ds.sizes['Time'], int) monthsInDs = ds.month.values yearsInDs = ds.year.values @@ -910,7 +910,7 @@

Source code for mpas_analysis.shared.climatology.climatology

totalDays = dsYear.daysInMonth.sum(dim='Time').values - monthCount = dsYear.dims['Time'] + monthCount = dsYear.sizes['Time'] climatology = compute_climatology(dsYear, monthValues, calendar, maskVaries=False) diff --git a/latest/_modules/mpas_analysis/shared/generalized_reader/generalized_reader.html b/latest/_modules/mpas_analysis/shared/generalized_reader/generalized_reader.html index 765941b8a..951176768 100644 --- a/latest/_modules/mpas_analysis/shared/generalized_reader/generalized_reader.html +++ b/latest/_modules/mpas_analysis/shared/generalized_reader/generalized_reader.html @@ -258,7 +258,7 @@

Source code for mpas_analysis.shared.generalized_reader.generalized_reader# select only the data in the specified range of dates ds = ds.sel(Time=slice(startDate, endDate)) - if ds.dims['Time'] == 0: + if ds.sizes['Time'] == 0: raise ValueError('The data set contains no Time entries between ' 'dates {} and {}.'.format( days_to_datetime(startDate, calendar=calendar), diff --git a/latest/_modules/mpas_analysis/shared/io/mpas_reader.html b/latest/_modules/mpas_analysis/shared/io/mpas_reader.html index eb048a63e..eddf3c3ee 100644 --- a/latest/_modules/mpas_analysis/shared/io/mpas_reader.html +++ b/latest/_modules/mpas_analysis/shared/io/mpas_reader.html @@ -185,7 +185,7 @@

Source code for mpas_analysis.shared.io.mpas_reader

# select only the data in the specified range of dates ds = ds.sel(Time=slice(startDate, endDate)) - if ds.dims['Time'] == 0: + if ds.sizes['Time'] == 0: raise ValueError('The data set contains no Time entries between ' 'dates {} and {}.'.format( days_to_datetime(startDate, calendar=calendar),