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Comment: Migrated to Confluence 5.3

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  • a horizontal regular axis for a temperature range going from -60oC to 20oC.
  • a vertical logarithmic axis going from 1020 hPa to 10 hPa

Have a look at the Subpage Documentation and at the Axis Plotting Documentation, and try to get the 0oC grid line highlighted.

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We want to plot these winds as red falgs flags on the vertical of -20.

The mgraph object can then be used to  to preform the visualisation. All the parameters can be found in the Graph Plotting Page.

Do not forget the to add a legend with a some meaningful text!

Section
Column
width50%
Info
titleParameters to check

 


 

Useful input parameters

input_x_values

input_y_values
input_x_component_values
input_y_component_values
Useful graph parameters
graph_type
graph_flag_colour
graph_flag_length
legend
legend_user_text
Code Block
themeConfluence
languagepython
titlePython - Input data and Flags plotting
collapsetrue
# 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, )
#define the input for the wind plotting
wind_position = [-20.] * len(levels)
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]
wind = minput(
        input_y_component_values = v_component,
        input_x_values = wind_position,
        input_x_component_values = u_component,
        input_y_values = levels)
#define wind plotting
flags = mgraph(graph_type = "flag",
        graph_flag_colour = "red",
        legend = "on",
        graph_flag_length = 1.00,
        legend_user_text = " Wind ")

 plot(output, projection, vertical, horizontal, data, graph, wind, flags)
Column
width200px

 

 

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  • a horizontal date axis going from the 2012-10-27at  00:00:00 to 2012-11-02 12:00:00
  • a vertical regular axis  going from 950 hPa to 1005 1050 hPa

Have a look at the Subpage Documentation and at the Axis Plotting Documentation,

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This information need to be given to Magics . This can be done with the mtable data action,. See the full documentation.

The mgraph action will the then be used to define the curev curve attributes. All the parameters can be found in the Graph Plotting Page.

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We will perhaps need to check quickly

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