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 |
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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. |
DataArray.ndim |
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DataArray.shape |
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DataArray.size |
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DataArray.dtype |
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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 |
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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 |
|
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. |