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The new version supports micaps mdfs ensemble forecast lattice data; adds ringing, centering and expand_dims functions, which are consistent with numpy usage; adds signal subpackage to the numeric package, and currently only one detrend function is used to remove the linear trend of data. The new version of miml does not need to modify the file, just put the miml directory in toolbox, or you can run miml scripts directly with MeteoInfoLab.exe. T=np.linspace (0Magne5100) x=t+np.random.normal (size=100) x_detrended=signal.detrend (x) plt.plot (tLECH XLINGHANGLING) tickwidth tick length, tickwidth tick width Linewidth frame width yaxis (tickvisible=False,location='right',tickwidth=2,linewidth=2,ticklength=4) # debug tick width, border line width and tick length xaxis (tickvisible=False,location='top',tickwidth=2,linewidth=2,ticklength=4) xaxis (tickvisible=True,location='bottom',tickwidth=2,linewidth=2,ticklength=3) savefig respectively.

# Read temporature data from a surfer grid datastfn = 'F:/RMeteoInfo/data/china128.csv'table = DataFrame.read_table (stfn,delimiter=',', format='%2f%2s%f' Encoding='gb2312') name = table ['city_name']. Valueslat = table [' lat']. Valueslon = table ['lon']. Valuestdata = table [' GDP2'] .values # Read China layer from shape filechina = shaperead ('FlavoInfoGetPlus) nine = shaperead (' FRMOG RMeteoInfoDB) nine = shaperead ('FRMETOInfoPUGUP) dataPlus 1ChinaroomshpUniqyUniqyUniverse line.shp') # Plotaxesm () levs = arange (100,000100) cols = makecolors (len (levs) + 1) ls = makesymbolspec Field='ID_2', levels=levs,colors=cols,edge=False,edgecolor='k',size=0.3) # Truegeoshow (china,symbolspec=ls,edgecolor='gray',size=0.3) geoshow (nine,edgecolor='k',size=1.2) geoshow (china,edgecolor='k',size=0.5) layer = scatter (lon, lat, facecolor='k',edgecolor=None,size=0) layer.addfield ('Name',' string', name) layer.addlabels ('Name', fontname=u' italics', bold=True, fontsize=8, color='k' Yoffset=0) title ('Average temporature of states') colorbar (ls, orientation='horizontal',ticklen=0,extendrect=False, shrink=1, aspect=50) yaxis (tickvisible=True,location='left',tickwidth=2,linewidth=2,ticklength=3) # ticklength tick mark length Tickwidth tick mark width, linewidth border width yaxis (tickvisible=False,location='right',tickwidth=2,linewidth=2,ticklength=4) # debug the width of tick respectively Border lineweight and length of tick xaxis (tickvisible=False,location='top',tickwidth=2,linewidth=2,ticklength=4) xaxis (tickvisible=True,location='bottom',tickwidth=2,linewidth=2,ticklength=3) xlim (70140) ylim (0,60) xticks (arange (70,60.1,10), bold=True,fontsize=15) yticks (arange (0,60.1,10), bold=True,fontsize=15) savefig ('F tickvisible=False,location='top',tickwidth=2,linewidth=2,ticklength=4 Infomax plot32.12.pnghands, dpi=1200)

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