|
Attempt to auto-magically combine the given datasets into one. |
Block dimensions for this dataset’s data or None if it’s not a dask array. |
|
|
Reduce this Dataset’s data by applying all along some dimension(s). |
|
Reduce this Dataset’s data by applying any along some dimension(s). |
|
Reduce this Dataset’s data by applying argmax along some dimension(s). |
|
Reduce this Dataset’s data by applying argmin along some dimension(s). |
|
Reduce this Dataset’s data by applying max along some dimension(s). |
|
Reduce this Dataset’s data by applying min along some dimension(s). |
|
Reduce this Dataset’s data by applying mean along some dimension(s). |
|
Reduce this Dataset’s data by applying median along some dimension(s). |
|
Reduce this Dataset’s data by applying prod along some dimension(s). |
|
Reduce this Dataset’s data by applying sum along some dimension(s). |
|
Reduce this Dataset’s data by applying std along some dimension(s). |
|
Reduce this Dataset’s data by applying var along some dimension(s). |
|
Assign data variables by group. |
Assign coordinates by group. |
|
|
Return the first element of each group along the group dimension |
|
Return the last element of each group along the group dimension |
|
Fill missing values in this object by group. |
|
Return elements from self or other depending on cond. |
|
Returns the indices that would sort this array. |
|
Return an array whose values are limited to |
Complex-conjugate all elements. |
|
Return the complex conjugate, element-wise. |
|
|
|
|
Apply cumsum along some dimension of Dataset. |
|
Apply cumprod along some dimension of Dataset. |
|
Ranks the data. |
Block dimensions for this array’s data or None if it’s not a dask array. |
|
|
Copy of the array, cast to a specified type. |
|
Copy an element of an array to a standard Python scalar and return it. |
|
Reduce this DataArray’s data by applying all along some dimension(s). |
|
Reduce this DataArray’s data by applying any along some dimension(s). |
|
Reduce this DataArray’s data by applying argmax along some dimension(s). |
|
Reduce this DataArray’s data by applying argmin along some dimension(s). |
|
Reduce this DataArray’s data by applying max along some dimension(s). |
|
Reduce this DataArray’s data by applying min along some dimension(s). |
|
Reduce this DataArray’s data by applying mean along some dimension(s). |
|
Reduce this DataArray’s data by applying median along some dimension(s). |
|
Reduce this DataArray’s data by applying prod along some dimension(s). |
|
Reduce this DataArray’s data by applying sum along some dimension(s). |
|
Reduce this DataArray’s data by applying std along some dimension(s). |
|
Reduce this DataArray’s data by applying var along some dimension(s). |
Assign coordinates by group. |
|
|
Return the first element of each group along the group dimension |
|
Return the last element of each group along the group dimension |
|
Fill missing values in this object by group. |
|
Return elements from self or other depending on cond. |
|
Returns the indices that would sort this array. |
|
Return an array whose values are limited to |
Complex-conjugate all elements. |
|
Return the complex conjugate, element-wise. |
|
|
Find indices where elements of v should be inserted in a to maintain order. |
|
|
|
Apply cumsum along some dimension of DataArray. |
|
Apply cumprod along some dimension of DataArray. |
|
Ranks the data. |
|
xarray specific variant of numpy.angle. |
|
xarray specific variant of numpy.arccos. |
|
xarray specific variant of numpy.arccosh. |
|
xarray specific variant of numpy.arcsin. |
|
xarray specific variant of numpy.arcsinh. |
|
xarray specific variant of numpy.arctan. |
|
xarray specific variant of numpy.arctan2. |
|
xarray specific variant of numpy.arctanh. |
|
xarray specific variant of numpy.ceil. |
|
xarray specific variant of numpy.conj. |
|
xarray specific variant of numpy.copysign. |
|
xarray specific variant of numpy.cos. |
|
xarray specific variant of numpy.cosh. |
|
xarray specific variant of numpy.deg2rad. |
|
xarray specific variant of numpy.degrees. |
|
xarray specific variant of numpy.exp. |
|
xarray specific variant of numpy.expm1. |
|
xarray specific variant of numpy.fabs. |
|
xarray specific variant of numpy.fix. |
|
xarray specific variant of numpy.floor. |
|
xarray specific variant of numpy.fmax. |
|
xarray specific variant of numpy.fmin. |
|
xarray specific variant of numpy.fmod. |
|
xarray specific variant of numpy.fmod. |
|
xarray specific variant of numpy.frexp. |
|
xarray specific variant of numpy.hypot. |
|
xarray specific variant of numpy.imag. |
|
xarray specific variant of numpy.iscomplex. |
|
xarray specific variant of numpy.isfinite. |
|
xarray specific variant of numpy.isinf. |
|
xarray specific variant of numpy.isnan. |
|
xarray specific variant of numpy.isreal. |
|
xarray specific variant of numpy.ldexp. |
|
xarray specific variant of numpy.log. |
|
xarray specific variant of numpy.log10. |
|
xarray specific variant of numpy.log1p. |
|
xarray specific variant of numpy.log2. |
|
xarray specific variant of numpy.logaddexp. |
|
xarray specific variant of numpy.logaddexp2. |
|
xarray specific variant of numpy.logical_and. |
|
xarray specific variant of numpy.logical_not. |
|
xarray specific variant of numpy.logical_or. |
|
xarray specific variant of numpy.logical_xor. |
|
xarray specific variant of numpy.maximum. |
|
xarray specific variant of numpy.minimum. |
|
xarray specific variant of numpy.nextafter. |
|
xarray specific variant of numpy.rad2deg. |
|
xarray specific variant of numpy.radians. |
|
xarray specific variant of numpy.real. |
|
xarray specific variant of numpy.rint. |
|
xarray specific variant of numpy.sign. |
|
xarray specific variant of numpy.signbit. |
|
xarray specific variant of numpy.sin. |
|
xarray specific variant of numpy.sinh. |
|
xarray specific variant of numpy.sqrt. |
|
xarray specific variant of numpy.square. |
|
xarray specific variant of numpy.tan. |
|
xarray specific variant of numpy.tanh. |
|
xarray specific variant of numpy.trunc. |
|
Apply a plotting function to a 2d facet’s subset of the data. |
|
Draw titles either above each facet or on the grid margins. |
|
Set and control tick behavior |
|
Apply a plotting function to each facet’s subset of the data. |
|
Shift the CFTimeIndex a multiple of the given frequency. |
|
If possible, convert this index to a pandas.DatetimeIndex. |
|
Return an Index of formatted strings specified by date_format, which supports the same string format as the python standard library. |