在Python中使用Matplotlib(2.7.9)。我必须在一个子块中绘制一个表(在本例中,子块名是tab),但似乎找不到更改表的字体大小的方法(http://imgur.com/0Ttvzee-左下角)。安特曼对结果很满意,我不满意。 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(取消)解决了打印文本而不是表格的问题。很好。
根据the docs,
table
有一个称为fontsize
的kwarg,它是点大小的浮点值。在上面的示例中,对于字体大小为5的点,您将使用:
如果需要更大的控制,可以将^{} 实例传递给
cell.set_text_props()
方法,如this example中所述。这将使您能够设置家庭,间距,样式等,除了大小。编辑:在玩Matplotlib的example时,似乎仅仅将
fontsize
传递给表没有任何效果。但是,导入然后在细胞间循环并运行
确实有预期的效果。目前还不清楚为什么文档化的kwarg
fontsize
在这种情况下(或者显然在您的情况下)不起作用。我在改变字体大小方面也遇到了类似的问题。尝试以下操作
为我工作。
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