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# (C) Copyright 2017- ECMWF.
#
# This software is licensed under the terms of the Apache Licence Version 2.0
# which can be obtained at http://www.apache.org/licenses/LICENSE-2.0.
#
# In applying this licence, ECMWF does not waive the privileges and immunities
# granted to it by virtue of its status as an intergovernmental organisation
# nor does it submit to any jurisdiction.
"""
Metview Python use case
UC-01. The Analyst produces plots and files for the Product user
--------------------------------------------------------------------------------
1. Analyst creates plots and files thanks to his Python applications and scripts
that benefits from the underlying tools of the framework
--------------------------------------------------------------------------------
Analyst reads data from a GRIB file and derives another quantity from it. Then,
Analyst saves his data as a GRIB file and creates a plot in PNG format.
"""
import metview as mv
mydata = mv.read("../tests/test.grib")
derived = mydata * 2 + 5
mv.write("derived_data.grib", derived)
grid_shade = mv.mcont(
legend=True,
contour=False,
contour_highlight=True,
contour_shade=True,
contour_shade_technique="grid_shading",
contour_shade_max_level_colour="red",
contour_shade_min_level_colour="blue",
contour_shade_colour_direction="clockwise",
)
# Macro-like PNG creation:
png = mv.png_output(output_width=1200, output_name="./myplot")
mv.plot(png, derived, grid_shade)
# Using a different notation:
png_output = {"output_type": "png", "output_width": 1200, "output_name": "./myplot2"}
mv.plot(derived, grid_shade, **png_output)
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