ENH: Improved copy methods #71
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The new copy methods have a uniform API (which also matches pandas): they take a keyword argument `deep`. `deep=False` no longer always loads data into a numpy array. This makes it possible to write functions to using the public API to rename variable dimensions without always loading variables into memory.
shoyer
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that referenced
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Mar 21, 2014
This provides an interface for re-indexing a dataset or dataset array using
the coordinates from another object. Missing values along any coordinate are
replaced by `NaN`.
This method is directly based on the pandas method `DataFrame.reindex_like`
(and the related series and panel variants). Eventually, I would like to build
upon this functionality to add a `join` method to `xray.align` with the
possible values `{'outer', 'inner', 'left', 'right'}`, just like
`DataFrame.align`.
This PR depends on PR #71, since I use its improved `copy` method for
datasets.
shoyer
added a commit
that referenced
this pull request
Mar 21, 2014
This provides an interface for re-indexing a dataset or dataset array using
the coordinates from another object. Missing values along any coordinate are
replaced by `NaN`.
This method is directly based on the pandas method `DataFrame.reindex_like`
(and the related series and panel variants). Eventually, I would like to build
upon this functionality to add a `join` method to `xray.align` with the
possible values `{'outer', 'inner', 'left', 'right'}`, just like
`DataFrame.align`.
This PR depends on PR #71, since I use its improved `copy` method for
datasets.
shoyer
added a commit
that referenced
this pull request
Mar 21, 2014
This provides an interface for re-indexing a dataset or dataset array using
the coordinates from another object. Missing values along any coordinate are
replaced by `NaN`.
This method is directly based on the pandas method `DataFrame.reindex_like`
(and the related series and panel variants). Eventually, I would like to build
upon this functionality to add a `join` method to `xray.align` with the
possible values `{'outer', 'inner', 'left', 'right'}`, just like
`DataFrame.align`.
This PR depends on PR #71, since I use its improved `copy` method for
datasets.
shoyer
added a commit
that referenced
this pull request
Mar 24, 2014
This provides an interface for re-indexing a dataset or dataset array using
the coordinates from another object. Missing values along any coordinate are
replaced by `NaN`.
This method is directly based on the pandas method `DataFrame.reindex_like`
(and the related series and panel variants). Eventually, I would like to build
upon this functionality to add a `join` method to `xray.align` with the
possible values `{'outer', 'inner', 'left', 'right'}`, just like
`DataFrame.align`.
This PR depends on PR #71, since I use its improved `copy` method for
datasets.
shoyer
added a commit
that referenced
this pull request
Mar 31, 2014
This provides an interface for re-indexing a dataset or dataset array using
the coordinates from another object. Missing values along any coordinate are
replaced by `NaN`.
This method is directly based on the pandas method `DataFrame.reindex_like`
(and the related series and panel variants). Eventually, I would like to build
upon this functionality to add a `join` method to `xray.align` with the
possible values `{'outer', 'inner', 'left', 'right'}`, just like
`DataFrame.align`.
This PR depends on PR #71, since I use its improved `copy` method for
datasets.
keewis
pushed a commit
to keewis/xarray
that referenced
this pull request
Jan 17, 2024
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The new copy methods have a uniform API (which also matches pandas): they take
a keyword argument
deep.deep=Falseno longer always loads data into a numpy array. This makes itpossible to write functions to using the public API to rename variable
dimensions without always loading variables into memory.