python - To obtain the correct orientation of the contour plot and save the plots as seperate images when created in a loop? -


i have written code uses griddata interpolation interpolate points on irregular grid onto regular grid. creating contour plots 2 dependent variables after interpolation. able generate line contour , filled contour plots , match images qualitatively directly generated simulation. images shown in horizontal orientation , quality not per expectation. want images shown vertical i.e (x-axis; width =30.48(always fixed),y-axis; width varies according condition). in plots x , y interchanged. did not understand reason this. think has how rows , columns handled contour function.

my second issue importing multiple text files , want save generated contour plots separately each of imported text files. not sure of best way this. 

from __future__ import print_function import numpy np matplotlib import pyplot plt scipy.interpolate  import griddata ############################################################################### path = 'location of files' ft_init = 5.4311 delt = 0.15 ts_init = 140 dj_length = 2.4384 ############################################################################### def streamfunction2d(y,x,si_f):     plt.figure(3)     stf= plt.contour(y,x,si_f,50)     stf1 = plt.colorbar(stf)     plt.savefig('location of saved image',format='png',dpi=1200)     plt.close(3)  ###############################################################################     def tracer2d(y,x,ti_f):     plt.figure(1)     trc= plt.contour(y,x,ti_f,25)     trc1 = plt.colorbar(trc)     plt.clabel(trc,fmt='%.0f',inline=true)     plt.savefig('location of saved image',format='png',dpi=1200)     plt.close(1)      plt.figure(2)     trp = plt.pcolormesh(y,x,ti_f,linestyle='dashed')  ## alternate method of creating filled-contour plots.      plt.savefig('location of saved image',format='png',dpi=1200)     plt.close(2)  ############################################################################### flowtime =np.linspace(500,600,2) ## here include multiple flow times. want save plots each flow time in location provided. timestep = np.zeros(len(flowtime))  n in range(len(flowtime)):     timestep = (flowtime-ft_init)/delt + ts_init     timestep = np.array(np.round(timestep,-2),dtype = 'int')  p in range(len(timestep)):          timestepstring=str(timestep[p]).zfill(4)         fname = path+"ddn150ae-"+timestepstring+".txt"         f = open(fname,'r')         data = np.loadtxt(f,skiprows=1)         data = data[data[:, 1].argsort()]         data = data[np.logical_not(data[:,11]== 0)]           y  = data[:,2]           limit = np.nonzero(y==dj_length)[0][0]         y  = y[limit:]          vf  = data[:,11]          vf  = vf[limit:]         tr  = data[:,9]          tr  = tr[limit:]          x  = data[:,1]           x  = x[limit:]         y  = data[:,2]          y  = y[limit:]         u  = data[:,3]           u  = u[limit:]         v  = data[:,4]           v  = v[limit:]         st = data[:,5]           st  = st[limit:]         ###############################################################################       ### following code interpolation dependent variable          ## using griddata interpolation unstructured structured data         # resample onto 100x100 grid          nx, ny = 100,100          # (n, 2) arrays of input x,y coords , dependent values         pts = np.vstack((x,y )).t         vals = np.vstack((tr))         vals1 = np.vstack((st))          # new x , y coordinates grid         x = np.linspace(x.min(), x.max(), nx)         y = np.linspace(y.min(), y.max(), ny)         r = np.meshgrid(y,x)[::-1]          # (nx * ny, 2) array of x,y coordinates interpolate @         ipts = np.vstack(a.ravel() in r).t          # (nx * ny, 2) array of interpolated tr values         ti = griddata(pts, vals, ipts, method='nearest')         ti_f = np.reshape(ti,(len(y),len(x)))         tracer2d(y,x,ti_f)          si = griddata(pts, vals1, ipts, method='nearest')         si_f = np.reshape(si,(len(y),len(x)))         streamfunction2d(y,x,si_f)

location text files sample text files. image have simulation corresponding 3400 text file.

i appreciate advice or in this.

thank you

solved:


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