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Published April 13, 2018 | Version v1.1.0
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Chilipp/psyplot: v1.1.0: New xarray DataArray and Dataset accessors

  • 1. University of Lausanne


  • 1.



This new release mainly adds new xarray accossors (psy) for DataArrays and Datasets. Additionally we provide methods to calculate the spatially weighted mean, such as fldmean, fldstd and fldpctl.


  • The yaxis_inverted and xaxis_inverted is now considered when loading and saving a matplotlib axes
  • Added the seaborn-style command line argument
  • Added the concat_dim command line argument
  • Added the plot attribute to the DataArray and Dataset accessors. It is now possible to plot directly from the dataset and the data array
  • Added requires_replot attribute for the Formatoption class. If this attribute is True and the formatoption is contained in an update, it is the same as calling Plotter.update(replot=True)).
  • We added support for multifile datasets when saving a project. Multifile datasets are datasets that have been opened with, e.g. or psyplot.project.plot.<plotmethod>(..., mfmode=True). This however does not always work with datasets opened with xarray.open_mfdataset. In these cases, you have to set the Dataset.psy._concat_dim attribute manually
  • Added the chname parameter when loading a project. This parameter can be used to display another variable from the dataset than the one stored in the psyplot project file
  • Added the gridweights, fldmean, fldstd and fldpctl methods to the psy DataArray accessor to calculate weighted means, standard deviations and percentiles over the spatial dimensions (x- and y).
  • Added the additional_children and additional_dependencies parameters to the Formatoption intialization. These parameters can be used to provide additional children for a formatoption for one plotter class
  • We added the psyplot.plotter.Formatoption.get_fmt_widget method which can be implemented to insert widgets in the formatoptions widget of the graphical user interface



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