You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 4 Next »

 

 

Objectives

  • Set-Up a cartesian projection
  • Learn how to pass  arrays as input of curves
  • Learn how to use CSV files as input of curves
  • Add a text.
  • Create a layout

You will need to download

 

 

Profile: create the Cartesian Projection

For our vertical profile, we will need :

  • 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.

Parameters to check

Useful projection parameters

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
axis_orientation
axis_type
axis_grid

axis_grid_reference

axis_title
Python - set-up of cartesian projection 
# 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)

 

 

Profile: Using Arrays as Input of a Graph

Here is the list of levels, and the list of Temperature in Kelvin at each levels.

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 = ([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]

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.

Parameters to check

Useful input parameters

input_x_values

input_y_values
Useful graph parameters
graph_line_colour
graph_line_thickness
Python - Input data for graph 
# 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)

 

 

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!

Parameters 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
Python - Adding New-York City 
# 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)

 

 

  • No labels