# Dataset | [`Dataset`](../generated/xarray.Dataset.html.md#xarray.Dataset)([data_vars, coords, attrs]) | A multi-dimensional, in memory, array database. | |-------------------------------------------------------------------------------------------------------|---------------------------------------------------| ## Attributes | [`Dataset.dims`](../generated/xarray.Dataset.dims.html.md#xarray.Dataset.dims) | Mapping from dimension names to lengths. | |-----------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------| | [`Dataset.sizes`](../generated/xarray.Dataset.sizes.html.md#xarray.Dataset.sizes) | Mapping from dimension names to lengths. | | [`Dataset.dtypes`](../generated/xarray.Dataset.dtypes.html.md#xarray.Dataset.dtypes) | Mapping from data variable names to dtypes. | | [`Dataset.data_vars`](../generated/xarray.Dataset.data_vars.html.md#xarray.Dataset.data_vars) | Dictionary of DataArray objects corresponding to data variables | | [`Dataset.coords`](../generated/xarray.Dataset.coords.html.md#xarray.Dataset.coords) | Mapping of [`DataArray`](../generated/xarray.DataArray.html.md#xarray.DataArray) objects corresponding to coordinate variables. | | [`Dataset.attrs`](../generated/xarray.Dataset.attrs.html.md#xarray.Dataset.attrs) | Dictionary of global attributes on this dataset | | [`Dataset.encoding`](../generated/xarray.Dataset.encoding.html.md#xarray.Dataset.encoding) | Dictionary of global encoding attributes on this dataset | | [`Dataset.indexes`](../generated/xarray.Dataset.indexes.html.md#xarray.Dataset.indexes) | Mapping of pandas.Index objects used for label based indexing. | | [`Dataset.xindexes`](../generated/xarray.Dataset.xindexes.html.md#xarray.Dataset.xindexes) | Mapping of `Index` objects used for label based indexing. | | [`Dataset.chunks`](../generated/xarray.Dataset.chunks.html.md#xarray.Dataset.chunks) | Mapping from dimension names to block lengths for this dataset's data. | | [`Dataset.chunksizes`](../generated/xarray.Dataset.chunksizes.html.md#xarray.Dataset.chunksizes) | Mapping from dimension names to block lengths for this dataset's data. | | [`Dataset.nbytes`](../generated/xarray.Dataset.nbytes.html.md#xarray.Dataset.nbytes) | Total bytes consumed by the data arrays of all variables in this dataset. | ## Dictionary interface Datasets implement the mapping interface with keys given by variable names and values given by `DataArray` objects. | [`Dataset.__getitem__`](../generated/xarray.Dataset.__getitem__.html.md#xarray.Dataset.__getitem__)(key) | Access variables or coordinates of this dataset as a [`DataArray`](../generated/xarray.DataArray.html.md#xarray.DataArray) or a subset of variables or a indexed dataset. | |-------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | [`Dataset.__setitem__`](../generated/xarray.Dataset.__setitem__.html.md#xarray.Dataset.__setitem__)(key, value) | Add an array to this dataset. | | [`Dataset.__delitem__`](../generated/xarray.Dataset.__delitem__.html.md#xarray.Dataset.__delitem__)(key) | Remove a variable from this dataset. | | [`Dataset.update`](../generated/xarray.Dataset.update.html.md#xarray.Dataset.update)(other) | Update this dataset's variables with those from another dataset. | | [`Dataset.get`](../generated/xarray.Dataset.get.html.md#xarray.Dataset.get)(k[,d]) | | | [`Dataset.items`](../generated/xarray.Dataset.items.html.md#xarray.Dataset.items)() | | | [`Dataset.keys`](../generated/xarray.Dataset.keys.html.md#xarray.Dataset.keys)() | | | [`Dataset.values`](../generated/xarray.Dataset.values.html.md#xarray.Dataset.values)() | | ## Dataset contents | [`Dataset.copy`](../generated/xarray.Dataset.copy.html.md#xarray.Dataset.copy)([deep, data]) | Returns a copy of this dataset. | |---------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------| | [`Dataset.assign`](../generated/xarray.Dataset.assign.html.md#xarray.Dataset.assign)([variables]) | Assign new data variables to a Dataset, returning a new object with all the original variables in addition to the new ones. | | [`Dataset.assign_coords`](../generated/xarray.Dataset.assign_coords.html.md#xarray.Dataset.assign_coords)([coords]) | Assign new coordinates to this object. | | [`Dataset.assign_attrs`](../generated/xarray.Dataset.assign_attrs.html.md#xarray.Dataset.assign_attrs)(\*args, \*\*kwargs) | Assign new attrs to this object. | | [`Dataset.pipe`](../generated/xarray.Dataset.pipe.html.md#xarray.Dataset.pipe)(func, \*args, \*\*kwargs) | Apply `func(self, *args, **kwargs)` | | [`Dataset.merge`](../generated/xarray.Dataset.merge.html.md#xarray.Dataset.merge)(other[, overwrite_vars, ...]) | Merge the arrays of two datasets into a single dataset. | | [`Dataset.rename`](../generated/xarray.Dataset.rename.html.md#xarray.Dataset.rename)([name_dict]) | Returns an object with renamed variables, coordinates and dimensions. | | [`Dataset.rename_vars`](../generated/xarray.Dataset.rename_vars.html.md#xarray.Dataset.rename_vars)([name_dict]) | Returns an object with renamed variables including coordinates | | [`Dataset.rename_dims`](../generated/xarray.Dataset.rename_dims.html.md#xarray.Dataset.rename_dims)([dims_dict]) | Returns an object with renamed dimensions only. | | [`Dataset.swap_dims`](../generated/xarray.Dataset.swap_dims.html.md#xarray.Dataset.swap_dims)([dims_dict]) | Returns a new object with swapped dimensions. | | [`Dataset.expand_dims`](../generated/xarray.Dataset.expand_dims.html.md#xarray.Dataset.expand_dims)([dim, axis, ...]) | Return a new object with an additional axis (or axes) inserted at the corresponding position in the array shape. | | [`Dataset.drop_vars`](../generated/xarray.Dataset.drop_vars.html.md#xarray.Dataset.drop_vars)(names, \*[, errors]) | Drop variables from this dataset. | | [`Dataset.drop_indexes`](../generated/xarray.Dataset.drop_indexes.html.md#xarray.Dataset.drop_indexes)(coord_names, \*[, errors]) | Drop the indexes assigned to the given coordinates. | | [`Dataset.drop_duplicates`](../generated/xarray.Dataset.drop_duplicates.html.md#xarray.Dataset.drop_duplicates)(dim, \*[, keep]) | Returns a new Dataset with duplicate dimension values removed. | | [`Dataset.drop_dims`](../generated/xarray.Dataset.drop_dims.html.md#xarray.Dataset.drop_dims)(drop_dims, \*[, errors]) | Drop dimensions and associated variables from this dataset. | | [`Dataset.drop_encoding`](../generated/xarray.Dataset.drop_encoding.html.md#xarray.Dataset.drop_encoding)() | Return a new Dataset without encoding on the dataset or any of its variables/coords. | | [`Dataset.drop_attrs`](../generated/xarray.Dataset.drop_attrs.html.md#xarray.Dataset.drop_attrs)(\*[, deep]) | Removes all attributes from the Dataset and its variables. | | [`Dataset.set_coords`](../generated/xarray.Dataset.set_coords.html.md#xarray.Dataset.set_coords)(names) | Given names of one or more variables, set them as coordinates | | [`Dataset.reset_coords`](../generated/xarray.Dataset.reset_coords.html.md#xarray.Dataset.reset_coords)([names, drop]) | Given names of coordinates, reset them to become variables | | [`Dataset.convert_calendar`](../generated/xarray.Dataset.convert_calendar.html.md#xarray.Dataset.convert_calendar)(calendar[, dim, ...]) | Convert the Dataset to another calendar. | | [`Dataset.interp_calendar`](../generated/xarray.Dataset.interp_calendar.html.md#xarray.Dataset.interp_calendar)(target[, dim]) | Interpolates the Dataset to another calendar based on decimal year measure. | | [`Dataset.get_index`](../generated/xarray.Dataset.get_index.html.md#xarray.Dataset.get_index)(key) | Get an index for a dimension, with fall-back to a default RangeIndex | ## Comparisons | [`Dataset.equals`](../generated/xarray.Dataset.equals.html.md#xarray.Dataset.equals)(other) | Two Datasets are equal if they have matching variables and coordinates, all of which are equal. | |------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------| | [`Dataset.identical`](../generated/xarray.Dataset.identical.html.md#xarray.Dataset.identical)(other) | Like equals, but also checks all dataset attributes, the attributes on all variables and coordinates, and indexes. | | [`Dataset.broadcast_equals`](../generated/xarray.Dataset.broadcast_equals.html.md#xarray.Dataset.broadcast_equals)(other) | Two Datasets are broadcast equal if they are equal after broadcasting all variables against each other. | ## Indexing | [`Dataset.loc`](../generated/xarray.Dataset.loc.html.md#xarray.Dataset.loc) | Attribute for location based indexing. | |-----------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | [`Dataset.isel`](../generated/xarray.Dataset.isel.html.md#xarray.Dataset.isel)([indexers, drop, missing_dims]) | Returns a new dataset with each array indexed along the specified dimension(s). | | [`Dataset.sel`](../generated/xarray.Dataset.sel.html.md#xarray.Dataset.sel)([indexers, method, tolerance, drop]) | Returns a new dataset with each array indexed by tick labels along the specified dimension(s). | | [`Dataset.drop_sel`](../generated/xarray.Dataset.drop_sel.html.md#xarray.Dataset.drop_sel)([labels, errors]) | Drop index labels from this dataset. | | [`Dataset.drop_isel`](../generated/xarray.Dataset.drop_isel.html.md#xarray.Dataset.drop_isel)([indexers]) | Drop index positions from this Dataset. | | [`Dataset.head`](../generated/xarray.Dataset.head.html.md#xarray.Dataset.head)([indexers]) | Returns a new dataset with the first n values of each array for the specified dimension(s). | | [`Dataset.tail`](../generated/xarray.Dataset.tail.html.md#xarray.Dataset.tail)([indexers]) | Returns a new dataset with the last n values of each array for the specified dimension(s). | | [`Dataset.thin`](../generated/xarray.Dataset.thin.html.md#xarray.Dataset.thin)([indexers]) | Returns a new dataset with each array indexed along every n-th value for the specified dimension(s) | | [`Dataset.squeeze`](../generated/xarray.Dataset.squeeze.html.md#xarray.Dataset.squeeze)([dim, drop, axis]) | Return a new object with squeezed data. | | [`Dataset.interp`](../generated/xarray.Dataset.interp.html.md#xarray.Dataset.interp)([coords, method, ...]) | Interpolate a Dataset onto new coordinates. | | [`Dataset.interp_like`](../generated/xarray.Dataset.interp_like.html.md#xarray.Dataset.interp_like)(other[, method, ...]) | Interpolate this object onto the coordinates of another object. | | [`Dataset.reindex`](../generated/xarray.Dataset.reindex.html.md#xarray.Dataset.reindex)([indexers, method, ...]) | Conform this object onto a new set of indexes, filling in missing values with `fill_value`. | | [`Dataset.reindex_like`](../generated/xarray.Dataset.reindex_like.html.md#xarray.Dataset.reindex_like)(other[, method, ...]) | Conform this object onto the indexes of another object, for indexes which the objects share. | | [`Dataset.set_index`](../generated/xarray.Dataset.set_index.html.md#xarray.Dataset.set_index)([indexes, append]) | Set Dataset (multi-)indexes using one or more existing coordinates or variables. | | [`Dataset.reset_index`](../generated/xarray.Dataset.reset_index.html.md#xarray.Dataset.reset_index)(dims_or_levels, \*[, drop]) | Reset the specified index(es) or multi-index level(s). | | [`Dataset.set_xindex`](../generated/xarray.Dataset.set_xindex.html.md#xarray.Dataset.set_xindex)(coord_names[, index_cls]) | Set a new, Xarray-compatible index from one or more existing coordinate(s). | | [`Dataset.reorder_levels`](../generated/xarray.Dataset.reorder_levels.html.md#xarray.Dataset.reorder_levels)([dim_order]) | Rearrange index levels using input order. | | [`Dataset.query`](../generated/xarray.Dataset.query.html.md#xarray.Dataset.query)([queries, parser, engine, ...]) | Return a new dataset with each array indexed along the specified dimension(s), where the indexers are given as strings containing Python expressions to be evaluated against the data variables in the dataset. | ## Missing value handling | [`Dataset.isnull`](../generated/xarray.Dataset.isnull.html.md#xarray.Dataset.isnull)([keep_attrs]) | Test each value in the array for whether it is a missing value. | |----------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------| | [`Dataset.notnull`](../generated/xarray.Dataset.notnull.html.md#xarray.Dataset.notnull)([keep_attrs]) | Test each value in the array for whether it is not a missing value. | | [`Dataset.combine_first`](../generated/xarray.Dataset.combine_first.html.md#xarray.Dataset.combine_first)(other) | Combine two Datasets, default to data_vars of self. | | [`Dataset.count`](../generated/xarray.Dataset.count.html.md#xarray.Dataset.count)([dim, keep_attrs]) | Reduce this Dataset's data by applying `count` along some dimension(s). | | [`Dataset.dropna`](../generated/xarray.Dataset.dropna.html.md#xarray.Dataset.dropna)(dim, \*[, how, thresh, subset]) | Returns a new dataset with dropped labels for missing values along the provided dimension. | | [`Dataset.fillna`](../generated/xarray.Dataset.fillna.html.md#xarray.Dataset.fillna)(value) | Fill missing values in this object. | | [`Dataset.ffill`](../generated/xarray.Dataset.ffill.html.md#xarray.Dataset.ffill)(dim[, limit]) | Fill NaN values by propagating values forward | | [`Dataset.bfill`](../generated/xarray.Dataset.bfill.html.md#xarray.Dataset.bfill)(dim[, limit]) | Fill NaN values by propagating values backward | | [`Dataset.interpolate_na`](../generated/xarray.Dataset.interpolate_na.html.md#xarray.Dataset.interpolate_na)([dim, method, limit, ...]) | Fill in NaNs by interpolating according to different methods. | | [`Dataset.where`](../generated/xarray.Dataset.where.html.md#xarray.Dataset.where)(cond[, other, drop]) | Filter elements from this object according to a condition. | | [`Dataset.isin`](../generated/xarray.Dataset.isin.html.md#xarray.Dataset.isin)(test_elements) | Tests each value in the array for whether it is in test elements. | ## Computation | [`Dataset.map`](../generated/xarray.Dataset.map.html.md#xarray.Dataset.map)(func[, keep_attrs, args]) | Apply a function to each data variable in this dataset | |-------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------| | [`Dataset.reduce`](../generated/xarray.Dataset.reduce.html.md#xarray.Dataset.reduce)(func[, dim, keep_attrs, ...]) | Reduce this dataset by applying func along some dimension(s). | | [`Dataset.groupby`](../generated/xarray.Dataset.groupby.html.md#xarray.Dataset.groupby)([group, squeeze, ...]) | Returns a DatasetGroupBy object for performing grouped operations. | | [`Dataset.groupby_bins`](../generated/xarray.Dataset.groupby_bins.html.md#xarray.Dataset.groupby_bins)(group, bins[, right, ...]) | Returns a DatasetGroupBy object for performing grouped operations. | | [`Dataset.rolling`](../generated/xarray.Dataset.rolling.html.md#xarray.Dataset.rolling)([dim, min_periods, center]) | Rolling window object for Datasets. | | [`Dataset.rolling_exp`](../generated/xarray.Dataset.rolling_exp.html.md#xarray.Dataset.rolling_exp)([window, window_type]) | Exponentially-weighted moving window. | | [`Dataset.cumulative`](../generated/xarray.Dataset.cumulative.html.md#xarray.Dataset.cumulative)(dim[, min_periods]) | Accumulating object for Datasets | | [`Dataset.weighted`](../generated/xarray.Dataset.weighted.html.md#xarray.Dataset.weighted)(weights) | Weighted Dataset operations. | | [`Dataset.coarsen`](../generated/xarray.Dataset.coarsen.html.md#xarray.Dataset.coarsen)([dim, boundary, side, ...]) | Coarsen object for Datasets. | | [`Dataset.resample`](../generated/xarray.Dataset.resample.html.md#xarray.Dataset.resample)([indexer, skipna, closed, ...]) | Returns a Resample object for performing resampling operations. | | [`Dataset.diff`](../generated/xarray.Dataset.diff.html.md#xarray.Dataset.diff)(dim[, n, label]) | Calculate the n-th order discrete difference along given axis. | | [`Dataset.quantile`](../generated/xarray.Dataset.quantile.html.md#xarray.Dataset.quantile)(q[, dim, method, ...]) | Compute the qth quantile of the data along the specified dimension. | | [`Dataset.differentiate`](../generated/xarray.Dataset.differentiate.html.md#xarray.Dataset.differentiate)(coord[, edge_order, ...]) | Differentiate with the second order accurate central differences. | | [`Dataset.integrate`](../generated/xarray.Dataset.integrate.html.md#xarray.Dataset.integrate)(coord[, datetime_unit]) | Integrate along the given coordinate using the trapezoidal rule. | | [`Dataset.map_blocks`](../generated/xarray.Dataset.map_blocks.html.md#xarray.Dataset.map_blocks)(func[, args, kwargs, ...]) | Apply a function to each block of this Dataset. | | [`Dataset.polyfit`](../generated/xarray.Dataset.polyfit.html.md#xarray.Dataset.polyfit)(dim, deg[, skipna, rcond, ...]) | Least squares polynomial fit. | | [`Dataset.curvefit`](../generated/xarray.Dataset.curvefit.html.md#xarray.Dataset.curvefit)(coords, func[, ...]) | Curve fitting optimization for arbitrary functions. | | [`Dataset.eval`](../generated/xarray.Dataset.eval.html.md#xarray.Dataset.eval)(statement, \*[, parser]) | Calculate an expression supplied as a string in the context of the dataset. | ## Aggregation | [`Dataset.all`](../generated/xarray.Dataset.all.html.md#xarray.Dataset.all)([dim, keep_attrs]) | Reduce this Dataset's data by applying `all` along some dimension(s). | |-----------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------| | [`Dataset.any`](../generated/xarray.Dataset.any.html.md#xarray.Dataset.any)([dim, keep_attrs]) | Reduce this Dataset's data by applying `any` along some dimension(s). | | [`Dataset.argmax`](../generated/xarray.Dataset.argmax.html.md#xarray.Dataset.argmax)([dim]) | Indices of the maxima of the member variables. | | [`Dataset.argmin`](../generated/xarray.Dataset.argmin.html.md#xarray.Dataset.argmin)([dim]) | Indices of the minima of the member variables. | | [`Dataset.count`](../generated/xarray.Dataset.count.html.md#xarray.Dataset.count)([dim, keep_attrs]) | Reduce this Dataset's data by applying `count` along some dimension(s). | | [`Dataset.idxmax`](../generated/xarray.Dataset.idxmax.html.md#xarray.Dataset.idxmax)([dim, skipna, fill_value, ...]) | Return the coordinate label of the maximum value along a dimension. | | [`Dataset.idxmin`](../generated/xarray.Dataset.idxmin.html.md#xarray.Dataset.idxmin)([dim, skipna, fill_value, ...]) | Return the coordinate label of the minimum value along a dimension. | | [`Dataset.max`](../generated/xarray.Dataset.max.html.md#xarray.Dataset.max)([dim, skipna, keep_attrs]) | Reduce this Dataset's data by applying `max` (i.e., maximum) along some dimension(s). | | [`Dataset.min`](../generated/xarray.Dataset.min.html.md#xarray.Dataset.min)([dim, skipna, keep_attrs]) | Reduce this Dataset's data by applying `min` (i.e., minimum) along some dimension(s). | | [`Dataset.mean`](../generated/xarray.Dataset.mean.html.md#xarray.Dataset.mean)([dim, skipna, keep_attrs]) | Reduce this Dataset's data by applying `mean` along some dimension(s). | | [`Dataset.median`](../generated/xarray.Dataset.median.html.md#xarray.Dataset.median)([dim, skipna, keep_attrs]) | Reduce this Dataset's data by applying `median` along some dimension(s). | | [`Dataset.prod`](../generated/xarray.Dataset.prod.html.md#xarray.Dataset.prod)([dim, skipna, min_count, ...]) | Reduce this Dataset's data by applying `prod` (i.e., product) along some dimension(s). | | [`Dataset.sum`](../generated/xarray.Dataset.sum.html.md#xarray.Dataset.sum)([dim, skipna, min_count, keep_attrs]) | Reduce this Dataset's data by applying `sum` along some dimension(s). | | [`Dataset.std`](../generated/xarray.Dataset.std.html.md#xarray.Dataset.std)([dim, skipna, ddof, keep_attrs]) | Reduce this Dataset's data by applying `std` (i.e., standard deviation) along some dimension(s). | | [`Dataset.var`](../generated/xarray.Dataset.var.html.md#xarray.Dataset.var)([dim, skipna, ddof, keep_attrs]) | Reduce this Dataset's data by applying `var` (i.e., variance) along some dimension(s). | | [`Dataset.cumsum`](../generated/xarray.Dataset.cumsum.html.md#xarray.Dataset.cumsum)([dim, skipna, keep_attrs]) | Reduce this Dataset's data by applying `cumsum` (i.e., cumulative sum) along some dimension(s). | | [`Dataset.cumprod`](../generated/xarray.Dataset.cumprod.html.md#xarray.Dataset.cumprod)([dim, skipna, keep_attrs]) | Reduce this Dataset's data by applying `cumprod` (i.e., cumulative product) along some dimension(s). | ## ndarray methods | [`Dataset.argsort`](../generated/xarray.Dataset.argsort.html.md#xarray.Dataset.argsort)([axis, kind, order, stable, ...]) | Returns the indices that would sort this array. | |-----------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------| | [`Dataset.astype`](../generated/xarray.Dataset.astype.html.md#xarray.Dataset.astype)(dtype, \*[, order, casting, ...]) | Copy of the xarray object, with data cast to a specified type. | | [`Dataset.clip`](../generated/xarray.Dataset.clip.html.md#xarray.Dataset.clip)([min, max, keep_attrs]) | Return an array whose values are limited to `[min, max]`. | | [`Dataset.conj`](../generated/xarray.Dataset.conj.html.md#xarray.Dataset.conj)() | Complex-conjugate all elements. | | [`Dataset.conjugate`](../generated/xarray.Dataset.conjugate.html.md#xarray.Dataset.conjugate)(\*args, \*\*kwargs) | a.conj() | | [`Dataset.imag`](../generated/xarray.Dataset.imag.html.md#xarray.Dataset.imag) | The imaginary part of each data variable. | | [`Dataset.round`](../generated/xarray.Dataset.round.html.md#xarray.Dataset.round)(\*args, \*\*kwargs) | | | [`Dataset.real`](../generated/xarray.Dataset.real.html.md#xarray.Dataset.real) | The real part of each data variable. | | [`Dataset.rank`](../generated/xarray.Dataset.rank.html.md#xarray.Dataset.rank)(dim, \*[, pct, keep_attrs]) | Ranks the data. | ## Reshaping and reorganizing | [`Dataset.transpose`](../generated/xarray.Dataset.transpose.html.md#xarray.Dataset.transpose)(\*dim[, missing_dims]) | Return a new Dataset object with all array dimensions transposed. | |---------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------| | [`Dataset.stack`](../generated/xarray.Dataset.stack.html.md#xarray.Dataset.stack)([dim, create_index, index_cls]) | Stack any number of existing dimensions into a single new dimension. | | [`Dataset.unstack`](../generated/xarray.Dataset.unstack.html.md#xarray.Dataset.unstack)([dim, fill_value, sparse]) | Unstack existing dimensions corresponding to MultiIndexes into multiple new dimensions. | | [`Dataset.to_stacked_array`](../generated/xarray.Dataset.to_stacked_array.html.md#xarray.Dataset.to_stacked_array)(new_dim, sample_dims) | Combine variables of differing dimensionality into a DataArray without broadcasting. | | [`Dataset.shift`](../generated/xarray.Dataset.shift.html.md#xarray.Dataset.shift)([shifts, fill_value]) | Shift this dataset by an offset along one or more dimensions. | | [`Dataset.roll`](../generated/xarray.Dataset.roll.html.md#xarray.Dataset.roll)([shifts, roll_coords]) | Roll this dataset by an offset along one or more dimensions. | | [`Dataset.pad`](../generated/xarray.Dataset.pad.html.md#xarray.Dataset.pad)([pad_width, mode, stat_length, ...]) | Pad this dataset along one or more dimensions. | | [`Dataset.sortby`](../generated/xarray.Dataset.sortby.html.md#xarray.Dataset.sortby)(variables[, ascending]) | Sort object by labels or values (along an axis). | | [`Dataset.broadcast_like`](../generated/xarray.Dataset.broadcast_like.html.md#xarray.Dataset.broadcast_like)(other[, exclude]) | Broadcast this DataArray against another Dataset or DataArray. |