auto_combine(datasets[, concat_dim, compat]) Attempt to auto-magically combine the given datasets into one.
Dataset.all([dim, keep_attrs]) Reduce this Dataset’s data by applying all along some dimension(s).
Dataset.any([dim, keep_attrs]) Reduce this Dataset’s data by applying any along some dimension(s).
Dataset.argmax([dim, keep_attrs, skipna]) Reduce this Dataset’s data by applying argmax along some dimension(s).
Dataset.argmin([dim, keep_attrs, skipna]) Reduce this Dataset’s data by applying argmin along some dimension(s).
Dataset.max([dim, keep_attrs, skipna]) Reduce this Dataset’s data by applying max along some dimension(s).
Dataset.min([dim, keep_attrs, skipna]) Reduce this Dataset’s data by applying min along some dimension(s).
Dataset.mean([dim, keep_attrs, skipna]) Reduce this Dataset’s data by applying mean along some dimension(s).
Dataset.median([dim, keep_attrs, skipna]) Reduce this Dataset’s data by applying median along some dimension(s).
Dataset.prod([dim, keep_attrs, skipna]) Reduce this Dataset’s data by applying prod along some dimension(s).
Dataset.sum([dim, keep_attrs, skipna]) Reduce this Dataset’s data by applying sum along some dimension(s).
Dataset.std([dim, keep_attrs, skipna]) Reduce this Dataset’s data by applying std along some dimension(s).
Dataset.var([dim, keep_attrs, skipna]) Reduce this Dataset’s data by applying var along some dimension(s).
Dataset.isnull(\*args, \*\*kwargs) Detect missing values (NaN in numeric arrays, None/NaN in object arrays)
Dataset.notnull(\*args, \*\*kwargs) Replacement for numpy.isfinite / -numpy.isnan which is suitable for use on object arrays.
Dataset.count([dim, keep_attrs]) Reduce this Dataset’s data by applying count along some dimension(s).
Dataset.dropna(dim[, how, thresh, subset]) Returns a new dataset with dropped labels for missing values along the provided dimension.
Dataset.fillna(value) Fill missing values in this object.
Dataset.where(cond[, other, drop]) Return an object of the same shape with all entries where cond is True and all other entries masked.
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) Return an object of the same shape with all entries where cond is True and all other entries masked.
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.T
Dataset.cumsum([dim, keep_attrs, skipna]) Apply cumsum along some dimension of Dataset.
Dataset.cumprod([dim, keep_attrs, skipna]) Apply cumprod along some dimension of Dataset.
DataArray.ndim
DataArray.shape
DataArray.size
DataArray.dtype
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, keep_attrs]) Reduce this DataArray’s data by applying all along some dimension(s).
DataArray.any([dim, axis, keep_attrs]) Reduce this DataArray’s data by applying any along some dimension(s).
DataArray.argmax([dim, axis, skipna, keep_attrs]) Reduce this DataArray’s data by applying argmax along some dimension(s).
DataArray.argmin([dim, axis, skipna, keep_attrs]) Reduce this DataArray’s data by applying argmin along some dimension(s).
DataArray.max([dim, axis, skipna, keep_attrs]) Reduce this DataArray’s data by applying max along some dimension(s).
DataArray.min([dim, axis, skipna, keep_attrs]) Reduce this DataArray’s data by applying min along some dimension(s).
DataArray.mean([dim, axis, skipna, keep_attrs]) Reduce this DataArray’s data by applying mean along some dimension(s).
DataArray.median([dim, axis, skipna, keep_attrs]) Reduce this DataArray’s data by applying median along some dimension(s).
DataArray.prod([dim, axis, skipna, keep_attrs]) Reduce this DataArray’s data by applying prod along some dimension(s).
DataArray.sum([dim, axis, skipna, keep_attrs]) Reduce this DataArray’s data by applying sum along some dimension(s).
DataArray.std([dim, axis, skipna, keep_attrs]) Reduce this DataArray’s data by applying std along some dimension(s).
DataArray.var([dim, axis, skipna, keep_attrs]) Reduce this DataArray’s data by applying var along some dimension(s).
DataArray.isnull(\*args, \*\*kwargs) Detect missing values (NaN in numeric arrays, None/NaN in object arrays)
DataArray.notnull(\*args, \*\*kwargs) Replacement for numpy.isfinite / -numpy.isnan which is suitable for use on object arrays.
DataArray.count([dim, axis, keep_attrs]) Reduce this DataArray’s data by applying count along some dimension(s).
DataArray.dropna(dim[, how, thresh]) Returns a new array with dropped labels for missing values along the provided dimension.
DataArray.fillna(value) Fill missing values in this object.
DataArray.where(cond[, other, drop]) Return an object of the same shape with all entries where cond is True and all other entries masked.
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 an object of the same shape with all entries where cond is True and all other entries masked.
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, keep_attrs]) Apply cumsum along some dimension of DataArray.
DataArray.cumprod([dim, axis, skipna, ...]) Apply cumprod along some dimension of DataArray.
ufuncs.angle xarray specific variant of numpy.angle. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.arccos xarray specific variant of numpy.arccos. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.arccosh xarray specific variant of numpy.arccosh. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.arcsin xarray specific variant of numpy.arcsin. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.arcsinh xarray specific variant of numpy.arcsinh. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.arctan xarray specific variant of numpy.arctan. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.arctan2 xarray specific variant of numpy.arctan2. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.arctanh xarray specific variant of numpy.arctanh. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.ceil xarray specific variant of numpy.ceil. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.conj xarray specific variant of numpy.conj. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.copysign xarray specific variant of numpy.copysign. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.cos xarray specific variant of numpy.cos. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.cosh xarray specific variant of numpy.cosh. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.deg2rad xarray specific variant of numpy.deg2rad. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.degrees xarray specific variant of numpy.degrees. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.exp xarray specific variant of numpy.exp. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.expm1 xarray specific variant of numpy.expm1. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.fabs xarray specific variant of numpy.fabs. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.fix xarray specific variant of numpy.fix. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.floor xarray specific variant of numpy.floor. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.fmax xarray specific variant of numpy.fmax. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.fmin xarray specific variant of numpy.fmin. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.fmod xarray specific variant of numpy.fmod. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.fmod xarray specific variant of numpy.fmod. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.frexp xarray specific variant of numpy.frexp. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.hypot xarray specific variant of numpy.hypot. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.imag xarray specific variant of numpy.imag. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.iscomplex xarray specific variant of numpy.iscomplex. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.isfinite xarray specific variant of numpy.isfinite. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.isinf xarray specific variant of numpy.isinf. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.isnan xarray specific variant of numpy.isnan. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.isreal xarray specific variant of numpy.isreal. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.ldexp xarray specific variant of numpy.ldexp. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.log xarray specific variant of numpy.log. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.log10 xarray specific variant of numpy.log10. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.log1p xarray specific variant of numpy.log1p. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.log2 xarray specific variant of numpy.log2. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.logaddexp xarray specific variant of numpy.logaddexp. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.logaddexp2 xarray specific variant of numpy.logaddexp2. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.logical_and xarray specific variant of numpy.logical_and. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.logical_not xarray specific variant of numpy.logical_not. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.logical_or xarray specific variant of numpy.logical_or. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.logical_xor xarray specific variant of numpy.logical_xor. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.maximum xarray specific variant of numpy.maximum. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.minimum xarray specific variant of numpy.minimum. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.nextafter xarray specific variant of numpy.nextafter. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.rad2deg xarray specific variant of numpy.rad2deg. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.radians xarray specific variant of numpy.radians. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.real xarray specific variant of numpy.real. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.rint xarray specific variant of numpy.rint. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.sign xarray specific variant of numpy.sign. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.signbit xarray specific variant of numpy.signbit. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.sin xarray specific variant of numpy.sin. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.sinh xarray specific variant of numpy.sinh. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.sqrt xarray specific variant of numpy.sqrt. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.square xarray specific variant of numpy.square. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.tan xarray specific variant of numpy.tan. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.tanh xarray specific variant of numpy.tanh. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
ufuncs.trunc xarray specific variant of numpy.trunc. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
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, maxchar]) 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.