<div dir="ltr"><div class="gmail_default" style="font-size:small">Unfortunately you can't use NCL functions to just read parts of an ASCII file.</div><div class="gmail_default" style="font-size:small"><br></div><div class="gmail_default" style="font-size:small">However, you could use the UNIX "cut" command to select out the subsections you want. See this page for some examples:</div><div class="gmail_default" style="font-size:small"><br></div><div class="gmail_default"><a href="http://www.ncl.ucar.edu/Applications/read_ascii.shtml">http://www.ncl.ucar.edu/Applications/read_ascii.shtml</a><br></div><div class="gmail_default"><br></div><div class="gmail_default">Use your browser search to look for the word "cut". You will find several references.</div><div class="gmail_default"><br></div><div class="gmail_default">Good luck,</div><div class="gmail_default"><br></div><div class="gmail_default">--Mary</div><div class="gmail_default"><br></div></div><div class="gmail_extra"><br><div class="gmail_quote">On Tue, Feb 28, 2017 at 4:58 AM, Guido Cioni <span dir="ltr"><<a href="mailto:guidocioni@gmail.com" target="_blank">guidocioni@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div style="word-wrap:break-word">Just to be correct about this, but someone could step in if I'm saying stupid things, you HAVE to load the file into the memory (asciifile) and then subset with data(5:10), for example. <div>If you don't want to load the entire file just cut it before reading it into NCL. <span class="HOEnZb"><font color="#888888"><br><div>
<div style="color:rgb(0,0,0);font-family:Helvetica;font-size:12px;font-style:normal;font-variant-caps:normal;font-weight:normal;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px"><br class="m_-7730919517539955853Apple-interchange-newline">Guido Cioni</div><div style="color:rgb(0,0,0);font-family:Helvetica;font-size:12px;font-style:normal;font-variant-caps:normal;font-weight:normal;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px"><a href="http://guidocioni.altervista" target="_blank">http://guidocioni.altervista</a>.<wbr>org</div>
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<br><div><blockquote type="cite"><div>On 28 Feb 2017, at 12:56, Guido Cioni <<a href="mailto:guidocioni@gmail.com" target="_blank">guidocioni@gmail.com</a>> wrote:</div><br class="m_-7730919517539955853Apple-interchange-newline"><div><div style="word-wrap:break-word">Hey Xiaofeng,<div>First, I would suggest you to remove all the rows that are not supposed to be read by NCL (i.e. the header) beforehand, otherwise you'll get into the trouble. If you tell NCL to expect 2 columns of integers when there is 1 of string...you imagine what could result of this :) You can skip the header somehow, but to debug the code it's easier to have fewer complications. </div><div><br></div><div>Second, I'm pretty sure that the <font face="Menlo">asciiread</font> procedure (which, I believe, you're using) does not work well with strings AND numeric values on the same row. If you read from the documentation (<a href="http://www.ncl.ucar.edu/Document/Functions/Built-in/asciiread.shtml" target="_blank">http://www.ncl.ucar.edu/<wbr>Document/Functions/Built-in/<wbr>asciiread.shtml</a>) "For<span style="color:rgb(51,51,51);font-family:verdana,sans-serif;font-size:13.3333px;background-color:rgb(255,255,255)"> string data, each line of the file is read as a string"</span></div><div>So the line begins as a string it would read it as a string. In order to read strings and values you have to read everything as string and then perform a conversion, as explained here (<a href="http://www.ncl.ucar.edu/Applications/read_ascii.shtml#pw" target="_blank">http://www.ncl.ucar.edu/<wbr>Applications/read_ascii.shtml#<wbr>pw</a>, see Example for <a href="http://www.ncl.ucar.edu/Applications/Data/asc/istasyontablosu_son.txt" style="margin:0px;padding:0px;text-decoration:none;color:rgb(133,45,133);font-family:verdana,sans-serif;font-size:13.3333px;font-variant-ligatures:normal" target="_blank">p</a>w.dat file, which is really similar to what you have).</div><div><br></div><div>So I would modify your ascii file as follows (you can compute totals afterwards, that's what NCL is meant for):</div><div><br></div><div><div><font face="Menlo">China<span class="m_-7730919517539955853Apple-tab-span" style="white-space:pre-wrap"> </span>1,321<span class="m_-7730919517539955853Apple-tab-span" style="white-space:pre-wrap"> </span> 19.84%</font></div><div><font face="Menlo">India<span class="m_-7730919517539955853Apple-tab-span" style="white-space:pre-wrap"> </span>1,132<span class="m_-7730919517539955853Apple-tab-span" style="white-space:pre-wrap"> </span> 16.96%</font></div><div><font face="Menlo">United States<span class="m_-7730919517539955853Apple-tab-span" style="white-space:pre-wrap"> </span>304<span class="m_-7730919517539955853Apple-tab-span" style="white-space:pre-wrap"> </span> 4.56%</font></div><div><font face="Menlo">Indonesia<span class="m_-7730919517539955853Apple-tab-span" style="white-space:pre-wrap"> </span>232<span class="m_-7730919517539955853Apple-tab-span" style="white-space:pre-wrap"> </span> 3.47%</font></div><div><font face="Menlo">Brazil<span class="m_-7730919517539955853Apple-tab-span" style="white-space:pre-wrap"> </span>187<span class="m_-7730919517539955853Apple-tab-span" style="white-space:pre-wrap"> </span> 2.80%</font></div><div><font face="Menlo">Pakistan<span class="m_-7730919517539955853Apple-tab-span" style="white-space:pre-wrap"> </span>163<span class="m_-7730919517539955853Apple-tab-span" style="white-space:pre-wrap"> </span> 2.44%</font></div><div><font face="Menlo">Bangladesh<span class="m_-7730919517539955853Apple-tab-span" style="white-space:pre-wrap"> </span>159<span class="m_-7730919517539955853Apple-tab-span" style="white-space:pre-wrap"> </span> 2.38%</font></div><div><font face="Menlo">Nigeria<span class="m_-7730919517539955853Apple-tab-span" style="white-space:pre-wrap"> </span>148<span class="m_-7730919517539955853Apple-tab-span" style="white-space:pre-wrap"> </span> 2.22%</font></div><div><font face="Menlo">Russia<span class="m_-7730919517539955853Apple-tab-span" style="white-space:pre-wrap"> </span>142<span class="m_-7730919517539955853Apple-tab-span" style="white-space:pre-wrap"> </span> 2.13%</font></div><div><font face="Menlo">Japan<span class="m_-7730919517539955853Apple-tab-span" style="white-space:pre-wrap"> </span>128<span class="m_-7730919517539955853Apple-tab-span" style="white-space:pre-wrap"> </span> 1.92%</font></div><div><font face="Menlo">Mexico<span class="m_-7730919517539955853Apple-tab-span" style="white-space:pre-wrap"> </span>107<span class="m_-7730919517539955853Apple-tab-span" style="white-space:pre-wrap"> </span> 1.60%</font></div><div><font face="Menlo">Philippines<span class="m_-7730919517539955853Apple-tab-span" style="white-space:pre-wrap"> </span>89<span class="m_-7730919517539955853Apple-tab-span" style="white-space:pre-wrap"> </span> 1.33%</font></div><div><font face="Menlo">Vietnam<span class="m_-7730919517539955853Apple-tab-span" style="white-space:pre-wrap"> </span>84<span class="m_-7730919517539955853Apple-tab-span" style="white-space:pre-wrap"> </span> 1.31%</font></div><div><font face="Menlo">Germany<span class="m_-7730919517539955853Apple-tab-span" style="white-space:pre-wrap"> </span>82<span class="m_-7730919517539955853Apple-tab-span" style="white-space:pre-wrap"> </span> 1.23%</font></div><div><font face="Menlo">Egypt<span class="m_-7730919517539955853Apple-tab-span" style="white-space:pre-wrap"> </span>81<span class="m_-7730919517539955853Apple-tab-span" style="white-space:pre-wrap"> </span> 1.13%</font></div><div><br></div><div>and read it as (NOT TESTED): </div><div><br></div><div><pre style="margin-top:0px;margin-bottom:0px;padding:0px;font-size:13.3333px;line-height:12pt;font-family:courier;border-style:solid;border-width:0px 0px 15px;border-color:transparent;font-variant-ligatures:normal"> fname = "asc4.txt"
data = <a href="http://www.ncl.ucar.edu/Document/Functions/Built-in/asciiread.shtml" style="margin:0px;padding:0px;text-decoration:none;color:rgb(133,45,133);font-family:verdana,sans-serif" target="_blank"><strong style="margin:0px;padding:0px">asciiread</strong></a>(fname,-1,"string")
population = <a href="http://www.ncl.ucar.edu/Document/Functions/Built-in/stringtofloat.shtml" style="margin:0px;padding:0px;text-decoration:none;color:rgb(133,45,133);font-family:verdana,sans-serif" target="_blank"><strong style="margin:0px;padding:0px">stringtofloat</strong></a>(<a href="http://www.ncl.ucar.edu/Document/Functions/Built-in/str_get_field.shtml" style="margin:0px;padding:0px;text-decoration:none;color:rgb(133,45,133);font-family:verdana,sans-serif" target="_blank"><strong style="margin:0px;padding:0px">str_get_field</strong></a>(<wbr>data, 2," "))
precentage = <a href="http://www.ncl.ucar.edu/Document/Functions/Built-in/stringtofloat.shtml" style="margin:0px;padding:0px;text-decoration:none;color:rgb(133,45,133);font-family:verdana,sans-serif" target="_blank"><strong style="margin:0px;padding:0px">stringtofloat</strong></a>(<a href="http://www.ncl.ucar.edu/Document/Functions/Built-in/str_get_field.shtml" style="margin:0px;padding:0px;text-decoration:none;color:rgb(133,45,133);font-family:verdana,sans-serif" target="_blank"><strong style="margin:0px;padding:0px">str_get_field</strong></a>(<wbr>data, 3," "))
country = <a href="http://www.ncl.ucar.edu/Document/Functions/Built-in/str_get_field.shtml" style="margin:0px;padding:0px;text-decoration:none;color:rgb(133,45,133);font-family:verdana,sans-serif" target="_blank"><strong style="margin:0px;padding:0px">str_get_field</strong></a>(data, 1," ")</pre><div><br></div></div><div>Carefully read the page <a href="http://www.ncl.ucar.edu/Applications/read_ascii.shtml" target="_blank">http://www.ncl.ucar.edu/<wbr>Applications/read_ascii.shtml</a>, there are a lot of examples.</div><div><br></div><div>Cheers</div><div><br></div><div>
<div style="font-family:Helvetica;font-size:12px;font-style:normal;font-variant-caps:normal;font-weight:normal;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px"><br class="m_-7730919517539955853Apple-interchange-newline">Guido Cioni</div><div style="font-family:Helvetica;font-size:12px;font-style:normal;font-variant-caps:normal;font-weight:normal;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px"><a href="http://guidocioni.altervista/" target="_blank">http://guidocioni.altervista</a>.<wbr>org</div>
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<br><div><blockquote type="cite"><div>On 28 Feb 2017, at 12:29, Xiaofeng Li <<a href="mailto:Xiaofeng.Li@newcastle.ac.uk" target="_blank">Xiaofeng.Li@newcastle.ac.uk</a>> wrote:</div><br class="m_-7730919517539955853Apple-interchange-newline"><div><span id="m_-7730919517539955853cid:BCB4EFC862A06644858B3CCB21238BF0@eurprd07.prod.outlook.com"><asc4.txt></span></div></blockquote></div><br></div></div></div></blockquote></div><br></div></div></div></div><br>______________________________<wbr>_________________<br>
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