auto_combine (datasets[, concat_dim, compat, …]) |
Attempt to auto-magically combine the given datasets into one. |
Dataset.nbytes |
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Dataset.chunks |
Block dimensions for this dataset’s data or None if it’s not a dask array. |
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). |
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 |
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Dataset.round (*args, **kwargs) |
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Dataset.real |
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Dataset.T |
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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. |
Dataset.rank (dim[, pct, keep_attrs]) |
Ranks the data. |
DataArray.ndim |
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DataArray.nbytes |
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DataArray.shape |
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DataArray.size |
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DataArray.dtype |
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DataArray.nbytes |
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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, 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). |
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 |
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DataArray.searchsorted (v[, side, sorter]) |
Find indices where elements of v should be inserted in a to maintain order. |
DataArray.round (*args, **kwargs) |
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DataArray.real |
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DataArray.T |
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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. |
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, 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. |