“IDL8”的版本间差异
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'''相对于IDL7.1的IDL8系列的新功能''' |
'''相对于IDL7.1的IDL8系列的新功能''' |
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==功能== |
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*python bridge |
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*jupyter(pyhton), IDL kernel, 参见[http://www.harrisgeospatial.com/docs/idl_kernel.html] |
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#将复制到<IDL_DIR>/lib/bridges/kernels/IDL/kernel.json 复制到~/share/jupyter/kernels/IDL |
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#设置,PATH包含IDL的可执行命令文件夹 |
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#设置环境变量PYTHON包含IDL和PYTHON的可执行命令文件夹 |
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==函数== |
==函数== |
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*idl_convert (单位转换,很实用),参见IDLUNIT() |
*idl_convert (单位转换,很实用),参见IDLUNIT() |
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==画图== |
==画图== |
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===IDL graphics=== |
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新的图形系统相比于之前的Direct Graphics系统的差别是可以动态的调整图形元素 |
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*P1.window.setcurrent ; 将某个图形窗口设为当前窗口 |
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*errorplot |
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:完整的误差棒程序 |
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*barplot |
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*把某个已经存在的图形窗口作为当前窗口画图 |
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win=getwindows() |
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if N_elements(win) gt 0 then begin |
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win[0].setcurrent |
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win[0].erase |
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endif |
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或者 |
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a=plot(indgen(10),window_title='P1') |
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win=getwindows('P1') |
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win.setcurrent |
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====plot函数==== |
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[[IDL8中的plot函数]] |
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====legend==== |
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a = findgen(11) |
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b = 20./(a+1)^2 |
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p1 = PLOT(a, b, '4', /HISTOGRAM, NAME='Theoretical', /YLOG, YRANGE=[0.01,100]) |
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p2 = PLOT(RANDOMU(-1, 11), '4r', NAME='Experimental', TRANSPARENCY=50, /HISTOGRAM, /OVERPLOT) |
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h = LEGEND(POSITION=[9,50],label=['haha','papa'] /DATA) |
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P3=plot(/test,/overplot) |
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h1.add,p3 ;自动增加一个标题,不能是数组 |
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====text函数 ==== |
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*和原来的xyouts对应, 直接支持latex符号 |
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* 注意,在多个panel的图上,使用/data定位的时候,要用target关键词制定图形对象 |
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fn = exp(SIN(FINDGEN(100))^FINDGEN(100)) |
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p1 = PLOT(fn, LAYOUT = [1, 2, 1], /CURRENT, TITLE = '1') |
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p2 = PLOT(fn, LAYOUT = [2, 2, 3], xrange=[25, 42], /CURRENT, TITLE = '2') |
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t=text(30,2.5,'test1',/data,target=P1) |
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t=text(30,2.5,'text2',/data,target=P2) |
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====errorplot==== |
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完整的误差棒程序 |
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====barplot==== |
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:棒状图 |
:棒状图 |
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*boxplot |
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====boxplot==== |
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*polarplot |
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====polarplot==== |
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:极坐标 |
:极坐标 |
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*vector |
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====vector==== |
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:画矢量图(箭头) |
:画矢量图(箭头) |
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*streamline |
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====symbol==== |
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:画符号,支持latex |
:画符号,支持latex |
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====colorbar==== |
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*生成图形的code [http://www.harrisgeospatial.com/docs/generatecode.html] |
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:画颜色棒 |
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:p.GenerateCode, 'mycode.pro' |
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cb=colorbar(rgb_table-4,ticklen=0,range=[0,20],position=[0.15, 0.88, 0.45, 0.93],title='R/Re') |
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====axes==== |
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*save |
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*AXES可以直接在image上画坐标轴 |
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p = OBJARR(3) |
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; Create three plots with random data |
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FOR i = 0, 2 DO BEGIN |
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t = 0.1*FINDGEN(50) |
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y = SMOOTH(RANDOMU(seed,50), 5) |
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p[i] = PLOT(t,y,'b', SYMBOL='D', TITLE='Observation'+STRING(i+1)) |
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ENDFOR |
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; Build the multi-page PDF file, one page at a time |
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p[0].Save, 'data1.pdf', /APPEND |
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p[1].Save, 'data1.pdf', /APPEND |
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p[2].Save, 'data1.pdf', /APPEND, /CLOSE |
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===image=== |
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*legend |
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*函数 |
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a = findgen(11) |
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:RGB_VALUE : 选择color bar |
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b = 20./(a+1)^2 |
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:max:可以用最大值归一化 |
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p1 = PLOT(a, b, '4', /HISTOGRAM, NAME='Theoretical', /YLOG, YRANGE=[0.01,100]) |
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:axis: 图像是否显示坐标轴 |
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p2 = PLOT(RANDOMU(-1, 11), '4r', NAME='Experimental', TRANSPARENCY=50, /HISTOGRAM, /OVERPLOT) |
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:p.axes 可定制 |
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h = LEGEND(POSITION=[9,50],label=['haha','papa'] /DATA) |
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p=image(Agez,position=[0.15,0.1,0.9,0.5],max=max(Agez),RGB='rainbow',axis=1,$ |
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xtitle='Age (Gy)',ytitle='$Z/Z_\odot$',/current) |
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ax=p.axes |
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ax[0].tickvalues=[0,2,4,7,9,11,13,15,17,19] |
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ax[0].tickname=['0.001','0.01','0.1','1','3','5','7','9','11','13'] |
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ax[1].tickname=['0.005','0.002','0.02','0.04','1','2.5'] |
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*画多个panel的时候可以用layout关键词,而且可以动态调整 |
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fn = exp(SIN(FINDGEN(100))^FINDGEN(100)) |
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w1 = WINDOW() |
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p1 = PLOT(fn, LAYOUT = [1, 2, 1], /CURRENT, TITLE = '1') |
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p2 = PLOT(fn, LAYOUT = [2, 2, 3], xrange=[25, 42], /CURRENT, TITLE = '2') |
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p3 = PLOT(fn, LAYOUT = [2, 2, 4], xrange=[50, 60], /CURRENT, TITLE = '3') |
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*colorbar 用法更自由,target关键词,不需要自己设计 |
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*直接支持latex符号,text函数 |
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*AXES可以直接在image上画坐标轴 |
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===地图相关=== |
===地图相关=== |
2017年3月31日 (五) 06:01的最新版本
相对于IDL7.1的IDL8系列的新功能
函数
- idl_convert (单位转换,很实用),参见IDLUNIT()
变量
- 变量的运算 [1]
var = RANDOMU(seed, 200, 100) PRINT, var.length PRINT, var.ndim PRINT, var.dim PRINT, var.typecode PRINT, var.typename PRINT, var1.Mean() PRINT, var1.Total() var2 = var1.Sort()
- biginteger
- 任意位数的整数
系统变量
- !const
- 常用物理常数
函数
- FOLDERWATCH
- 监控文件夹
- CODE_COVERAGE
- 监控那些CODE被执行 (选择判断)
- FFT Power Spectrum
画图
IDL graphics
新的图形系统相比于之前的Direct Graphics系统的差别是可以动态的调整图形元素
- P1.window.setcurrent ; 将某个图形窗口设为当前窗口
- 把某个已经存在的图形窗口作为当前窗口画图
win=getwindows() if N_elements(win) gt 0 then begin win[0].setcurrent win[0].erase endif
或者
a=plot(indgen(10),window_title='P1') win=getwindows('P1') win.setcurrent
plot函数
legend
a = findgen(11) b = 20./(a+1)^2 p1 = PLOT(a, b, '4', /HISTOGRAM, NAME='Theoretical', /YLOG, YRANGE=[0.01,100]) p2 = PLOT(RANDOMU(-1, 11), '4r', NAME='Experimental', TRANSPARENCY=50, /HISTOGRAM, /OVERPLOT) h = LEGEND(POSITION=[9,50],label=['haha','papa'] /DATA) P3=plot(/test,/overplot) h1.add,p3 ;自动增加一个标题,不能是数组
text函数
- 和原来的xyouts对应, 直接支持latex符号
- 注意,在多个panel的图上,使用/data定位的时候,要用target关键词制定图形对象
fn = exp(SIN(FINDGEN(100))^FINDGEN(100)) p1 = PLOT(fn, LAYOUT = [1, 2, 1], /CURRENT, TITLE = '1') p2 = PLOT(fn, LAYOUT = [2, 2, 3], xrange=[25, 42], /CURRENT, TITLE = '2') t=text(30,2.5,'test1',/data,target=P1) t=text(30,2.5,'text2',/data,target=P2)
errorplot
完整的误差棒程序
barplot
- 棒状图
boxplot
polarplot
- 极坐标
vector
- 画矢量图(箭头)
symbol
- 画符号,支持latex
colorbar
- 画颜色棒
cb=colorbar(rgb_table-4,ticklen=0,range=[0,20],position=[0.15, 0.88, 0.45, 0.93],title='R/Re')
axes
- AXES可以直接在image上画坐标轴
image
- 函数
- RGB_VALUE : 选择color bar
- max:可以用最大值归一化
- axis: 图像是否显示坐标轴
- p.axes 可定制
p=image(Agez,position=[0.15,0.1,0.9,0.5],max=max(Agez),RGB='rainbow',axis=1,$ xtitle='Age (Gy)',ytitle='$Z/Z_\odot$',/current) ax=p.axes ax[0].tickvalues=[0,2,4,7,9,11,13,15,17,19] ax[0].tickname=['0.001','0.01','0.1','1','3','5','7','9','11','13'] ax[1].tickname=['0.005','0.002','0.02','0.04','1','2.5']
地图相关
- map (可以投影天球)
mymap = MAP('hammer', FILL_COLOR="light_blue") ; Convert from longitude/latitude to meters longitudes = [-83.02, 88.50] latitudes = [42.42, 47.17] xy = mymap.MapForward(longitudes, latitudes) ; Convert back to longitude/latitude and plot EXPAND, xy, 2, 20, xycoordinates lonlat = mymap.MapInverse(xycoordinates) p = PLOT(lonlat[0,*], lonlat[1,*], 'rS', /OVERPLOT, /SYM_FILLED)
数组运算
- array_equal