...
| Section |
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| Column |
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| | Info |
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| Useful axis parameters |
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axis_type | | axis_tick_label_height | | axis_tick_label_colour | | 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 projectionadjusting the axis |
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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_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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| 
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...
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.
The range of the vorticity values is quite small, then we would like to apply a scaling factor of 100000.
We will then just apply a basic contouring.
| Section |
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| Column |
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| | Info |
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| Useful Netcdf parameters |
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netcdf_filename | | netcdf_value_variable | | netcdf_field_scaling_factor | | netcdf_y_variable | | netcdf_x_variable | | netcdf_x_auxiliary_variable |
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| Code Block |
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| theme | Confluence |
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| language | python |
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| title | Python - Loading a Netcdf |
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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_step3",
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',
)
# Definition of the Netcdf data and interpretation
data = mnetcdf(netcdf_filename = "section. |
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...
nc",
netcdf_value_variable = "p13820121030000000000001",
netcdf_field_scaling_factor = 100000.,
netcdf_y_variable = "levels",
netcdf_x_variable = "longitude",
netcdf_x_auxiliary_variable = "latitude"
)
contour = mcont()
plot(output, projection, horizontal, vertical, data, contour) |
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| Column |
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|  Image Added
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...