File: s4_save_plots.rst

package info (click to toggle)
bioxtasraw 2.3.1-1
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid
  • size: 275,072 kB
  • sloc: python: 74,496; makefile: 29; sh: 21
file content (182 lines) | stat: -rw-r--r-- 6,733 bytes parent folder | download | duplicates (2)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
Customizing and saving plots
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.. _raw_save_plot:

This tutorial covers how to customize plots in RAW and save plots from RAW.
Note that RAW is not meant to be a program for making publication quality
plots, and has a number of limitations when it comes to plots, but some people
find it convenient to use the plots made in RAW for various purposes.

The written version of the tutorial follows.

Customizing plots in RAW
*****************************

#.  Load the **glucose_isomerase.dat** dataset in the reconstruction_data folder.

#.  Use the "1" button in the plot toolbar at the bottom of the RAW window to
    show just the Main Plot.

    |show_plot1_png|

#.  Right click on the plot and select "Plot Options..." in the right click menu.

    *   *Note:* Plot options only affects the plot you click on. Each plot has its
        own set of options.

    |show_plot_options_png|

#.  In the options window that opens, do the following: remove the plot title,
    turn on the legend, change the font for all items to Arial.

    *   *Note:* Not all fonts are available on all systems, you may have to select
        a different font.

    |plot_options1_png|

#.  In the options window, do the following: Turn on the Top and Right borders,
    Change the x-axis label to give the q units, as "$q$ $[1/\\AA]$". Click "Okay"
    to exit the plot options window.

    *   *Tip:* Anything inside of "$" signs in a plot label or legend label is
        parsed as a TeX markup, which allows you to use special symbols like
        the angstrom symbol, Å, as $\\AA$. A useful guide to allowed formatting
        and special characters input can be found in the matplotlib documentation:
        https://matplotlib.org/stable/tutorials/text/mathtext.html

    |plot_options2_png|

#.  Checkpoint. Your plot should now look like this

    |plot_checkpoint1_png|

#.  Adjust the size of the RAW window to adjust the aspect ratio of the plot and
    make it roughly square.

#.  Use the horizontal slider bar button in the plot toolbar to open the margin
    adjustment for the plot.

    |plot_margins1_png|

#.  In the window that opens, use the left, right, top, and bottom sliders
    to bring the edges of the plot close to the edges of the window. Close the
    margin adjustment window when done.

    |plot_margins2_png|

#.  Click on the colored line in the glucose_isomerase.dat item in the Profiles
    Control Panel to open the Line Properties window.

    |plot_line_properties1_png|

#.  In the Line Properties window, set the Legend Label to "Glucose Isomerase",
    Set the Line "Style" to "None". Set the Data Point Marker "Marker" to ".".
    Set the marker "Size" to "4". Set all the Colours to green. Set the Error
    Bars "Width" to 0.25. Click "OK" to exit the line properties dialog.

    |plot_line_properties2_png|

#.  Use the error bar button in the plot toolbar  to turn on error bars for
    the plot.

    |plot_errorbars_png|

#.  Checkpoint. Your plot should now look like this:

    |plot_checkpoint2_png|

#.  Open the plot Options dialog again. Turn off autolimits and adjust the y limits
    To have a minimum of 2e-5 and a maximum of 0.065.

    *   *Tip:* You can also use the crossed arrows and the magnifying glass
        in the plot toolbar to adjust the scale of the plot.

    |plot_options3_png|

#.  Click on the legend text ("Glucose Isomerase") and drag the legend to a new
    position in the plot (e.g. a bit further away from the top right corner).

#.  You've now adjusted everything that you can about the plot in RAW. Your plot
    should look like this:

    |plot_checkpoint3_png|


Note: All of the main plots in RAW ("Profiles", "IFTs", "Series") can be
customized in a similar way. All of the items in the control panel have
the line options dialogs. All of the plots have plot options. Analysis
plots (such as the Guinier plot) don't generally have most of these customization
options. All of the analysis plots will have the ability to set the margins and
to zoom/drag to adjust what's visible, not nothing else. The exception to this
is the Dimensionless Krakty plot, where you can adjust the line color (but nothing else).

Note: You can customize plot 1, plot 2, or plots 1 and 2 in panels with multiple plots.
This example used only plot 1 for convenience, but you could use either or both plots
as desired.


Saving plots in RAW
*****************************

#.  Click the Save icon in the plot toolbar at the bottom of the plot window to
    open the save dialog.

    |plot_save_png|

#.  Select an appropriate file type, filename, and location, then save the image.

Note: We recommend using vector graphics formats for plots that you'll be including
in presentations or papers. Vector graphics are images that can be rescaled
(preserving aspect ratio) arbitrarily without loss of quality. We recommend the
"Scalable Vector Graphics" (.svg) format for vector graphics saved with
RAW, but you can select other options as it suits your needs. For raster
graphics (e.g. images with a defined set of pixels) we recommend "Portable
Network File" (.png) as it has lossless compression.


.. |show_plot1_png| image:: images/show_plot1.png
    :target: ../_images/show_plot1.png

.. |show_plot_options_png| image:: images/show_plot_options.png
    :target: ../_images/show_plot_options.png

.. |plot_options1_png| image:: images/plot_options1.png
    :target: ../_images/plot_options1.png

.. |plot_options2_png| image:: images/plot_options2.png
    :target: ../_images/plot_options2.png

.. |plot_checkpoint1_png| image:: images/plot_checkpoint1.png
    :target: ../_images/plot_checkpoint1.png

.. |plot_margins1_png| image:: images/plot_margins1.png
    :target: ../_images/plot_margins1.png
    :width: 400 px

.. |plot_margins2_png| image:: images/plot_margins2.png
    :target: ../_images/plot_margins2.png

.. |plot_line_properties1_png| image:: images/plot_line_properties1.png
    :target: ../_images/plot_line_properties1.png
    :width: 400 px

.. |plot_line_properties2_png| image:: images/plot_line_properties2.png
    :target: ../_images/plot_line_properties2.png
    :width: 450 px

.. |plot_errorbars_png| image:: images/plot_errorbars.png
    :target: ../_images/plot_errorbars.png
    :width: 400 px

.. |plot_checkpoint2_png| image:: images/plot_checkpoint2.png
    :target: ../_images/plot_checkpoint2.png

.. |plot_options3_png| image:: images/plot_options3.png
    :target: ../_images/plot_options3.png

.. |plot_checkpoint3_png| image:: images/plot_checkpoint3.png
    :target: ../_images/plot_checkpoint3.png

.. |plot_save_png| image:: images/plot_save.png
    :target: ../_images/plot_save.png
    :width: 400 px