Warning: file_get_contents(/data/phpspider/zhask/data//catemap/7/neo4j/3.json): failed to open stream: No such file or directory in /data/phpspider/zhask/libs/function.php on line 167

Warning: Invalid argument supplied for foreach() in /data/phpspider/zhask/libs/tag.function.php on line 1116

Notice: Undefined index: in /data/phpspider/zhask/libs/function.php on line 180

Warning: array_chunk() expects parameter 1 to be array, null given in /data/phpspider/zhask/libs/function.php on line 181
Gnuplot PM3d和脉冲组合不缩放_Gnuplot_Autoscaling - Fatal编程技术网

Gnuplot PM3d和脉冲组合不缩放

Gnuplot PM3d和脉冲组合不缩放,gnuplot,autoscaling,Gnuplot,Autoscaling,我对gnuplot还不熟悉,但我想我已经掌握了所有的基本知识。我正试图用一些脉冲来绘制一个3d曲面。当我单独做每一个splot时,它们看起来都很棒,但是当我把它们放在一起时,天平会变得一团糟。有什么想法吗?在所有情况下都会设置自动缩放 第一次喷溅: splot "C:/data/file1.dat" matrix rowheaders columnheaders with pm3d 第二次喷溅: splot "C:/Data/file2.dat" with impulses, "C:/Dat

我对gnuplot还不熟悉,但我想我已经掌握了所有的基本知识。我正试图用一些脉冲来绘制一个3d曲面。当我单独做每一个splot时,它们看起来都很棒,但是当我把它们放在一起时,天平会变得一团糟。有什么想法吗?在所有情况下都会设置自动缩放

第一次喷溅:

splot "C:/data/file1.dat" matrix rowheaders columnheaders with pm3d

第二次喷溅:

splot "C:/Data/file2.dat" with impulses, "C:/Data/file2.dat" with points pt 7

合并:

splot "C:/data/file1.dat" matrix rowheaders columnheaders with pm3d, \                                                                            
    "C:/Data/file2.dat" with impulses, \
    "C:/Data/file2.dat" with points pt 7

看看天平是怎么弄得一团糟的,第一张图表是怎么被揉成一角的?两个数据集的数据范围大致相同

file1.dat

    6   8   10  12  16  20  24
30  3.513999939 4.515999794 5.293000221 5.894999981 6.633999825 6.870999813 6.901000023
35  4.235000134 5.330999851 6.169000149 6.72300005  7.196000099 7.374000072 7.434000015
40  4.818999767 5.940999985 6.776000023 7.171000004 7.558000088 7.722000122 7.802999973
45  5.291999817 6.453999996 7.136000156 7.480999947 7.831999779 7.997000217 8.092000008
50  5.656000137 6.791999817 7.393000126 7.718999863 8.057999611 8.232999802 8.340000153
55  5.968999863 7.014999866 7.587999821 7.913000107 8.255000114 8.44299984  8.565999985
60  6.225999832 7.176000118 7.741000175 8.079999924 8.434000015 8.642000198 8.788000107
65  6.414000034 7.326000214 7.859000206 8.225999832 8.602000237 8.840000153 9.015000343
70  6.624000072 7.494999886 7.956999779 8.357000351 8.767000198 9.039999962 9.25
75  6.801000118 7.638999939 8.100999832 8.468000412 8.930000305 9.251999855 9.496999741
80  6.93599987  7.758999825 8.222000122 8.56799984  9.107999802 9.491000175 9.772000313
85  7.035999775 7.855000019 8.322999954 8.690999985 9.289999962 9.748999596 10.10700035
90  7.102000237 7.919000149 8.409999847 8.80300045  9.470999718 10.03199959 10.47500038
95  7.125   7.933000088 8.479000092 8.901000023 9.642999649 10.31599998 10.83600044
100 7.107999802 7.907999992 8.534000397 8.987000465 9.812000275 10.60000038 11.18799973
105 7.053999901 7.849999905 8.515999794 9.06000042  9.972999573 10.86600018 11.52400017
110 6.965000153 7.769999981 8.43500042  9.090999603 10.11800003 11.10400009 11.84200001
115 6.840000153 7.663000107 8.309000015 8.961000443 10.24100018 11.31099987 12.14299965
120 6.672999859 7.524000168 8.149999619 8.75399971  10.32299995 11.48900032 12.42500019
125 6.436999798 7.349999905 7.961999893 8.529000282 9.987000465 11.64599991 12.68999958
130 6.044000149 7.133999825 7.749000072 8.298000336 9.579000473 11.67500019 12.96199989
135 5.572000027 6.856999874 7.513000011 8.06499958  9.237999916 11.11900043 13.27099991
140 5.127999783 6.440000057 7.257999897 7.831999779 8.937999725 10.52499962 12.90999985
145 4.683000088 5.933000088 6.981999874 7.598999977 8.670000076 10.0170002  12.10299969
150 4.30700016  5.52699995  6.657999992 7.363999844 8.425999641 9.602999687 11.39599991
155 3.996999979 5.196000099 6.294000149 7.122000217 8.194000244 9.262000084 10.79100037
160 3.730999947 4.887000084 5.936999798 6.868999958 7.973999977 8.970999718 10.27600002
165 3.506999969 4.620999813 5.642000198 6.610000134 7.78000021  8.737999916 9.892000198
170 3.342999935 4.421999931 5.427999973 6.385000229 7.625   8.56499958  9.626999855
175 3.233999968 4.288000107 5.281000137 6.217000008 7.506999969 8.43900013  9.44299984
180 3.170000076 4.209000111 5.191999912 6.111000061 7.428999901 8.354000092 9.32199955
文件2.dat

7.5 172.0   4.5
5.6 56.8    4.7
6.7 35.0    5.1
11.0    158.7   5.3
13.8    24.8    5.6
12.1    180.0   6.0
5.1 83.2    6.4
13.2    158.0   6.6
15.8    34.5    6.67
15.6    32.9    6.69
11.8    180.0   6.8
13.7    96.0    7.2
15.0    62.4    7.3
11.2    76.2    7.3
11.7    84.9    7.4
13.8    121.8   7.46
9.7 90.9    7.6
13.2    66.0    7.64
14.3    61.3    7.8
14.8    124.6   8.0
9.5 118.8   8.20
15.1    148.8   8.29
12.2    81.8    8.4

您可以在第一幅图像中看到,x=10和x=12之间的间距与x=12和x=16之间的间距一样大,这为正在发生的事情提供了线索:虽然第一个绘图看起来像是gnuplot使用x坐标8,10,12,16,20,24,但实际上这些只是标签,而在数字上,gnuplot使用x坐标0,1,2,3,4,5,6。因此,当以相同比例绘制第二个图形时,数据点的x值介于5.1和15.8之间,因此将显示pm3d曲面的侧面

如果希望gnuplot使用第一列和第一行作为实际坐标,则必须使用非均匀矩阵格式(请参见
帮助矩阵非均匀
)。首先,您需要更改数据文件
file1.dat
以数字7(列数)开始。文件的开头应如下所示:

7   6   8   10  12  16  20  24
30  3.513999939 4.515999794 5.293000221 5.894999981 6.633999825 6.870999813 6.901000023
35  4.235000134 5.330999851 6.169000149 6.72300005  7.196000099 7.374000072 7.434000015
然后可以按如下方式绘制数据:

splot "file1.dat" nonuniform matrix w pm3d, \
      "file2.dat" with impulses, \
      "file2.dat" with points pt 7

请发布一个完整的、最低限度的工作示例。你的斧子有点奇怪。。。。在你的第一个图中,在8、10、12、16、20、24处似乎有等距的网格线?!?我发布了文件的数据。我不确定“等距网格线”有什么问题。它看起来就像我所期望的那样。他们不应该等距吗?太好了。还有很多东西要学!当我有你的时候,你知道有没有办法使矩阵图不透明,这样我们可以在旋转时看到上面和下面的棒棒糖?为此,我们必须
设置hidden3d
。但是,这不适用于
pm3d
,因此您必须使用线来绘制曲面