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Comment: Migrated to Confluence 5.3

 

 

Section
Column
width250px

Column
width60%
Panel

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

...

  • 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.

...

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

 Image Removed

 

Time Series: Setting the Cartesian Projection for the Mean Sea Level Pressure time series

In this exercise, we will learn how to setup a date Coordinate, and browse the parameters available to style the style a date axis.

We want

  • 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 hPa

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

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

 Image Added

 

Time Series: Setting the Cartesian Projection for the Mean Sea Level Pressure time series

In this exercise, we will learn how to setup a date Coordinate, and browse the parameters available to style the style a date axis.

We want

  • 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 1050 hPa

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

Section
Column
width50%
Info
titleParameters to check

 

 

Useful projection parameters

subpage_map_projection

subpage_x_axis_type
subpage_y_axis_type
subpage_x_date_min
subpage_y_min
subpage_x_date_max
subpage_y_max
Useful axis parameters
axis_orientation
axis_type
Code Block
themeConfluence
languagepython
titlePython - Date Coordinates system
collapsetrue
 # importing Magics module
from Magics.macro import *
# define the output
output = output(output_formats=['png'],
        output_name_first_page_number='off',
        output_name="time_serie_step1")
projection = mmap(
    subpage_map_projection='cartesian',
    subpage_x_axis_type='date',
    subpage_y_axis_type='regular',   
    subpage_x_date_min='2012-10-27 00:00:00',
    subpage_x_date_max='2012-11-02 12:00:00',
    subpage_y_max=1050.,
    subpage_y_min=950.,
    )
# Vertical axis
vertical = maxis(
    axis_orientation='vertical',
    axis_grid='on',
    axis_type='regular',
    axis_tick_label_height=0.4,
    axis_tick_label_colour='charcoal',
    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',
    axis_title='on',
    axis_title_text='Pressure',
    axis_title_font='arial',
    axis_title_height=0.5,
    )
# Horizontal axis
horizontal = maxis(
    axis_orientation='horizontal',
    axis_type='date',
    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)
Column
width200px

 Image Added

 

 

Time Series: Using a CSV file as input of a curve

The values for our time series are in CSV (Comma-Separeted-Value) ascii file called msl.csv.

Code Block
titlefirst few lines of msl.csv
1,2012-10-27 00:00:00,1020.64125,0
2,2012-10-27 12:00:00,1017.261875,0.1220703125
3,2012-10-28 00:00:00,1014.27125,-9.58071727163e-21
4,2012-10-28 12:00:00,1011.97375,-2.80979885101e-20

The valid date is defined in the second column, the value of msl in the third.

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 then be used to define the curve attributes. All the parameters can be found in the Graph Plotting Page.

You can always add a title using the mtext object.

Section
Column
width50%
Info
titleParameters to check

 

 

Useful table parameters

table_filename

table_variable_identifier_type
table_x_type
table_x_variable
table_y_variable
table_header_row
Useful graph parameters
graph_line_colour
legend
legend_user_text
Code Block
themeConfluence
languagepython
titlePython - CSV file
collapsetrue
# importing Magics module
from Magics.macro import *
# define the output
output = output(output_formats=['png'],
        output_name_first_page_number='off',
        output_name="time_serie_step2")
projection = mmap(
    subpage_map_projection='cartesian',
    subpage_x_axis_type='date',
    subpage_y_axis_type='regular',   
    subpage_x_date_min='2012-10-27 00:00:00',
    subpage_x_date_max='2012-11-02 12:00:00',
    subpage_y_max=1050.,
    subpage_y_min=950.,
    )
# Vertical axis
vertical = maxis(
    axis_orientation='vertical',
    axis_grid='on',
    axis_type='regular',
    axis_tick_label_height=0.4,
    axis_tick_label_colour='charcoal',
    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',
    axis_title='on',
    axis_title_text='Pressure',
    axis_title_font='arial',
    axis_title_height=0.5,
    )
# Horizontal axis
horizontal = maxis(
    axis_orientation='horizontal',
    axis_type='date',
    axis_tick_label_height=0.4,
    axis_tick_label_colour='charcoal',
    axis_grid='on',
    axis_grid_colour='charcoal
Section
Column
width50%

 

 

Info
titleParameters to check
Useful projection parameters

subpage_map_projection

subpage_x_axis_type
subpage_y_axis_type
subpage_x_date_min
subpage_y_min
subpage_x_date_max
subpage_y_max
Useful axis parameters
axis_orientation
axis_type
Code Block
themeConfluence
languagepython
titlePython - Date Coordinates system
collapsetrue
 # importing Magics module
from Magics.macro import *
# define the output
output = output(output_formats=['png'],
        output_name_first_page_number='off',
        output_name="time_serie_step1")
projection = mmap(
    subpage_map_projection='cartesian',
    subpage_x_axis_type='date',
    subpage_y_axis_type='regular',   
    subpage_x_date_min='2012-10-27 00:00:00',
    subpage_x_date_max='2012-11-02 12:00:00',
    subpage_y_max=1050.,
    subpage_y_min=950.,
    )
# Vertical axis
vertical = maxis(
    axis_orientation='vertical',
    axis_grid_thickness='on'1,
    axis_grid_line_typestyle='regulardash',)
#load the csv file, and define how to interpret it
data = axis_tick_label_height=0.4mtable(table_filename = "msl.csv",
    axistable_tickx_label_colourtype='charcoaldate',
    axistable_variable_grididentifier_colourtype='charcoalindex',
    axistable_gridx_thickness=1variable = "2",
    axistable_grid_reference_level=0.y_variable = "3",
    axistable_grid_reference_line_style='solid',
    axis_grid_reference_thickness=1,
    axis_grid_line_style='dash',
    axis_titleheader_row = 0
 )
#define the visualisation
graph = mgraph( legend='on' ,
    axislegend_titleuser_text='Pressure', '<font colour="navy" size="0.3"> Mean Sea Level</font>', 
    axisgraph_titleline_font='arial',colour="navy", 
    axisgraph_titleline_height=0.5,
    )
# Horizontal axis
horizontal = maxis(
thickness= 3, )
#add a title
title = mtext(
            axistext_orientationlines='horizontal',
    axis_type='date' ['Mean Sea Level plotted as curve...', ],
    axis_tick_label_height=0.4,
    axis_tick_label_colour='charcoal',
    axistext_gridhtml= 'ontrue',
    axis_grid_colour='charcoal',
    axis_grid_thickness=1,
    axis_grid_line_style='dashtext_justification= 'left',
     )
    
plot(output, projection, horizontal, vertical)
Column
width200px

 Image Removed

 

 

Time Series: Using a CSV file as input of a curve

The values for our time series are in CSV (Comma-Separeted-Value) ascii file called msl.csv.

Code Block
titlefirst few lines of msl.csv
1,2012-10-27 00:00:00,1020.64125,0
2,2012-10-27 12:00:00,1017.261875,0.1220703125
3,2012-10-28 00:00:00,1014.27125,-9.58071727163e-21
4,2012-10-28 12:00:00,1011.97375,-2.80979885101e-20

The valid date is defined in the second column, the value of msl in the third.

This information need to be given to Magics . This can be done with the mtable data action.

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

You can always add a title using the mtext object.

...

width50%

...

titleParameters to check
 text_font_size= 0.8,
            text_colour= 'charcoal',
        )
plot(output, projection, horizontal, vertical, data, graph, title)
Column
width200px

 

 Image Added

Time Series : Using Automatic Axis and bar plotting

Magics can automatically set-up the coordinates system according to the plotted data.

In this exercise, we will use this functionality to draw the time series of the precipitation.

  • The horizontal date coordinate system is set automatically.
  • The vertical coordinate system is regular going from 0 to 5

The data will be pass to Magics using arrays:

dates = ["2012-10-27 00:00:00","2012-10-27 12:00:00","2012-10-28 00:00:00",
        "2012-10-28 12:00:00","2012-10-29 00:00:00","2012-10-29 12:00:00",
        "2012-10-30 00:00:00","2012-10-30 12:00:00",
        "2012-10-31 00:00:00","2012-10-31 12:00:00",
        "2012-11-01 00:00:00","2012-11-01 12:00:00",
        "2012-11-02 00:00:00","

 

 

Useful table parameters

table_filename

table_variable_identifier_type
table_x_type
table_x_variable
table_y_variable
table_header_row
Useful graph parameters
graph_line_colour
legend
legend_user_text

...

themeConfluence
languagepython
titlePython - Input data and Flags plotting
collapsetrue

...

2012-11-02 12:00:00"]
precip = [0.,0.1220703125,0.,0., 0., 3.16429138184,
            2.18200683594,1.75476074219,0,0,0,0,0,0.]

We want to display the information using bar plotting. 

We will perhaps need to check quickly

Section
Column
width50%
Info
titleParameters to check

 

 

Useful projection parameters

subpage_x_automatic

Useful input parameters

input_x_type

input_date_x_values
input_y_values
input_y2_values
Useful graph parameters
graph_type
graph_bar_line_colour
graph_shade_colour
legend
legend_user_text
Code Block
themeConfluence
languagepython
titlePython - Automatic projection and bar 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="time_serie_step3")
# Setting the cartesian view
projection = mmap(
    subpage_map_projection='cartesian',
    subpage_x_',
    subpage_y_max=1050.,
    subpage_y_min=950.,
    )
# Vertical axis
vertical = maxis(
    axis_orientation='vertical',
    axis_grid='on',
    axis_type='regular',
    axis_tick_label_height=0.4,
    axis_tick_label_colour='charcoal',
    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',
    axis_title='on',
    axis_title_text='Pressure',
    axis_title_font='arial',
    axis_title_height=0.5,
    )
# Horizontal axis
horizontal = maxis(
    axis_orientation='horizontal',
    axis_type='date',
    axissubpage_tick_label_height=0.4,
    axis_tick_label_colour='charcoal',
    axis_grid='on',y_axis_type='regular',   
    axissubpage_gridx_colourautomatic='charcoalon',
    axissubpage_gridy_thicknessmax=15.,
    axissubpage_gridy_line_style='dash',)
#load the csv file, and define how to interpret it
data = mtable(table_filename = "msl.csv",min=0.,
    )
    
# Vertical axis
vertical = maxis(
    tableaxis_x_typeorientation='datevertical',
    table_variable_identifier_typeaxis_grid='indexon',
    table_x_variable = "2",
    table_y_variable = "3"axis_type='regular',
    tableaxis_tick_headerlabel_row height= 0.4,
 )
#define  the visualisation
graph = mgraph( legend='on'  axis_tick_label_colour='charcoal',
    axis_grid_colour='charcoal',
    legendaxis_usergrid_textthickness=1,
 '<font colour="navy" size="0.3"> Mean Sea Level</font>',    axis_grid_reference_level=0.,
    axis_grid_reference_line_style='solid',
    graphaxis_grid_linereference_colourthickness="navy"1, 
    graphaxis_grid_line_thicknessstyle='dash',
 3, )
#add a axis_title='on',
title = mtext(
  axis_title_text='Amount of rain',
    axis_title_font='arial',
    textaxis_title_lines= ['Mean Sea Level plotted as curve...', ],
        height=0.5,
    )
# Horizontal axis
horizontal = maxis(
    axis_orientation='horizontal',
    textaxis_htmltype= 'truedate',
    axis_tick_label_height=0.4,
    axis_tick_label_colour='charcoal',
    textaxis_justificationgrid= 'lefton',
    axis_grid_colour='charcoal',
    axis_grid_thickness=1,
     text_font_size= 0.8axis_grid_line_style='dash',
    )
dates = ["2012-10-27 00:00:00","2012-10-27 12:00:00","2012-10-28 00:00:00",
    "2012-10-28  text_colour= 'charcoal'12:00:00","2012-10-29 00:00:00","2012-10-29 12:00:00",
        )
plot(output, projection, horizontal, vertical, data, graph, title)
Column
width200px

 

 Image Removed

Time Series : Using Automatic Axis and bar plotting

Magics can automatically set-up the coordinates system according to the plotted data.

In this exercise, we will use this functionality to draw the time series of the precipitation.

  • The horizontal date coordinate system is set automatically.
  • The vertical coordinate system is regular going from 0 to 5

The data will be pass to Magics using arrays:

...

"2012-10-30 00:00:00","2012-10-30 12:00:00",
    "2012-10-31 00:00:00","2012-10-31 12:00:00",
    "2012-11-01 00:00:00","2012-

...

11-

...

01 12:00:00",
    "2012-

...

11-

...

02 00:00:00",

...

"2012-

...

11-

...

02 12:00:00"

...

]
    
precip = [0.,0.1220703125,0.,0., 0., 3.16429138184,
        2.18200683594,1.75476074219,0,0,0,0,0,0.]
#defining the data 
data = minput(
    input_x_type='date',
    input_date_x_values= dates,
    input_y2_values= precip,
    input_y_values= [0.] * len(precip),
     )
#defining the visualisation
bar = mgraph( legend='on' ,
        graph_type ='bar',
        graph_bar_line_colour = "navy",
        graph_shade_colour = "evergreen",
        legend_user_text= '<font colour ="evergreen" size="0.4"> Precipitation </font>', 
        graph_line_colour="navy", 
        graph_bar_width = 3600.00 *6,
        graph_line_thickness= 3, )
#adding a title  
title = mtext(
        text_lines=  ['Precipitation as Bar Plotting..', ],
        text_html= 'true',
        text_justification= 'left',
        text_font_size= 0.8,
        text_colour= 'charcoal',
    )
plot(output, projection, vertical, horizontal, data, bar, title)
Column
width200px

 

 Image Added

Finally, A bit of layout ...

On our image, we want to create 3 pages.. We will use the pseudo action page to do that..

Gliffy Diagram
namelayout

The position of the page is set with the 4 following parameters

  • page_x_position / page_y_position : to position in cm the bottom left corner of the page in its parent
  • page_x_length / page_y_length : the dimension in cm.

The drawing area ( where the plotting is rendered) is called subpage and can position into the page using the 4 following parameters

  • subpage_x_position / subpage_y_position : to position in cm the bottom left corner of the drawing area (subpage)  in its parent page.
  • subpage_x_length / subpage_y_length : the dimension in cm.

 

Section
Column
width50%
Info
titleParameters to check

 

 

Useful page parameters

layout

page_x_position
page_y_position
page_x_length
page_y_length
subpage_x_position
subpage_y_position
subpage_x_length
subpage_y_length
page_id_line
page_frame
Code Block
themeConfluence
languagepython
titlePython - complex layout
collapsetrue
# importing Magics module
from Magics.macro import *
from profile import profile
from timeserie import msl_timeserie
from timeserie import precip_timeserie
#Setting the output
output = output(output_name = 'layout', 
                output_formats = ["png"],
                output_name_first_page_number = "off")
profile_left = page(
        layout='positional',
        page_frame='off', 
        page_x_length=15., 
        page_id_line='off',
        subpage_y_length=17.,
        )
        
graph_bottom = page(
        layout='positional',
        page_frame='off', 
        page_x_length=15., 
        page_y_length= 10., 
        page_id_line='off',
        page_x_position=15., 
        page_y_position=0.5,
        subpage_x_position=1.5,
        subpage_y_position=0.5,
        subpage_y_length=7.,
        )
        
graph_top = page(
        layout='positional
        "2012-10-30 00:00:00","2012-10-30 12:00:00",
        "2012-10-31 00:00:00","2012-10-31 12:00:00",
        "2012-11-01 00:00:00","2012-11-01 12:00:00",
        "2012-11-02 00:00:00","2012-11-02 12:00:00"]
precip = [0.,0.1220703125,0.,0., 0., 3.16429138184,
            2.18200683594,1.75476074219,0,0,0,0,0,0.]

We want to display the information using bar plotting. 

We will perhaps need to check quickly

Section
Column
width50%

 

 

Info
titleParameters to check
Useful projection parameters

subpage_x_automatic

Useful input parameters

input_x_type

input_date_x_values
input_y_values
input_y2_values
Useful graph parameters
graph_type
graph_bar_line_colour
graph_shade_colour
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="time_serie_step3")
# Setting the cartesian view
projection = mmap(
    subpage_map_projection='cartesian',
    subpage_x_axis_type='date',
    subpage_y_axis_type='regular',   
    subpage_x_automatic='on',
    subpage_y_max=5.,
    subpage_y_min=0.,
    )
    
# Vertical axis
vertical = maxis(
    axis_orientation='vertical',
    axis_grid='on',
    axis_type='regular',
    axis_tick_label_height=0.4,
    axis_tick_label_colour='charcoal',
    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',
    axis_title='on',
    axis_title_text='Amount of rain',
    axis_title_font='arial',
    axis_title_height=0.5,
    )
# Horizontal axis
horizontal = maxis(
    axis_orientation='horizontal',
    axis_type='date',
    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',
    )
dates = ["2012-10-27 00:00:00","2012-10-27 12:00:00","2012-10-28 00:00:00",
    "2012-10-28 12:00:00","2012-10-29 00:00:00","2012-10-29 12:00:00",
    "2012-10-30 00:00:00","2012-10-30 12:00:00",
    "2012-10-31 00:00:00","2012-10-31 12:00:00",
    "2012-11-01 00:00:00","2012-11-01 12:00:00",
    "2012-11-02 00:00:00","2012-11-02 12:00:00"]
    
precip = [0.,0.1220703125,0.,0., 0., 3.16429138184,
        2.18200683594,1.75476074219,0,0,0,0,0,0.]
#defining the data 
data = minput(
    input_x_type='date',
    input_date_x_values= dates,
    input_y2_values= precip,
    input_y_values= [0.] * len(precip),
     )
#defining the visualisation
bar = mgraph( legend='on' ,
        graph_type ='bar',
        graph_bar_line_colour = "navy",page_frame='off', 
        graphpage_shadex_colour length= "evergreen",15., 
        legendpage_usery_text= '<font colour ="evergreen" size="0.4"> Precipitation </font>'length=10., 
        graphpage_id_line_colour="navy", ='off',
        graphpage_barx_width position= 3600.00 *615.,
        graphpage_liney_thickness= 3position=10.5, )
#adding    a title  
title = mtext(subpage_x_position=1.5,
        textsubpage_y_lines=  ['Precipitation as Bar Plotting..', ],position=0.5,    
        textsubpage_y_html= 'true'length=7.,
        text_justification= 'left',
    )
plot(output, 
    text_fontprofile_left, profile(title_size= 0.86),
        text_colour= 'charcoal'graph_bottom, msl_timeserie(title_size=0.6),
    )
plot(output, projection, vertical, horizontal, data, bar, titlegraph_top, precip_timeserie(title_size=0.6),
    )

 

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