在Python中使用Matplotlib(2.7.9)。我必须在子图中绘制一个表(在这种情况下,子图名称是选项卡)但我似乎无法找到一种方法来更改表的字体大小(http://imgur.com/0Ttvzee - 左下角)。安特曼对结果感到高兴,我不是。 这是我一直在使用的代码。
编辑:添加完整代码
def stat_chart(self):
DN = self.diff
ij = self.ij_list
mcont = self.mcont
ocont = self.ocont
ucont = self.ucont
dist = self.widths
clon = '%1.2f' %self.mclon
clat = '%1.2f' %self.mclat
clonlat = "{0}/{1}".format(clon,clat)
area = self.area
perim = self.perimeter
mdist = np.array(self.widths)
mdist = mdist[:,0]*10
mdist = np.mean(mdist)
pstat = self.polygon_status
if pstat == 1:
status = "Overestimation"
else:
status = "Underestimation"
# Setting up the plot (2x2) and subplots
fig = plt.figure()
gs = gridspec.GridSpec(2,2,width_ratios=[2,1],height_ratios=[4,1])
main = plt.subplot(gs[0,0])
polyf = plt.subplot(gs[0,1])
tab = plt.subplot(gs[1,0])
leg = plt.subplot(gs[1,1])
tab.set_xticks([])
leg.set_xticks([])
tab.set_yticks([])
leg.set_yticks([])
tab.set_frame_on(False)
leg.set_frame_on(False)
# Main image on the top left
main.imshow(DN[::-1],cmap='winter')
x1,x2,y1,y2 = np.min(ij[:,1])-15,np.max(ij[:,1])+15,np.min(ij[:,0])-15,np.max(ij[:,0])+15
main.axvspan(x1,x2,ymin=1-((y1-320)/float(len(DN)-320)),ymax=1-((y2-320)/float(len(DN)-320)),color='red',alpha=0.3)
main.axis([0,760,0,800])
# Polygon image on the top right
polyf.imshow(DN,cmap='winter')
polyf.axis([x1,x2,y2,y1])
polyf.plot(mcont[:,1],mcont[:,0],'ro',markersize=4)
polyf.plot(ocont[:,1],ocont[:,0],'yo',markersize=4)
polyf.plot(ucont[:,1],ucont[:,0],'go',markersize=4)
for n,en in enumerate(dist):
polyf.plot([en[2],en[4]],[en[1],en[3]],color='grey',alpha=0.3)
# Legend on the bottom right
mc = mlines.Line2D([],[],color='red',marker='o')
oc = mlines.Line2D([],[],color='yellow',marker='o')
uc = mlines.Line2D([],[],color='green',marker='o')
ed = mlines.Line2D([],[],color='black',alpha=0.5)
pos_p = mpatches.Patch(color='lightgreen')
neg_p = mpatches.Patch(color='royalblue')
leg.legend([mc,oc,uc,ed,pos_p,neg_p],("Model Cont.","Osisaf Cont.","Unknown Cont.","Dist. Mdl to Osi", \
'Model Overestimate','Model Underestimate'),loc='center')
# Statistics table on the bottom left
stats = [[clonlat+' degrees' ,'%1.4E km^2' %area,'%1.4E km' %perim,'%1.4f km' %mdist,status]]
columns = ('Center Lon/Lat','Area','Perimeter','Mean Width','Status')
rows = ['TODOpolyname']
cwid = [0.1,0.1,0.1,0.1,0.1,0.1]
the_table = tab.table(cellText=stats,colWidths=cwid,rowLabels=rows,colLabels=columns,loc='center')
table_props = the_table.properties()
table_cells = table_props['child_artists']
for cell in table_cells: cell.set_height(0.5)
plt.show()
return
EDIT2:最终(联合国)解决了绘图文本而不是表格。够好了。
答案 0 :(得分:10)
我在更改fontsize时遇到了类似的问题。请尝试以下
the_table.auto_set_font_size(False)
the_table.set_fontsize(5.5)
为我工作。
答案 1 :(得分:3)
根据the docs,table
有一个名为fontsize
的kwarg,一个以磅为单位的浮点值。
在上面的示例中,对于5点的字体大小,您将使用:
the_table =tab.table(cellText=stats,colWidths=cwid,rowLabels=rows,colLabels=columns,loc='center',fontsize=5)
如果您需要更好的控制权,可以按FontManager
中的说明将this example实例传递给cell.set_text_props()
方法。除了尺寸之外,这还可以让你设置系列,间距,样式等。
编辑:玩Matplotlib的example,似乎只是将fontsize
传递给表格无效。但是,导入
from matplotlib.font_manager import FontProperties
然后循环遍历单元格并运行
cell.set_text_props(fontproperties=FontProperties(size = 5))
确实有所需的效果。目前还不清楚为什么记录的kwarg fontsize
在这个(或显然在你的)情况下不起作用。