286 lines
14 KiB
Python
286 lines
14 KiB
Python
def myplot_1d(xxx,yyy,FS=22,trend=0,rm_yyy=0,yyy_per=0,col_c=('b','r','k'),label_c=('None'),xlabel_c='no xlabel info',ylabel_c='no ylabel info',saveplot=0,plotname='dummy.png',window='step'):
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# from myplot import myplot_1d
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# input choices for myplot_1d %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# col_c=('b','r','k') : Default plotting colors, if more timeseries than num-
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# ber of colors, a longer list of colors is necessary
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# FS=[22] : Font Size for text, labels, etc
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# label_c=('None') : Specification of lines in legend. To use no legend, set
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# label_c=('None')
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# plotname='dummy.png' : in case of saveplot=1, the plot will be saved under
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# plotname (don't forget to include the path in plotname)
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# rm_yyy=0 : window size (in data points) for smoothing, see further 'window'
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# and yyy_per
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# saveplot=0 : save the plotting? 1 for yes, 0 for no, see further plotname
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# trend=0 : Include information about the trend of the timeseries (as text)
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# window='step' : In case of smoothing (rm_yyy), this defines the window
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# function used for smoothing. Available windows can be found in
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# in my_matrix_operations.py under the function mymatrix_smooth
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# xlabel_c='no xlabel info' : Text for xlabel
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# ylabel_c='no ylabel info' : Text for ylabel
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# yyy_per=0 : data periodic? (relevant for smoothing)
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# load modules and functions %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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from mymath import mymath_multiplylist
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import numpy as np
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import matplotlib.pyplot as plt
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import math
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from mycalc_matrix import mymatrix_smooth
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# data handling and specification
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# general data info
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shape_yyy = yyy.shape
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n_dim = len(shape_yyy)
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if n_dim == 1:
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yyy = np.tile(yyy,(2,1))
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shape_yyy = yyy.shape
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xxxmin = np.min(xxx); xxxmax = np.max(xxx); xxxd = xxxmax-xxxmin;
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yyymin = np.min(yyy); yyymax = np.max(yyy); yyyd = yyymax-yyymin;
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# smoothing of yyy
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if rm_yyy > 0:
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yyy_sm = [None] * mymath_multiplylist(shape_yyy)
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yyy_sm = np.reshape(yyy_sm,shape_yyy)
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for i_d in range(0,n_dim):
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yyy_sm[i_d,:] = mymatrix_smooth(yyy[i_d,:],data_per=(yyy_per,),window_len=rm_yyy,window=window);
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# calculate trend of input data
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if trend == 1:
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yyy_trend = [None] * n_dim
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for i_d in range(0,n_dim):
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yyy_trend_d = np.polyfit(xxx,yyy[i_d,:],1)
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yyy_trend[i_d] = yyy_trend_d[0]
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del yyy_trend_d
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# general plotting setup
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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mpl_fig = plt.figure(figsize=(24,8))
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mpl_fig.patch.set_facecolor('w')
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# plotting (yyy)
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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line_data = [None] * n_dim
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line_data_sm = [None] * n_dim
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for i_d in range(0,n_dim):
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if rm_yyy > 0:
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line_data[i_d], = plt.plot(xxx,yyy[i_d,:],color=col_c[i_d],linestyle='-.',lw=2,label=label_c[i_d])
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line_data_sm[i_d], = plt.plot(xxx,yyy_sm[i_d,:],color=col_c[i_d],linestyle='-',lw=2,label=label_c[i_d]+' (av='+str(rm_yyy)+'#,'+window+')')
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else:
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line_data[i_d], = plt.plot(xxx,yyy[i_d,:],color=col_c[i_d],linestyle='-',lw=2,label=label_c[i_d])
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# plotting (additional horizontal lines)
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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for i_d in range(0,n_dim):
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plt.plot(xxx[[0,-1]],np.mean(yyy[i_d,:])*np.ones(2,'d'),color=col_c[i_d],lw=2)
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# include text
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# include trend information
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if trend == 1:
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exponent = int(math.floor(math.log10(abs(yyy_trend[0]))))
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coeff = round(yyy_trend[0]/float(10**exponent),1)
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if exponent==0:
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trend_str = str(coeff)
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else:
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trend_str = str(coeff)+'x1e'+str(exponent)
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if yyymax-np.mean(yyy)>np.mean(yyy[0,:])-yyymin:
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plt.text(xxxmax-xxxd/5,yyymax-yyyd/20,'Trend: '+trend_str, fontsize=FS-2)
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else:
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plt.text(xxxmax-xxxd/5,yyymin+yyyd/80,'Trend: '+trend_str, fontsize=FS-2)
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del coeff, exponent, trend_str
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# labeling, axis, etc
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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plt.ylabel(ylabel_c, fontsize=FS)
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plt.xlabel(xlabel_c, fontsize=FS)
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plt.xticks(fontsize=FS)
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plt.yticks(fontsize=FS)
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plt.xlim(xxxmin,xxxmax)
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if yyymax-np.mean(yyy)>np.mean(yyy)-yyymin:
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loc_c = 2
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if rm_yyy > 0:
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line_dummy = [None] * (n_dim*2)
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line_dummy[0::2] = line_data
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line_dummy[1::2] = line_data_sm
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else:
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line_dummy = line_data
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else:
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loc_c = 3
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if rm_yyy > 0:
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line_dummy = [None] * (n_dim*2)
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line_dummy[0::2] = line_data
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line_dummy[1::2] = line_data_sm
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else:
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line_dummy = line_data
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plt.legend(handles=line_dummy,loc=loc_c, prop={'size': FS-4})
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# save plot
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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if saveplot:
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print 'save plot under: ' + plotname
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plt.savefig(plotname,dpi=300,bbox_inches='tight')
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else:
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plt.show()
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plt.close()
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#def myplot_2dmap(xxx,yyy,FS=22,trend=0,rm_yyy=0,yyy_per=0,col_c=('b','r','k'),label_c=('None'),xlabel_c='no xlabel info',ylabel_c='no ylabel info',saveplot=0,plotname='dummy.png',window='step',title_c=[]):
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def myplot_2dmap(data_in,grd,FS=22,plotname='dummy.png',saveplot=0,lonlat_range=[0.0,360.0,-90.0,90.0],\
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xlabel_c=[],ylabel_c=[],title_c=[]):
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# from myplot import myplot_2dmap
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# input choices for myplot_1d %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# data_in is the 2d field for plotting
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# lonlat_range=[0.0,360.0,-90.0,90.0] : longitude/latitude range used for
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# plotting
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# plotname='dummy.png' : in case of saveplot=1, the plot will be saved under
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# plotname (don't forget to include the path in plotname)
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# saveplot=0 : save the plotting? 1 for yes, 0 for no, see further plotname
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# FS=[22] : Font Size for text, labels, etc
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# load modules and functions
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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import numpy as np
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import matplotlib.pyplot as plt
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import math
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from mycalc_matrix import mymatrix_smooth
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from mpl_toolkits.basemap import Basemap, addcyclic, shiftgrid
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# => cartopy instead of basemap
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# general plotting setup
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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mpl_fig = plt.figure(edgecolor='w',figsize=(18./360.*np.diff(lonlat_range[0:2]),12./180.*np.diff(lonlat_range[2:4])))
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mpl_fig.patch.set_facecolor('w')
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# define map projection, include grid and map
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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mapproj = Basemap(projection='cyl',llcrnrlat=np.min(lonlat_range[2:4]), llcrnrlon=np.min(lonlat_range[0:2]),\
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urcrnrlat=np.max(lonlat_range[2:4]), urcrnrlon=np.max(lonlat_range[0:2]))
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mapproj.drawcoastlines()
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mapproj.drawparallels(np.array([-90, -45, 0, 45, 90]),labels=[1,0,0,0])
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mapproj.drawmeridians(np.array([0, 90, 180, 270, 360]),labels=[0,0,0,1])
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# redefine longitudes
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# Create 2D lat/lon arrays for Basemap
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for i_d in range(0,grd.Nlat):
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data_in[:,i_d],lon_shift = shiftgrid(360.0*(np.min(lonlat_range[0:2])<0)+np.min(lonlat_range[0:2]), \
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data_in[:,i_d], grd.lon, start=True, cyclic=360.0)
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yyy, xxx = np.meshgrid(grd.lat,lon_shift)
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#yyy, xxx = np.meshgrid(grd.lat,grd.lon)
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#data_in,lon_shift = shiftgrid(360.0*(np.min(lonlat_range[0:2])<0)+np.min(lonlat_range[0:2]), \
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# data_in, xxx, start=True, cyclic=360.0-np.mean(np.diff(grd.lon)))
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lonall, latall = mapproj(xxx, yyy)
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del yyy, xxx
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# plotting of data_in
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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mymapf = plt.contourf(lonall, latall, data_in, 10, cmap=plt.cm.Reds)
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mymap = plt.contour(lonall, latall, data_in, 10, colors='k')
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# include contour labels, colorbar, etc.
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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fmt_d = int(math.floor(np.max((0,-(np.log10(np.nanmean(data_in[:]))-2)))))
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plt.clabel(mymap, fontsize=FS, colors='w', fmt='%.'+str(fmt_d)+'f')
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del fmt_d
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if title_c:
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plt.title(title_c, fontsize=FS)
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plt.colorbar(mymapf, orientation='horizontal', shrink=0.95)
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#plt.colorbar(mymapf, orientation='horizontal', shrink=0.64)
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# labeling, axis, etc
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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plt.xticks(fontsize=FS)
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plt.yticks(fontsize=FS)
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# save plot
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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if saveplot:
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print 'save plot under: ' + plotname
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plt.savefig(plotname,dpi=300,bbox_inches='tight')
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else:
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plt.show()
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plt.close()
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del data_in, FS, plotname, lonlat_range
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#def myplot_2d(xxx,yyy,FS=22,trend=0,rm_yyy=0,yyy_per=0,col_c=('b','r','k'),label_c=('None'),xlabel_c='no xlabel info',ylabel_c='no ylabel info',saveplot=0,plotname='dummy.png',window='step'):
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def myplot_2d(xxx,yyy,zzz,FS=22,plotname='dummy.png',saveplot=0,xlabel_c=[],ylabel_c=[],\
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d_xtick=[],cbarlabel_c=[],title_c=[],con_lines=[]):
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# from myplot import myplot_2d
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# input choices for myplot_2d %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# zzz is the 2d field for plotting
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# plotname='dummy.png' : in case of saveplot=1, the plot will be saved under
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# plotname (don't forget to include the path in plotname)
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# saveplot=0 : save the plotting? 1 for yes, 0 for no, see further plotname
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# FS=[22] : Font Size for text, labels, etc
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# load modules and functions
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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import numpy as np
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import matplotlib.pyplot as plt
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# general plotting setup
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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mpl_fig = plt.figure(edgecolor='w')
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mpl_fig.patch.set_facecolor('w')
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ax = plt.gca()
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# plotting of zzz
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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#plt.pcolor(xxx,yyy,zzz,vmin=np.nanmin(zzz),vmax=np.nanmax(zzz))
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mmm = np.ma.masked_where(np.isnan(zzz),zzz)
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plt.pcolor(xxx,yyy,mmm,vmin=np.nanmin(zzz),vmax=np.nanmax(zzz))
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ax.set_facecolor('gray')
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#plt.imshow(zzz)
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# plotting additional contour lines
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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if con_lines:
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con_lines_val = con_lines['value']
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for i_d in range(0,len(con_lines_val)):
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plt.plot(con_lines_val[i_d][0],con_lines_val[i_d][1],con_lines['col'][i_d],label=con_lines['col'][i_d])
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# include contour labels, colorbar, etc.
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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cbar = plt.colorbar()
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if cbarlabel_c:
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cbar.set_label(cbarlabel_c, rotation=270, labelpad=10)
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# labeling, axis, etc
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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if d_xtick:
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xtick_c = np.arange(xxx.min()+d_xtick*(xxx.min()%d_xtick>0)-\
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xxx.min()%d_xtick,xxx.max()-xxx.max()%d_xtick+d_xtick,d_xtick)
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plt.xticks(xtick_c,fontsize=FS)
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del xtick_c
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else:
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plt.xticks(fontsize=FS)
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plt.yticks(fontsize=FS)
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if ylabel_c:
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plt.ylabel(ylabel_c, fontsize=FS)
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if xlabel_c:
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plt.xlabel(xlabel_c, fontsize=FS)
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if title_c:
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plt.title(title_c, fontsize=FS)
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# set axis range
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plt.xlim((xxx.min(),xxx.max()))
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plt.ylim((yyy.min(),yyy.max()))
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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# save plot
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# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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if saveplot:
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print 'save plot under: ' + plotname
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plt.savefig(plotname,dpi=300,bbox_inches='tight')
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else:
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plt.show()
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plt.close()
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del FS, plotname
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