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Section |
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Column |
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| Info |
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Useful projection parameters |
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subpage_map_projection | subpage_x_axis_type | subpage_y_axis_type | subpage_x_min | subpage_y_min | subpage_x_max | subpage_y_max |
Useful axis parameters |
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axis_orientation | axis_type | axis_grid | axis_grid_reference | 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 - Adding New-York Cityset-up of cartesian projection |
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collapse | true |
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| # importing Magics module
from Magics.macro import *
# define the output
output = output(output_formats=['png'],
output_name_first_page_number='off',
output_name="profile_step1")
projection = mmap(
subpage_map_projection='cartesian',
subpage_x_axis_type='regular',
subpage_y_axis_type='logarithmic',
subpage_x_min=-70.,
subpage_x_max=20.,
subpage_y_min=1020.,
subpage_y_max=10.,)
#define the 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_font='arial',
axis_title_font_style='bold',
axis_title_height=1.,
)
# define the horizontal axis
horizontal = maxis(
axis_orientation='horizontal',
axis_type='regular',
axis_tick_label_height=0.4,
axis_tick_label_colour='charcoal',
axis_grid='on',
axis_grid_colour='charcoal',
axis_grid_thickness=1,
axis_grid_reference_level=0.,
axis_grid_reference_line_style='solid',
axis_grid_reference_thickness=1,
axis_grid_line_style='dash',)
plot(output, projection, vertical, horizontal) |
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| ![](/download/attachments/24317186/profile_step1.png?version=1&modificationDate=1362664948993&api=v2&effects=border-simple,blur-border) |
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...
We can pass these arrays to Magics using the minput object . Check the Input Data Documentation for more information about the parameters. Note that we want to use Celsius in our graph...
The mgraph object can then be used to preform the visualisation. All the parameters can be found in the Graph Plotting Page.
Section |
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Column |
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| Info |
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Useful input parameters |
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input_x_values | input_y_values |
Useful projection parametersgraph parameters |
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graph_line_colour | graph_line_thickness |
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Code Block |
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theme | Confluence |
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language | python |
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title | Python - Input data for graph |
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collapse | true |
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| # importing Magics module
from Magics.macro import *
# define the output
output = output(output_formats=['png'],
output_name_first_page_number='off',
output_name="profile_step2")
projection = mmap(
subpage_map_projection ='cartesian',
subpage_x_axis_type ='regular',
subpage_y_axis_type ='logarithmic',
subpage_x_min =-70.,
subpage_x_max=20.,
subpage_y_min =1020.,
subpage_ x_max | subpage_y_max | Useful axis parameters |
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axis_orientation | axis_type | axis_grid | axis_grid_reference | axis_title |
y_max=10.,)
#define the 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_font='arial',
axis_title_font_style='bold',
axis_title_height=1.,
)
# define the horizontal axis
horizontal = maxis(
axis_orientation='horizontal',
axis_type='regular',
axis_tick_label_height=0.4,
axis_tick_label_colour='charcoal',
axis_grid='on',
axis_grid_colour='charcoal',
axis_grid_thickness=1,
axis_grid_reference_level=0.,
axis_grid_reference_line_style='solid',
axis_grid_reference_thickness=1,
axis_grid_line_style='dash',)
levels = [1.,2.,3,5,7,10,20,30,50,70,100,150,200,250,300,400,500,600,700,800,850,900,925,950,1000]
kelvin = numpy.array([263.118652344,254.822738647,242.517868042,223.301025391,219.254943848,216.710174561,216.507095337,
215.398986816,211.643295288,207.18812561,207.172134399,217.097396851,
223.809326172,235.13168335,243.377059937,260.635147095,272.02935791,
272.145584106,273.448501587,279.562927246,281.745040894,285.503082275,287.543685913,289.284072876,292.170974731])
celsius = kelvin -273.16
# Define the input of the graph
data = minput(input_x_values = celsius,
input_y_values = levels, )
#define the graph action.
graph = mgraph( legend='on' ,
legend_user_text= 'Tempe',
graph_line_colour="navy",
graph_line_thickness= 3, )
plot(output, projection, vertical, horizontal, data, graph)
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| Image Added |
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Profile: Using Arrays as Input for wind Plotting
Here is the list of pressure levels, and the list of u and v components for each pressure level.
levels = [1.,2.,3,5,7,10,20,30,50,70,100,150,200,250,300,400,500,600,700,800,850,900,925,950,1000]
u_component = [77.815612793,63.232711792,44.9090881348,28.2789916992,17.401763916,
11.8307037354,-0.725036621094,-4.75889587402,-7.83796691895,-3.76489257812,
-6.18388366699,-13.1139526367,-13.05027771,-15.1851959229,-23.5844726562,
-27.866394043,-33.0458984375,-45.8946380615,-41.540222168,-39.6210327148,
-37.6231689453,-32.947265625,-29.4743499756,-22.0828552246,-10.0008392334]
v_component = [7.38911437988,5.23355102539,0.636322021484,-3.75567626953,
0.167388916016,-3.12893676758,-3.60003662109,0.0688171386719,
0.305236816406,7.06889343262,8.10516357422,11.1141815186,
-2.29931640625,3.08065795898,7.5965423584,11.0112915039,
13.6437530518,11.2753143311,11.1552124023,13.1494903564,
6.01538085938,1.37588500977,-0.0724334716797,-0.953598022461,-0.508377075195]
We can pass these arrays to Magics using the minput object . Check the Input Data Documentation for more information about the parameters.
We want to plot these winds as red falgs on the vertical of -20.
The mgraph object can then be used to preform the visualisation. All the parameters can be found in the Graph Plotting Page.
Do not forget the add a legend with a meaningful text!
Section |
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Column |
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| Info |
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Useful input parameters |
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input_x_values | input_y_values | input_x_component_values | input_y_component_values |
Useful graph parameters |
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graph_type | graph_flag_colour | graph_flag_length | legend | legend_user_text |
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Code Block |
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theme | Confluence |
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language | python |
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title | Python - Adding New-York City |
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collapse | true |
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| # importing Magics module
from Magics.macro import *
# define the output
output = output(output_formats=['png'],
output_name_first_page_number='off',
output_name="profile_step2")
projection = mmap(
subpage_map_projection='cartesian',
subpage_x_axis_type='regular',
subpage_y_axis_type='logarithmic',
subpage_x_min=-70.,
subpage_x_max=20.,
subpage_y_min=1020.,
subpage_y_max=10.,)
#define the 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_font='arial',
axis_title_font_style='bold',
axis_title_height=1.,
)
# define the horizontal axis
horizontal = maxis(
axis_orientation='horizontal',
axis_type='regular',
axis_tick_label_height=0.4,
axis_tick_label_colour='charcoal',
axis_grid='on',
axis_grid_colour='charcoal',
axis_grid_thickness=1,
axis_grid_reference_level=0.,
axis_grid_reference_line_style='solid',
axis_grid_reference_thickness=1,
axis_grid_line_style='dash',)
levels = [1.,2.,3,5,7,10,20,30,50,70,100,150,200,250,300,400,500,600,700,800,850,900,925,950,1000]
kelvin = numpy.array([263.118652344,254.822738647,242.517868042,223.301025391,219.254943848,216.710174561,216.507095337,
215.398986816,211.643295288,207.18812561,207.172134399,217.097396851,
223.809326172,235.13168335,243.377059937,260.635147095,272.02935791,
272.145584106,273.448501587,279.562927246,281.745040894,285.503082275,287.543685913,289.284072876,292.170974731])
celsius = kelvin -273.16
# Define the input of the graph
data = minput(input_x_values = celsius,
input_y_values = levels, )
#define the graph action.
graph = mgraph( legend='on' ,
legend_user_text= 'Tempe',
graph_line_colour="navy",
graph_line_thickness= 3, )
plot(output, projection, vertical, horizontal, data, graph) |
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| Image Removed Image Added |
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