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| | Info |
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| Useful axis parameters |
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subpage_map_projection | | subpage_x_ axis_type subpage_y_ | | axis_type | subpagetick_ | xlabel_ | min_latitudeheight | subpage | axis_ | xtick_ | minlabel_ | longitudecolour | | subpage_x_max_latitude | | subpage_x_max_longitude | | subpage_y_min | | subpage_y_max | | axis_grid | | axis_title |
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| Code Block |
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| theme | Confluence |
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| language | python |
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| title | Python - Setting a projection |
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| collapse | true |
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| from Magics.macro import *
#setting the output
output = output(
output_formats = ['png'],
output_name = "xsect_step2",
output_name_first_page_number = "off"
)
# Setting the cartesian view
projection = mmap(
subpage_map_projection='cartesian',
subpage_x_axis_type='geoline',
subpage_y_axis_type='logarithmic',
subpage_x_min_latitude=50.,
subpage_x_max_latitude=30.,
subpage_x_min_longitude=-90.,
subpage_x_max_longitude=-60.,
subpage_y_min=1020.,
subpage_y_max=200.,
)
# Vertical axis
vertical = maxis(
axis_orientation='vertical',
axis_grid='on',
axis_type='logarithmic',
axis_tick_label_height=0.4,
axis_tick_label_colour='charcoal',
axis_grid_colour='charcoal',
axis_grid_thickness=1,
axis_grid_reference_line_style='solid',
axis_grid_reference_thickness=1,
axis_grid_line_style='dash',
axis_title='on',
axis_title_text='Pressure',
axis_title_height=0.6,
)
# Horizontal axis
horizontal = maxis(
axis_orientation='horizontal',
axis_type='geoline',
axis_tick_label_height=0.4,
axis_tick_label_colour='charcoal',
axis_grid='on',
axis_grid_colour='charcoal',
axis_grid_thickness=1,
axis_grid_line_style='dash',
)
plot(output, projection, horizontal, vertical) |
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Loading the NetCDF data
In this exercise, we want to visualise a matrix stored in a Netdef file. Netcdf is a very generic format, and can contain a lot of data.
Go to the next step...
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The user needs to set up some information in order to explain to Magics which variable to plot, and how to interpret it.
To do that, the mnetcdf defines a parameter list that can be found in the Netcdf Input Page.
Now, tet's see what is inside our Netcdf Data
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netcdf section {
dimensions:
levels = 85 ;
longitude = 144 ;
latitude = 144 ;
p15220121030000000000001_1 = 2 ;
p15220121030000000000001_2 = 144 ;
orography_x_values = 144 ;
orography_y1_values = 144 ;
orography_y2_values = 144 ;
variables:
double levels(levels) ;
double longitude(longitude) ;
double latitude(latitude) ;
double p13820121030000000000001(levels, longitude) ; |
We want to display the variable p1382012103000000000000, and inform Magics that the dimensions of th ematrix are described in the 2 variables levels and longitude.
We will then just apply a basic contouring.