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    <title>MaplePrimes - answers and comments on Question, How could I always get the 10^(-n) y-axis numeric mark with logplot?</title>
    <link>http://www.mapleprimes.com/questions/130337-How-Could-I-Always-Get-The-10n-Yaxis</link>
    <language>en-us</language>
    <copyright>2026 Maplesoft, A Division of Waterloo Maple Inc.</copyright>
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    <lastBuildDate>Sat, 13 Jun 2026 21:02:29 GMT</lastBuildDate>
    <pubDate>Sat, 13 Jun 2026 21:02:29 GMT</pubDate>
    <itunes:subtitle />
    <itunes:summary />
    <description>The latest answers and comments added to the Question, How could I always get the 10^(-n) y-axis numeric mark with logplot?</description>
    <image>
      <url>http://www.mapleprimes.com/images/mapleprimeswhite.jpg</url>
      <title>MaplePrimes - answers and comments on Question, How could I always get the 10^(-n) y-axis numeric mark with logplot?</title>
      <link>http://www.mapleprimes.com/questions/130337-How-Could-I-Always-Get-The-10n-Yaxis</link>
    </image>
    <item>
      <title>Suggestion</title>
      <link>http://www.mapleprimes.com/questions/130337-How-Could-I-Always-Get-The-10n-Yaxis?ref=Feed:MaplePrimes:How could I always get the 10^(-n) y-axis numeric mark with logplot?:Comments#answer130339</link>
      <itunes:summary>&lt;p&gt;The usage of the tickmarks option&amp;nbsp; helps. Compare&lt;/p&gt;
&lt;p&gt;&amp;gt; with(plots):&lt;br&gt;&amp;gt; logplot(exp(-x), x = .1 .. 10, tickmarks = [default, spacing(10^(-20))]);&lt;/p&gt;
&lt;p&gt;&lt;img src="data:image/png;base64,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" alt=""&gt;&lt;/p&gt;
&lt;p&gt;with the output of&lt;/p&gt;
&lt;p&gt;&lt;img src="data:image/png;base64,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" alt=""&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src="data:image/png;base64,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" alt=""&gt;&lt;br&gt;&lt;br&gt;&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;The usage of the tickmarks option&amp;nbsp; helps. Compare&lt;/p&gt;
&lt;p&gt;&amp;gt; with(plots):&lt;br&gt;&amp;gt; logplot(exp(-x), x = .1 .. 10, tickmarks = [default, spacing(10^(-20))]);&lt;/p&gt;
&lt;p&gt;&lt;img src="data:image/png;base64,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" alt=""&gt;&lt;/p&gt;
&lt;p&gt;with the output of&lt;/p&gt;
&lt;p&gt;&lt;img src="data:image/png;base64,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" alt=""&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src="data:image/png;base64,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" alt=""&gt;&lt;br&gt;&lt;br&gt;&lt;/p&gt;</description>
      <guid>130339</guid>
      <pubDate>Sun, 05 Feb 2012 12:37:48 Z</pubDate>
      <itunes:author>Markiyan Hirnyk</itunes:author>
      <author>Markiyan Hirnyk</author>
    </item>
    <item>
      <title>Possible way</title>
      <link>http://www.mapleprimes.com/questions/130337-How-Could-I-Always-Get-The-10n-Yaxis?ref=Feed:MaplePrimes:How could I always get the 10^(-n) y-axis numeric mark with logplot?:Comments#answer130340</link>
      <itunes:summary>&lt;p&gt;Unfortunately, I haven't found a way for keeping such a format. So everything had to be done by hand. If you need this often, you can write the procedure.&lt;/p&gt;
&lt;p&gt;See an example:&lt;br&gt;&amp;nbsp;&lt;/p&gt;
&lt;form name="worksheet_form"&gt;
&lt;table style="width: 576px;" align="center"&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;img src="/view.aspx?sf=130340/429991/9ce5b0809533971c849ce91f42fa2709.gif" alt="plot(exp(-x), x = 0 .. 10, axis[2] = [mode = log], tickmarks = [default, [seq(10^(-i) = 10^convert(-i, symbol), i = 0 .. 4, .5)]])" width="576" height="58" align="middle"&gt;&lt;/p&gt;
&lt;table&gt;
&lt;tbody&gt;
&lt;tr valign="baseline"&gt;
&lt;td&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="center"&gt;&lt;a href="http://www.maplesoft.com/support/faqs/MapleNet/redirect.aspx?param=plot_java_14206"&gt;&lt;img style="border: none;" src="/view.aspx?sf=130340/429991/b33a67fb619a762f6f161db582ffe05b.gif" alt="" width="576" height="448" align="middle"&gt;&lt;/a&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td style="color: #000000; font-family: Times, serif; font-weight: bold; font-style: normal;" align="right"&gt;&amp;nbsp;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;img src="/view.aspx?sf=130340/429991/56d07fc993ef33df7af281e308eb2c80.gif" alt="``" width="11" height="23"&gt;&lt;/p&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;img src="/view.aspx?sf=130340/429991/c1dd4c65847012f759837c11ae903901.gif" alt="``" width="11" height="23"&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;input type="hidden" name="sequence" value="1"&gt; &lt;input type="hidden" name="cmd" value="none"&gt;&lt;/form&gt;
&lt;p&gt;&lt;br&gt; &lt;/p&gt;
&lt;p&gt;&lt;a href="/view.aspx?sf=130340/429991/mod=log.mw"&gt;Download mod=log.mw&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;Unfortunately, I haven't found a way for keeping such a format. So everything had to be done by hand. If you need this often, you can write the procedure.&lt;/p&gt;
&lt;p&gt;See an example:&lt;br&gt;&amp;nbsp;&lt;/p&gt;
&lt;form name="worksheet_form"&gt;
&lt;table style="width: 576px;" align="center"&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;img src="/view.aspx?sf=130340/429991/9ce5b0809533971c849ce91f42fa2709.gif" alt="plot(exp(-x), x = 0 .. 10, axis[2] = [mode = log], tickmarks = [default, [seq(10^(-i) = 10^convert(-i, symbol), i = 0 .. 4, .5)]])" width="576" height="58" align="middle"&gt;&lt;/p&gt;
&lt;table&gt;
&lt;tbody&gt;
&lt;tr valign="baseline"&gt;
&lt;td&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="center"&gt;&lt;a href="http://www.maplesoft.com/support/faqs/MapleNet/redirect.aspx?param=plot_java_14206"&gt;&lt;img style="border: none;" src="/view.aspx?sf=130340/429991/b33a67fb619a762f6f161db582ffe05b.gif" alt="" width="576" height="448" align="middle"&gt;&lt;/a&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td style="color: #000000; font-family: Times, serif; font-weight: bold; font-style: normal;" align="right"&gt;&amp;nbsp;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;img src="/view.aspx?sf=130340/429991/56d07fc993ef33df7af281e308eb2c80.gif" alt="``" width="11" height="23"&gt;&lt;/p&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;img src="/view.aspx?sf=130340/429991/c1dd4c65847012f759837c11ae903901.gif" alt="``" width="11" height="23"&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;input type="hidden" name="sequence" value="1"&gt; &lt;input type="hidden" name="cmd" value="none"&gt;&lt;/form&gt;
&lt;p&gt;&lt;br&gt; &lt;/p&gt;
&lt;p&gt;&lt;a href="/view.aspx?sf=130340/429991/mod=log.mw"&gt;Download mod=log.mw&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;</description>
      <guid>130340</guid>
      <pubDate>Sun, 05 Feb 2012 13:00:06 Z</pubDate>
      <itunes:author>Kitonum</itunes:author>
      <author>Kitonum</author>
    </item>
    <item>
      <title>can this be done more using Maple options?</title>
      <link>http://www.mapleprimes.com/questions/130337-How-Could-I-Always-Get-The-10n-Yaxis?ref=Feed:MaplePrimes:How could I always get the 10^(-n) y-axis numeric mark with logplot?:Comments#answer130352</link>
      <itunes:summary>&lt;p&gt;I wanted to show how to add gridlines, but discovered I didn't know how to get a pretty output. Compare my two attempts.&lt;/p&gt;
&lt;p&gt;Here, using Maple's options, I wasn't able to select the values of spacing() to get the plot to look good. Like Markiyan's plot above, I find the y-axis too cluttered. Perhaps Markiyan you know how to control that? [is there any difference between using logplot and plot with option mode=log ?]&lt;/p&gt;
&lt;p&gt;plot( exp(-x)&lt;br&gt;&amp;nbsp; , x = .1 .. 10&lt;br&gt;&amp;nbsp; , 'axis[2]' = [ 'mode' = log, 'gridlines' = [ 5, 'color' = blue, 'subticks' = true ] ]&lt;br&gt;&amp;nbsp; , 'tickmarks' = [ default, spacing(10^(-3),10^(-1)) ]&lt;br&gt;&amp;nbsp; , 'labels' = [ "x", "y (log scale)" ]&lt;br&gt;) ;&lt;br&gt;&lt;br&gt;&lt;/p&gt;
&lt;p&gt;&lt;a href="/view.aspx?sf=130352/430013/logplot1.jpg"&gt;&lt;img src="/view.aspx?sf=130352/430013/logplot1.jpg" alt=""&gt;&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;Here, forcing some choices on Maple:&lt;/p&gt;
&lt;p&gt;plot( exp(-x)&lt;br&gt;&amp;nbsp; , x = .1 .. 10&lt;br&gt;&amp;nbsp; , 'axis[2]' = [ 'mode' = log, 'gridlines' = [ 5, 'color' = blue, 'subticks' = true ] ]&lt;br&gt;&amp;nbsp; , 'tickmarks' = [ default, [1 = 1, seq(10^(-i) = 10^(convert(-i,symbol)), i = 1 .. 5, 1 ), 0 = 0] ]&lt;br&gt;&amp;nbsp; , 'view' = [default, 0 .. 1.3]&lt;br&gt;&amp;nbsp; , 'labels' = [ "x", "y (log scale)" ]&lt;br&gt;) ;&lt;br&gt;&lt;br&gt;&lt;/p&gt;
&lt;p&gt;&lt;a href="/view.aspx?sf=130352/430013/logplot2.jpg"&gt;&lt;img src="/view.aspx?sf=130352/430013/logplot2.jpg" alt=""&gt;&lt;/a&gt;&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;I wanted to show how to add gridlines, but discovered I didn't know how to get a pretty output. Compare my two attempts.&lt;/p&gt;
&lt;p&gt;Here, using Maple's options, I wasn't able to select the values of spacing() to get the plot to look good. Like Markiyan's plot above, I find the y-axis too cluttered. Perhaps Markiyan you know how to control that? [is there any difference between using logplot and plot with option mode=log ?]&lt;/p&gt;
&lt;p&gt;plot( exp(-x)&lt;br&gt;&amp;nbsp; , x = .1 .. 10&lt;br&gt;&amp;nbsp; , 'axis[2]' = [ 'mode' = log, 'gridlines' = [ 5, 'color' = blue, 'subticks' = true ] ]&lt;br&gt;&amp;nbsp; , 'tickmarks' = [ default, spacing(10^(-3),10^(-1)) ]&lt;br&gt;&amp;nbsp; , 'labels' = [ "x", "y (log scale)" ]&lt;br&gt;) ;&lt;br&gt;&lt;br&gt;&lt;/p&gt;
&lt;p&gt;&lt;a href="/view.aspx?sf=130352/430013/logplot1.jpg"&gt;&lt;img src="/view.aspx?sf=130352/430013/logplot1.jpg" alt=""&gt;&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;Here, forcing some choices on Maple:&lt;/p&gt;
&lt;p&gt;plot( exp(-x)&lt;br&gt;&amp;nbsp; , x = .1 .. 10&lt;br&gt;&amp;nbsp; , 'axis[2]' = [ 'mode' = log, 'gridlines' = [ 5, 'color' = blue, 'subticks' = true ] ]&lt;br&gt;&amp;nbsp; , 'tickmarks' = [ default, [1 = 1, seq(10^(-i) = 10^(convert(-i,symbol)), i = 1 .. 5, 1 ), 0 = 0] ]&lt;br&gt;&amp;nbsp; , 'view' = [default, 0 .. 1.3]&lt;br&gt;&amp;nbsp; , 'labels' = [ "x", "y (log scale)" ]&lt;br&gt;) ;&lt;br&gt;&lt;br&gt;&lt;/p&gt;
&lt;p&gt;&lt;a href="/view.aspx?sf=130352/430013/logplot2.jpg"&gt;&lt;img src="/view.aspx?sf=130352/430013/logplot2.jpg" alt=""&gt;&lt;/a&gt;&lt;/p&gt;</description>
      <guid>130352</guid>
      <pubDate>Sun, 05 Feb 2012 23:13:47 Z</pubDate>
      <itunes:author>PatrickT</itunes:author>
      <author>PatrickT</author>
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