Version 1.9.0

Released on github and pypi (pip install metview). Installed at ECMWF as part of metview/5.14.0

the plot functions now automatically plot inline if running inside a Jupyter notebook
- it is no longer necessary to call setoutput('jupyter')
- call setoutput('screen') to force the interactive plot window to appear
inline plots in Jupyter notebooks will be automatically trimmed of surrounding whitespace if pillow is installed
new functions to build popup dialogs and read in user input. Available via the newly added ui module.
- ui.dialog()
- ui.any()
- ui.colour()
- ui.icon()
- ui.option_menu()
- ui.slider()
- ui.toggle()
added high-level plotting functions to be used with Datasets or in Jupyter notebooks
- plot_maps()
- plot_diff_maps()
- plot_xs()
- plot_rmse()
new object Track to represent a storm track
new function make_geoview() to generate a geoview object with predefined settings
new interface for Datasets
- a Dataset represents a collection of data files (GRIB and CSV) and a set of predefined styles to visualise the data. Ideal for training courses or case studies.
- see Jupyter notebook example at https://metview.readthedocs.io/en/latest/notebook_gallery.html
added new keyword argument called check_local to gallery.load_dataset(). If it is True and the data file exists locally it will not be downloaded.
fixed issue when describe() crashed when called with a paramId

Version 1.8.1

Released on github and pypi (pip install metview). Installed at ECMWF as part of metview/5.13.2

Released on github and pypi (pip install metview). Installed at ECMWF as part of metview/5.13.0

new functions/methods on Fieldset to give an overview of contents:
- fs.describe() and fs.ls()
- see Jupyter notebook example
new GRIB filtering function, select(), offers different filtering options from read() and is faster
- see Jupyter notebook example
- new shorthand way to select parameters from Fieldsets, e.g.
  - g = fs["t"]
  - g = fs["t500"]
  - g = fs["t500hPa"]
  - see docs
the Fieldset constructor can now take a list of paths to GRIB files or a wildcard, e.g.
- a = mv.Fieldset(path=["/path1/to/data1.grib", "relpath/data2.grib"])
  a = mv.Fieldset(path="data/*.grib")
the result of a call to mcont() etc can now be modified, e.g.
c = mv.mcont() ; c["contour_line_colour"] = "green" ; mv.plot(data, c)
gv.update({"MAP_COASTLINE_land_SHADE_COLOUR": "green"}, sub="COASTlines")
improved the output of print(Fieldset):
"Fieldset (6 fields)"

Image Added

Released on github and pypi (pip install metview). Installed at ECMWF as part of metview/5.12.0

documentation now available on readthedocs!
improvements in plotting into Jupyter notebooks so that the plot() command works in a loop or an 'if' statement
new parameter when calling setoutput to force the plot() command to return an Image rather than a widget - this allows plots to be embedded in the notebook when you save it, e.g.
- Code Block
  mv.setoutput('jupyter', plot_widget=False)
when built with Metview 5.12, you can add a new parameter to setoutput() to scale the fonts, e.g.
- Code Block
  mv.setoutput('jupyter', output_width=800, output_font_scale=1.5)

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Released on ECMWF desktops and ecgate on 2018-06-08.

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