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<div><h2 id="a0000000117">1.37.4 with</h2>
<p><a name="a0000001087" id="a0000001087"></a> </p><p>The <tt class="tt">with</tt> modifier controls the style in which data should be plotted. For example, the statement </p><pre>
plot "data.dat" index 1 using 4:5 with lines
</pre><p> specifies that data should be plotted using lines connecting each datapointto its neighbours. More generally, the <tt class="tt">with</tt> modifier can be followed by a range of settings which fine-tune the manner in which the data are displayed; for example, the statement </p><pre>
plot "data.dat" with lines linewidth 2.0
</pre><p> would use twice the default width of line. </p><p>The following is a complete list of all of PyXPlot’s plot styles – i.e. all of the words which may be used in place of <tt class="tt">lines</tt>: <tt class="tt">arrows_head</tt>, <tt class="tt">arrows_nohead</tt>, <tt class="tt">arrows_twohead</tt>, <tt class="tt">boxes</tt>, <tt class="tt">ColourMap</tt>, <tt class="tt">ContourMap</tt>, <tt class="tt">dots</tt>, <tt class="tt">FilledRegion</tt>, <tt class="tt">fsteps</tt>, <tt class="tt">histeps</tt>, <tt class="tt">impulses</tt>, <tt class="tt">lines</tt>, <tt class="tt">LinesPoints</tt>, <tt class="tt">LowerLimits</tt>, <tt class="tt">points</tt>, <tt class="tt">stars</tt>, <tt class="tt">steps</tt>, <tt class="tt">surface</tt>, <tt class="tt">UpperLimits</tt>, <tt class="tt">wboxes</tt>, <tt class="tt">XErrorBars</tt>, <tt class="tt">XErrorRange</tt>, <tt class="tt">XYErrorBars</tt>, <tt class="tt">XYErrorRange</tt>, <tt class="tt">XYZErrorBars</tt>, <tt class="tt">XYZErrorRange</tt>, <tt class="tt">XZErrorBars</tt>, <tt class="tt">XZErrorRange</tt>, <tt class="tt">YErrorBars</tt>, <tt class="tt">YErrorRange</tt>, <tt class="tt">YErrorShaded</tt>, <tt class="tt">YZErrorBars</tt>, <tt class="tt">YZErrorRange</tt>, <tt class="tt">ZErrorBars</tt>, <tt class="tt">ZErrorRange</tt>. In addition, <tt class="tt">lp</tt> and <tt class="tt">pl</tt> are recognised as abbreviations for <tt class="tt">linespoints</tt>; <tt class="tt">errorbars</tt> is recognised as an abbreviation for <tt class="tt">yerrorbars</tt>; <tt class="tt">errorrange</tt> is recognised as an abbreviation for <tt class="tt">yerrorrange</tt>; and <tt class="tt">arrows_twoway</tt> is recognised as an alternative for <tt class="tt">arrows_twohead</tt>. </p><p>As well as the names of these plot styles, the <tt class="tt">with</tt> modifier can also be followed by style modifiers such as <tt class="tt">linewidth</tt> which alter the exact appearance of various plot styles. A complete list of these is as follows: </p><ul class="itemize">
<li><p><tt class="tt">colour</tt><a name="a0000001088" id="a0000001088"></a> – used to select the colour in which each dataset is to be plotted. It should be followed either by an integer, to set a colour from the present palette (see Section <a href="sec-palette.html">1.1.1</a>), or by a recognised colour name, a complete list of which can be found in Section <a href="sec-colour_names.html">8.4</a>. Alternatively, arbitrary colours may be specified by using one of the forms <tt class="tt">rgb0.1:0.2:0.3</tt>, <tt class="tt">hsb0.1:0.2:0.3</tt> or <tt class="tt">cmyk0.4:0.3:0.2:0.1</tt>, where the colon-separated values indicate the RGB, HSB or CMYK components of the desired colour in the range 0 to 1. This modifier may also be spelt <tt class="tt">color</tt>.<a name="a0000001089" id="a0000001089"></a> </p></li><li><p><tt class="tt">fillcolour</tt><a name="a0000001090" id="a0000001090"></a> – used to select the colour in which each dataset is filled. The colour may be specified using any of the styles listed for <tt class="tt">colour</tt>. May also be spelt <tt class="tt">fillcolour</tt>. </p></li><li><p><tt class="tt">linetype</tt><a name="a0000001091" id="a0000001091"></a> – used to numerically select the type of line – for example, solid, dotted, dashed, etc. – which should be used in line-based plot styles. A complete list of PyXPlot’s numbered line types can be found in Chapter <a href="ch-linetypes_table.html">7</a>. May be abbreviated <tt class="tt">lt</tt>. </p></li><li><p><tt class="tt">linewidth</tt><a name="a0000001092" id="a0000001092"></a> – used to select the width of line which should be used in line-based plot styles, where unity represents the default width. May be abbreviated <tt class="tt">lw</tt>. </p></li><li><p><tt class="tt">pointlinewidth</tt><a name="a0000001093" id="a0000001093"></a> – used to select the width of line which should be used to stroke points in point-based plot styles, where unity represents the default width. May be abbreviated <tt class="tt">plw</tt>. </p></li><li><p><tt class="tt">pointsize</tt><a name="a0000001094" id="a0000001094"></a> – used to select the size of drawn points, where unity represents the default size. May be abbreviated <tt class="tt">ps</tt>. </p></li><li><p><tt class="tt">pointtype</tt><a name="a0000001095" id="a0000001095"></a> – used to numerically select the type of point – for example, crosses, circles, etc. – used by point-based plot styles. A complete list of PyXPlot’s numbered point types can be found in Chapter <a href="ch-linetypes_table.html">7</a>. May be abbreviated <tt class="tt">pt</tt>. </p></li>
</ul><p>Any number of these modifiers may be placed sequentially after the keyword <tt class="tt">with</tt>, as in the following examples: </p><pre>
plot 'datafile' using 1:2 with points pointsize 2
plot 'datafile' using 1:2 with lines colour red linewidth 2
plot 'datafile' using 1:2 with lp col 1 lw 2 ps 3
</pre><p>Where modifiers take numerical values, expressions of the form <tt class="tt">$2+1</tt>, similar to those supplied to the <tt class="tt">using</tt> modifier, may be used to indicate that each datapoint should be displayed in a different style or in a different colour. The following example would plot a datafile with <tt class="tt">points</tt>, drawing the position of each point from the first two columns of the supplied datafile and the size of each point from the third column: </p><pre>
plot 'datafile' using 1:2 with points pointsize $3
</pre></div>
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