1 | <HTML> |
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2 | <HEAD> |
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3 | <META HTTP-EQUIV="Content-Type" CONTENT="text/html; CHARSET=utf-8"/> |
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4 | <LINK REL="stylesheet" TYPE="text/css" HREF="../PyNCplot.css"/> |
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5 | </HEAD> |
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6 | |
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7 | </HEAD> |
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8 | <BODY> |
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9 | <DIV CLASS="valheader"> |
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10 | Time Series plot |
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11 | </DIV> |
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12 | <DIV CLASS="valimg"> |
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13 | Plotting a Time Series with line-markers |
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14 | <IMG WIDTH="100%" SRC="figs/TimeSeries_ua.png"></IMG> |
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15 | </DIV> |
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16 | <DIV CLASS="valhelp"> |
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17 | draw_timeSeries(filen, values, variables)<BR> |
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18 | filen= name of the file<BR> |
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19 | values= [dimvalues]:[sminv],[smaxv]:[gvarname]:[timetit]:[tkind]:[timefmt]:[title]:[legvals]:<BR> |
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20 | [gkind]:[colorlines]:[typelines]:[widthlines]:[pointtype]:[pointfreq]:[figclose]<BR> |
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21 | [dimvalues]= ',' separated list of [dimname]|[slice]<BR> |
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22 | [dimname]: name of dimension<BR> |
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23 | [slice]: value to take for the given dimension<BR> |
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24 | * [integer]: which value of the dimension<BR> |
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25 | * -1: all along the dimension<BR> |
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26 | * [beg]@[end]@[freq] slice from [beg] to [end] every [freq]<BR> |
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27 | * -9: last value of the dimension<BR> |
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28 | [sminv],[smaxv]: minimum and maximum value for the lines or one value for each extreme:<BR> |
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29 | 'Srange': for full range<BR> |
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30 | 'Saroundmean@val': for mean-xtrm,mean+xtrm where xtrm = np.min(mean-min@val,max@val-mean)<BR> |
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31 | 'Saroundminmax@val': for min*val,max*val<BR> |
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32 | 'Saroundpercentile@val': for median-xtrm,median+xtrm where xtrm = np.min(median-percentile_(val),<BR> |
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33 | percentile_(100-val)-median)<BR> |
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34 | 'Smean@val': for -xtrm,xtrm where xtrm = np.min(mean-min*@val,max*@val-mean)<BR> |
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35 | 'Smedian@val': for -xtrm,xtrm where xtrm = np.min(median-min@val,max@val-median)<BR> |
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36 | 'Spercentile@val': for -xtrm,xtrm where xtrm = np.min(median-percentile_(val),<BR> |
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37 | percentile_(100-val)-median)<BR> |
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38 | [gvarname]: name of the variable to appear in the graph<BR> |
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39 | [timetit]: title of the time axis (assumed x-axis, '|' for spaces)<BR> |
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40 | [tkind]: kind of time to appear in the graph (assumed x-axis)<BR> |
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41 | 'Nval': according to a given number of values as 'Nval',[Nval]<BR> |
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42 | 'exct': according to an exact time unit as 'exct',[tunit]; <BR> |
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43 | tunit= [Nunits],[tu]; [tu]= 'c': centuries, 'y': year, 'm': month,<BR> |
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44 | 'w': week, 'd': day, 'h': hour, 'i': minute, 's': second, <BR> |
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45 | 'l': milisecond<BR> |
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46 | [timefmt]: format of the time labels (C-like)<BR> |
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47 | [title]: title of the graphic ('|' for spaces)<BR> |
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48 | [legvals]=[locleg]|[fontsize]: <BR> |
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49 | [locleg]: location of the legend (0, autmoatic)<BR> |
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50 | 1: 'upper right', 2: 'upper left', 3: 'lower left', 4: 'lower right',<BR> |
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51 | 5: 'right', 6: 'center left', 7: 'center right', 8: 'lower center',<BR> |
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52 | 9: 'upper center', 10: 'center'<BR> |
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53 | [fontsize]: font size for the legend (auto for 12)<BR> |
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54 | [gkind]: kind of graphical output<BR> |
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55 | [colorlines]: ',' list of colors for the lines, 'None' for automatic, single<BR> |
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56 | value all the same<BR> |
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57 | [pointtype]: ',' list of type of points for the lines, 'None' for automatic, single<BR> |
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58 | value all the same<BR> |
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59 | [pointfreq]: frequency of point plotting, 'all' for all time steps<BR> |
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60 | [figclose]: whether figure should be closed or not<BR> |
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61 | variables= [varname],[timename] names of variable and variable with times<BR> |
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62 | </DIV> |
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63 | <DIV CLASS="valins"> |
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64 | $ python ${pyHOME}/drawing.py -o draw_TimeSeries -f ERAI_pl199501_131-132.nc -S 'lon|240,lat|120,time|-1,lev|0:Srange,Srange:ua:date|($[MM]^{[DD]}$):exct,15,d:$%m^{%d}$:January|1995|ERA-Interim|x-wind|at|i=240,|j=120,|k=0:ua:0|12:png:r:-:2:x:2:20:yes' -v var131,time |
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65 | </DIV> |
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66 | </BODY> |
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67 | </HTML> |
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68 | |
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