I've tried several methods on stackoverflow (http://stackoverflow.com/questions/10101700/moving-matplotlib-legend-outside-of-the-axis-makes-it-cutoff-by-the-figure-box) and I'm still seeing issues with matplotlib cutting off my legend. The figure and code are posted below, note that I am using
fig.savefig(fname,bbox_extra_artists = (lgd,),bbox_inches = "tight") Also, the legend handler doesn't appear to be working correctly and the suptitle get's cut off which makes me think there's something major I'm messing up that I haven't yet found. Oddly, adding fig.tight_layout() causes overlap and the legend to get pulled back inside the figure (see second figure). Note that I'm also using mpl 1.4.3. Thanks for any help offered, and apologies for asking a question that has appeared many times! Nick <http://matplotlib.1069221.n5.nabble.com/file/n45595/idp_brier_scores.jpeg> <http://matplotlib.1069221.n5.nabble.com/file/n45595/idp_brier_scores_tightlayout.jpeg> import matplotlib.pyplot as plt import numpy as np import datetime as dt import h5py as h5 from matplotlib.legend_handler import HandlerLine2D from matplotlib.ticker import MultipleLocator,FormatStrFormatter majorLocator = MultipleLocator(5) majorFormatter = FormatStrFormatter('%d') minorLocator = MultipleLocator(1) LagLabel = ['','-3 to 3','2 to 8','7 to 13','12 to 18','17 to 23','22 to 28','27 to 33'] rc = plt.rcParams rc['font.family'] = 'arial' rc['xtick.direction'] = 'out' rc['xtick.major.width'] = 2 rc['xtick.labelsize'] = 'medium' rc['ytick.major.width'] = 2 rc['ytick.direction'] = 'out' rc['ytick.labelsize'] = 'medium' rc['grid.linewidth'] = 1 rc['grid.linestyle'] = ':' #rc['axes.labelweight'] = 'regular' rc['axes.linewidth'] = 2 rc['axes.labelsize'] = 'large' rc['legend.fancybox'] = True fig,ax = plt.subplots(3,1,sharex = True) fig.subplots_adjust(right = 0.75) l1, = ax[0].plot(BSBin1[0,:],linewidth = 2,color = '#66c2a5', marker = 'o',label = varNames[0]) l2, = ax[0].plot(BSBin1[1,:],linewidth = 2,color = '#fc8d62', marker = 'o',label = varNames[1]) l3, = ax[0].plot(BSBin1[2,:],linewidth = 2,color = '#8da0cb', marker = 'o',label = varNames[2]) l4, = ax[0].plot(BSBin1[3,:],linewidth = 2,color = '#e78ac3', marker = 'o',label = varNames[3]) l5, = ax[0].plot(BSBin1[4,:],linewidth = 2,color = '#a6d854', marker = 'o',label = varNames[4]) l1, = ax[1].plot(BSBin2[0,:],linewidth = 2,color = '#66c2a5', marker = 'o',label = varNames[0]) l2, = ax[1].plot(BSBin2[1,:],linewidth = 2,color = '#fc8d62', marker = 'o',label = varNames[1]) l3, = ax[1].plot(BSBin2[2,:],linewidth = 2,color = '#8da0cb', marker = 'o',label = varNames[2]) l4, = ax[1].plot(BSBin2[3,:],linewidth = 2,color = '#e78ac3', marker = 'o',label = varNames[3]) l5, = ax[1].plot(BSBin2[4,:],linewidth = 2,color = '#a6d854', marker = 'o',label = varNames[4]) l1, = ax[2].plot(BSBin3[0,:],linewidth = 2,color = '#66c2a5', marker = 'o',label = varNames[0]) l2, = ax[2].plot(BSBin3[1,:],linewidth = 2,color = '#fc8d62', marker = 'o',label = varNames[1]) l3, = ax[2].plot(BSBin3[2,:],linewidth = 2,color = '#8da0cb', marker = 'o',label = varNames[2]) l4, = ax[2].plot(BSBin3[3,:],linewidth = 2,color = '#e78ac3', marker = 'o',label = varNames[3]) l5, = ax[2].plot(BSBin3[4,:],linewidth = 2,color = '#a6d854', marker = 'o',label = varNames[4]) l6, = ax[0].plot(BSClimo1,linewidth = 2,color = 'k', marker = 'o',label = 'Climo') l6, = ax[1].plot(BSClimo2,linewidth = 2,color = 'k', marker = 'o',label = 'Climo') l6, = ax[2].plot(BSClimo3,linewidth = 2,color = 'k', marker = 'o',label = 'Climo') # Set Titles ax[0].set_title('a. Below Normal',fontsize = 12) ax[1].set_title('b. Normal',fontsize = 12) ax[2].set_title('c. Above Normal',fontsize = 12) ax[1].set_ylabel('Brier Score') ax[2].set_xlabel('Lag') ax[0].grid(True); ax[1].grid(True); ax[2].grid(True) ax[0].set_ylim((.1,.25)); ax[1].set_ylim((.1,.25)); ax[2].set_ylim((.1,.25)) ax[2].set_xticks(np.arange(0,31,5)) ax[2].xaxis.set_major_locator(majorLocator) ax[2].xaxis.set_minor_locator(minorLocator) ax[2].xaxis.set_ticks_position('bottom') ax[2].set_xticklabels(LagLabel,rotation = 45,ha = 'right') ax[0].xaxis.set_ticks_position('bottom') ax[1].xaxis.set_ticks_position('bottom') ax[2].xaxis.set_ticks_position('bottom') plt.suptitle('{0} Brier Score | 1979-2013'.format(season),fontsize = 14, fontweight = 'bold') handles,labels = ax[0].get_legend_handles_labels() lgd = fig.legend(handles,labels,bbox_to_anchor = (1.05,.75),loc = 'center right', handler_map = {l1: HandlerLine2D(numpoints = 1), l2: HandlerLine2D(numpoints = 1), l3: HandlerLine2D(numpoints = 1), l4: HandlerLine2D(numpoints = 1), l5: HandlerLine2D(numpoints = 1), l6: HandlerLine2D(numpoints = 1)}) fname = 'idp_brier_scores.jpeg' fig.savefig(fname,bbox_extra_artists = (lgd,),bbox_inches = "tight") plt.close('all') -- View this message in context: http://matplotlib.1069221.n5.nabble.com/Legend-cut-off-figure-tp45595.html Sent from the matplotlib - users mailing list archive at Nabble.com. ------------------------------------------------------------------------------ One dashboard for servers and applications across Physical-Virtual-Cloud Widest out-of-the-box monitoring support with 50+ applications Performance metrics, stats and reports that give you Actionable Insights Deep dive visibility with transaction tracing using APM Insight. http://ad.doubleclick.net/ddm/clk/290420510;117567292;y _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
