auto_combine(datasets[, concat_dim, compat, …]) Attempt to auto-magically combine the given datasets into one.
Dataset.nbytes
Dataset.chunks Block dimensions for this dataset’s data or None if it’s not a dask array.
Dataset.all([dim]) Reduce this Dataset’s data by applying all along some dimension(s).
Dataset.any([dim]) Reduce this Dataset’s data by applying any along some dimension(s).
Dataset.argmax([dim, skipna]) Reduce this Dataset’s data by applying argmax along some dimension(s).
Dataset.argmin([dim, skipna]) Reduce this Dataset’s data by applying argmin along some dimension(s).
Dataset.max([dim, skipna]) Reduce this Dataset’s data by applying max along some dimension(s).
Dataset.min([dim, skipna]) Reduce this Dataset’s data by applying min along some dimension(s).
Dataset.mean([dim, skipna]) Reduce this Dataset’s data by applying mean along some dimension(s).
Dataset.median([dim, skipna]) Reduce this Dataset’s data by applying median along some dimension(s).
Dataset.prod([dim, skipna]) Reduce this Dataset’s data by applying prod along some dimension(s).
Dataset.sum([dim, skipna]) Reduce this Dataset’s data by applying sum along some dimension(s).
Dataset.std([dim, skipna]) Reduce this Dataset’s data by applying std along some dimension(s).
Dataset.var([dim, skipna]) Reduce this Dataset’s data by applying var along some dimension(s).
core.groupby.DatasetGroupBy.assign(**kwargs) Assign data variables by group.
core.groupby.DatasetGroupBy.assign_coords([…]) Assign coordinates by group.
core.groupby.DatasetGroupBy.first([skipna, …]) Return the first element of each group along the group dimension
core.groupby.DatasetGroupBy.last([skipna, …]) Return the last element of each group along the group dimension
core.groupby.DatasetGroupBy.fillna(value) Fill missing values in this object by group.
core.groupby.DatasetGroupBy.where(cond[, other]) Return elements from self or other depending on cond.
Dataset.argsort([axis, kind, order]) Returns the indices that would sort this array.
Dataset.clip([min, max, out]) Return an array whose values are limited to [min, max].
Dataset.conj() Complex-conjugate all elements.
Dataset.conjugate() Return the complex conjugate, element-wise.
Dataset.imag
Dataset.round(*args, **kwargs)
Dataset.real
Dataset.cumsum([dim, skipna]) Apply cumsum along some dimension of Dataset.
Dataset.cumprod([dim, skipna]) Apply cumprod along some dimension of Dataset.
Dataset.rank(dim[, pct, keep_attrs]) Ranks the data.
DataArray.ndim
DataArray.nbytes
DataArray.shape
DataArray.size
DataArray.dtype
DataArray.nbytes
DataArray.chunks Block dimensions for this array’s data or None if it’s not a dask array.
DataArray.astype(dtype[, order, casting, …]) Copy of the array, cast to a specified type.
DataArray.item(*args) Copy an element of an array to a standard Python scalar and return it.
DataArray.all([dim, axis]) Reduce this DataArray’s data by applying all along some dimension(s).
DataArray.any([dim, axis]) Reduce this DataArray’s data by applying any along some dimension(s).
DataArray.argmax([dim, axis, skipna]) Reduce this DataArray’s data by applying argmax along some dimension(s).
DataArray.argmin([dim, axis, skipna]) Reduce this DataArray’s data by applying argmin along some dimension(s).
DataArray.max([dim, axis, skipna]) Reduce this DataArray’s data by applying max along some dimension(s).
DataArray.min([dim, axis, skipna]) Reduce this DataArray’s data by applying min along some dimension(s).
DataArray.mean([dim, axis, skipna]) Reduce this DataArray’s data by applying mean along some dimension(s).
DataArray.median([dim, axis, skipna]) Reduce this DataArray’s data by applying median along some dimension(s).
DataArray.prod([dim, axis, skipna]) Reduce this DataArray’s data by applying prod along some dimension(s).
DataArray.sum([dim, axis, skipna]) Reduce this DataArray’s data by applying sum along some dimension(s).
DataArray.std([dim, axis, skipna]) Reduce this DataArray’s data by applying std along some dimension(s).
DataArray.var([dim, axis, skipna]) Reduce this DataArray’s data by applying var along some dimension(s).
core.groupby.DataArrayGroupBy.assign_coords([…]) Assign coordinates by group.
core.groupby.DataArrayGroupBy.first([…]) Return the first element of each group along the group dimension
core.groupby.DataArrayGroupBy.last([skipna, …]) Return the last element of each group along the group dimension
core.groupby.DataArrayGroupBy.fillna(value) Fill missing values in this object by group.
core.groupby.DataArrayGroupBy.where(cond[, …]) Return elements from self or other depending on cond.
DataArray.argsort([axis, kind, order]) Returns the indices that would sort this array.
DataArray.clip([min, max, out]) Return an array whose values are limited to [min, max].
DataArray.conj() Complex-conjugate all elements.
DataArray.conjugate() Return the complex conjugate, element-wise.
DataArray.imag
DataArray.searchsorted(v[, side, sorter]) Find indices where elements of v should be inserted in a to maintain order.
DataArray.round(*args, **kwargs)
DataArray.real
DataArray.T
DataArray.cumsum([dim, axis, skipna]) Apply cumsum along some dimension of DataArray.
DataArray.cumprod([dim, axis, skipna]) Apply cumprod along some dimension of DataArray.
DataArray.rank(dim, pct, keep_attrs) Ranks the data.
ufuncs.angle xarray specific variant of numpy.angle.
ufuncs.arccos xarray specific variant of numpy.arccos.
ufuncs.arccosh xarray specific variant of numpy.arccosh.
ufuncs.arcsin xarray specific variant of numpy.arcsin.
ufuncs.arcsinh xarray specific variant of numpy.arcsinh.
ufuncs.arctan xarray specific variant of numpy.arctan.
ufuncs.arctan2 xarray specific variant of numpy.arctan2.
ufuncs.arctanh xarray specific variant of numpy.arctanh.
ufuncs.ceil xarray specific variant of numpy.ceil.
ufuncs.conj xarray specific variant of numpy.conj.
ufuncs.copysign xarray specific variant of numpy.copysign.
ufuncs.cos xarray specific variant of numpy.cos.
ufuncs.cosh xarray specific variant of numpy.cosh.
ufuncs.deg2rad xarray specific variant of numpy.deg2rad.
ufuncs.degrees xarray specific variant of numpy.degrees.
ufuncs.exp xarray specific variant of numpy.exp.
ufuncs.expm1 xarray specific variant of numpy.expm1.
ufuncs.fabs xarray specific variant of numpy.fabs.
ufuncs.fix xarray specific variant of numpy.fix.
ufuncs.floor xarray specific variant of numpy.floor.
ufuncs.fmax xarray specific variant of numpy.fmax.
ufuncs.fmin xarray specific variant of numpy.fmin.
ufuncs.fmod xarray specific variant of numpy.fmod.
ufuncs.fmod xarray specific variant of numpy.fmod.
ufuncs.frexp xarray specific variant of numpy.frexp.
ufuncs.hypot xarray specific variant of numpy.hypot.
ufuncs.imag xarray specific variant of numpy.imag.
ufuncs.iscomplex xarray specific variant of numpy.iscomplex.
ufuncs.isfinite xarray specific variant of numpy.isfinite.
ufuncs.isinf xarray specific variant of numpy.isinf.
ufuncs.isnan xarray specific variant of numpy.isnan.
ufuncs.isreal xarray specific variant of numpy.isreal.
ufuncs.ldexp xarray specific variant of numpy.ldexp.
ufuncs.log xarray specific variant of numpy.log.
ufuncs.log10 xarray specific variant of numpy.log10.
ufuncs.log1p xarray specific variant of numpy.log1p.
ufuncs.log2 xarray specific variant of numpy.log2.
ufuncs.logaddexp xarray specific variant of numpy.logaddexp.
ufuncs.logaddexp2 xarray specific variant of numpy.logaddexp2.
ufuncs.logical_and xarray specific variant of numpy.logical_and.
ufuncs.logical_not xarray specific variant of numpy.logical_not.
ufuncs.logical_or xarray specific variant of numpy.logical_or.
ufuncs.logical_xor xarray specific variant of numpy.logical_xor.
ufuncs.maximum xarray specific variant of numpy.maximum.
ufuncs.minimum xarray specific variant of numpy.minimum.
ufuncs.nextafter xarray specific variant of numpy.nextafter.
ufuncs.rad2deg xarray specific variant of numpy.rad2deg.
ufuncs.radians xarray specific variant of numpy.radians.
ufuncs.real xarray specific variant of numpy.real.
ufuncs.rint xarray specific variant of numpy.rint.
ufuncs.sign xarray specific variant of numpy.sign.
ufuncs.signbit xarray specific variant of numpy.signbit.
ufuncs.sin xarray specific variant of numpy.sin.
ufuncs.sinh xarray specific variant of numpy.sinh.
ufuncs.sqrt xarray specific variant of numpy.sqrt.
ufuncs.square xarray specific variant of numpy.square.
ufuncs.tan xarray specific variant of numpy.tan.
ufuncs.tanh xarray specific variant of numpy.tanh.
ufuncs.trunc xarray specific variant of numpy.trunc.
plot.FacetGrid.map_dataarray(func, x, y, …) Apply a plotting function to a 2d facet’s subset of the data.
plot.FacetGrid.set_titles([template, …]) Draw titles either above each facet or on the grid margins.
plot.FacetGrid.set_ticks([max_xticks, …]) Set and control tick behavior
plot.FacetGrid.map(func, *args, **kwargs) Apply a plotting function to each facet’s subset of the data.
CFTimeIndex.shift(n, freq) Shift the CFTimeIndex a multiple of the given frequency.
CFTimeIndex.to_datetimeindex([unsafe]) If possible, convert this index to a pandas.DatetimeIndex.
CFTimeIndex.strftime(date_format) Return an Index of formatted strings specified by date_format, which supports the same string format as the python standard library.