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(self[, dim])

Reduce this Dataset’s data by applying all along some dimension(s).

Dataset.any(self[, dim])

Reduce this Dataset’s data by applying any along some dimension(s).

Dataset.argmax(self[, dim, skipna])

Reduce this Dataset’s data by applying argmax along some dimension(s).

Dataset.argmin(self[, dim, skipna])

Reduce this Dataset’s data by applying argmin along some dimension(s).

Dataset.max(self[, dim, skipna])

Reduce this Dataset’s data by applying max along some dimension(s).

Dataset.min(self[, dim, skipna])

Reduce this Dataset’s data by applying min along some dimension(s).

Dataset.mean(self[, dim, skipna])

Reduce this Dataset’s data by applying mean along some dimension(s).

Dataset.median(self[, dim, skipna])

Reduce this Dataset’s data by applying median along some dimension(s).

Dataset.prod(self[, dim, skipna])

Reduce this Dataset’s data by applying prod along some dimension(s).

Dataset.sum(self[, dim, skipna])

Reduce this Dataset’s data by applying sum along some dimension(s).

Dataset.std(self[, dim, skipna])

Reduce this Dataset’s data by applying std along some dimension(s).

Dataset.var(self[, dim, skipna])

Reduce this Dataset’s data by applying var along some dimension(s).

core.groupby.DatasetGroupBy.assign(self, …)

Assign data variables by group.

core.groupby.DatasetGroupBy.assign_coords(…)

Assign coordinates by group.

core.groupby.DatasetGroupBy.first(self[, …])

Return the first element of each group along the group dimension

core.groupby.DatasetGroupBy.last(self[, …])

Return the last element of each group along the group dimension

core.groupby.DatasetGroupBy.fillna(self, value)

Fill missing values in this object by group.

core.groupby.DatasetGroupBy.where(self, cond)

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(self, \*args, \*\*kwargs)

Dataset.real

Dataset.cumsum(self[, dim, skipna])

Apply cumsum along some dimension of Dataset.

Dataset.cumprod(self[, dim, skipna])

Apply cumprod along some dimension of Dataset.

Dataset.rank(self, 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(self[, dim, axis])

Reduce this DataArray’s data by applying all along some dimension(s).

DataArray.any(self[, dim, axis])

Reduce this DataArray’s data by applying any along some dimension(s).

DataArray.argmax(self[, dim, axis, skipna])

Reduce this DataArray’s data by applying argmax along some dimension(s).

DataArray.argmin(self[, dim, axis, skipna])

Reduce this DataArray’s data by applying argmin along some dimension(s).

DataArray.max(self[, dim, axis, skipna])

Reduce this DataArray’s data by applying max along some dimension(s).

DataArray.min(self[, dim, axis, skipna])

Reduce this DataArray’s data by applying min along some dimension(s).

DataArray.mean(self[, dim, axis, skipna])

Reduce this DataArray’s data by applying mean along some dimension(s).

DataArray.median(self[, dim, axis, skipna])

Reduce this DataArray’s data by applying median along some dimension(s).

DataArray.prod(self[, dim, axis, skipna])

Reduce this DataArray’s data by applying prod along some dimension(s).

DataArray.sum(self[, dim, axis, skipna])

Reduce this DataArray’s data by applying sum along some dimension(s).

DataArray.std(self[, dim, axis, skipna])

Reduce this DataArray’s data by applying std along some dimension(s).

DataArray.var(self[, 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(self[, …])

Return the first element of each group along the group dimension

core.groupby.DataArrayGroupBy.last(self[, …])

Return the last element of each group along the group dimension

core.groupby.DataArrayGroupBy.fillna(self, value)

Fill missing values in this object by group.

core.groupby.DataArrayGroupBy.where(self, 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(self, \*args, \*\*kwargs)

DataArray.real

DataArray.T

DataArray.cumsum(self[, dim, axis, skipna])

Apply cumsum along some dimension of DataArray.

DataArray.cumprod(self[, dim, axis, skipna])

Apply cumprod along some dimension of DataArray.

DataArray.rank(self, dim, pct, keep_attrs)

Ranks the data.

ufuncs.angle(\*args, \*\*kwargs)

xarray specific variant of numpy.angle.

ufuncs.arccos(\*args, \*\*kwargs)

xarray specific variant of numpy.arccos.

ufuncs.arccosh(\*args, \*\*kwargs)

xarray specific variant of numpy.arccosh.

ufuncs.arcsin(\*args, \*\*kwargs)

xarray specific variant of numpy.arcsin.

ufuncs.arcsinh(\*args, \*\*kwargs)

xarray specific variant of numpy.arcsinh.

ufuncs.arctan(\*args, \*\*kwargs)

xarray specific variant of numpy.arctan.

ufuncs.arctan2(\*args, \*\*kwargs)

xarray specific variant of numpy.arctan2.

ufuncs.arctanh(\*args, \*\*kwargs)

xarray specific variant of numpy.arctanh.

ufuncs.ceil(\*args, \*\*kwargs)

xarray specific variant of numpy.ceil.

ufuncs.conj(\*args, \*\*kwargs)

xarray specific variant of numpy.conj.

ufuncs.copysign(\*args, \*\*kwargs)

xarray specific variant of numpy.copysign.

ufuncs.cos(\*args, \*\*kwargs)

xarray specific variant of numpy.cos.

ufuncs.cosh(\*args, \*\*kwargs)

xarray specific variant of numpy.cosh.

ufuncs.deg2rad(\*args, \*\*kwargs)

xarray specific variant of numpy.deg2rad.

ufuncs.degrees(\*args, \*\*kwargs)

xarray specific variant of numpy.degrees.

ufuncs.exp(\*args, \*\*kwargs)

xarray specific variant of numpy.exp.

ufuncs.expm1(\*args, \*\*kwargs)

xarray specific variant of numpy.expm1.

ufuncs.fabs(\*args, \*\*kwargs)

xarray specific variant of numpy.fabs.

ufuncs.fix(\*args, \*\*kwargs)

xarray specific variant of numpy.fix.

ufuncs.floor(\*args, \*\*kwargs)

xarray specific variant of numpy.floor.

ufuncs.fmax(\*args, \*\*kwargs)

xarray specific variant of numpy.fmax.

ufuncs.fmin(\*args, \*\*kwargs)

xarray specific variant of numpy.fmin.

ufuncs.fmod(\*args, \*\*kwargs)

xarray specific variant of numpy.fmod.

ufuncs.fmod(\*args, \*\*kwargs)

xarray specific variant of numpy.fmod.

ufuncs.frexp(\*args, \*\*kwargs)

xarray specific variant of numpy.frexp.

ufuncs.hypot(\*args, \*\*kwargs)

xarray specific variant of numpy.hypot.

ufuncs.imag(\*args, \*\*kwargs)

xarray specific variant of numpy.imag.

ufuncs.iscomplex(\*args, \*\*kwargs)

xarray specific variant of numpy.iscomplex.

ufuncs.isfinite(\*args, \*\*kwargs)

xarray specific variant of numpy.isfinite.

ufuncs.isinf(\*args, \*\*kwargs)

xarray specific variant of numpy.isinf.

ufuncs.isnan(\*args, \*\*kwargs)

xarray specific variant of numpy.isnan.

ufuncs.isreal(\*args, \*\*kwargs)

xarray specific variant of numpy.isreal.

ufuncs.ldexp(\*args, \*\*kwargs)

xarray specific variant of numpy.ldexp.

ufuncs.log(\*args, \*\*kwargs)

xarray specific variant of numpy.log.

ufuncs.log10(\*args, \*\*kwargs)

xarray specific variant of numpy.log10.

ufuncs.log1p(\*args, \*\*kwargs)

xarray specific variant of numpy.log1p.

ufuncs.log2(\*args, \*\*kwargs)

xarray specific variant of numpy.log2.

ufuncs.logaddexp(\*args, \*\*kwargs)

xarray specific variant of numpy.logaddexp.

ufuncs.logaddexp2(\*args, \*\*kwargs)

xarray specific variant of numpy.logaddexp2.

ufuncs.logical_and(\*args, \*\*kwargs)

xarray specific variant of numpy.logical_and.

ufuncs.logical_not(\*args, \*\*kwargs)

xarray specific variant of numpy.logical_not.

ufuncs.logical_or(\*args, \*\*kwargs)

xarray specific variant of numpy.logical_or.

ufuncs.logical_xor(\*args, \*\*kwargs)

xarray specific variant of numpy.logical_xor.

ufuncs.maximum(\*args, \*\*kwargs)

xarray specific variant of numpy.maximum.

ufuncs.minimum(\*args, \*\*kwargs)

xarray specific variant of numpy.minimum.

ufuncs.nextafter(\*args, \*\*kwargs)

xarray specific variant of numpy.nextafter.

ufuncs.rad2deg(\*args, \*\*kwargs)

xarray specific variant of numpy.rad2deg.

ufuncs.radians(\*args, \*\*kwargs)

xarray specific variant of numpy.radians.

ufuncs.real(\*args, \*\*kwargs)

xarray specific variant of numpy.real.

ufuncs.rint(\*args, \*\*kwargs)

xarray specific variant of numpy.rint.

ufuncs.sign(\*args, \*\*kwargs)

xarray specific variant of numpy.sign.

ufuncs.signbit(\*args, \*\*kwargs)

xarray specific variant of numpy.signbit.

ufuncs.sin(\*args, \*\*kwargs)

xarray specific variant of numpy.sin.

ufuncs.sinh(\*args, \*\*kwargs)

xarray specific variant of numpy.sinh.

ufuncs.sqrt(\*args, \*\*kwargs)

xarray specific variant of numpy.sqrt.

ufuncs.square(\*args, \*\*kwargs)

xarray specific variant of numpy.square.

ufuncs.tan(\*args, \*\*kwargs)

xarray specific variant of numpy.tan.

ufuncs.tanh(\*args, \*\*kwargs)

xarray specific variant of numpy.tanh.

ufuncs.trunc(\*args, \*\*kwargs)

xarray specific variant of numpy.trunc.

plot.FacetGrid.map_dataarray(self, func, x, …)

Apply a plotting function to a 2d facet’s subset of the data.

plot.FacetGrid.set_titles(self[, template, …])

Draw titles either above each facet or on the grid margins.

plot.FacetGrid.set_ticks(self[, max_xticks, …])

Set and control tick behavior

plot.FacetGrid.map(self, func, \*args, …)

Apply a plotting function to each facet’s subset of the data.

CFTimeIndex.shift(self, n, freq)

Shift the CFTimeIndex a multiple of the given frequency.

CFTimeIndex.to_datetimeindex(self[, unsafe])

If possible, convert this index to a pandas.DatetimeIndex.

CFTimeIndex.strftime(self, date_format)

Return an Index of formatted strings specified by date_format, which supports the same string format as the python standard library.