问题描述
我想使用 pcolormesh 构建一个显示 6 个栅格 (.tif) 的图形。我使用光栅从 UTM 坐标计算纬度坐标
with rio.open(T_files[0]) as r:
T0 = r.transform
p1 = Proj(r.crs)
T = r.read()
Turbidity = r.read(1)
cols,rows = np.meshgrid(np.arange(T.shape[2]),np.arange(T.shape[1]))
T1 = T0*Affine.translation(0.5,0.5)
rc2en = lambda r,c: (c,r)*T1
eastings,northings = np.vectorize(rc2en,otypes=[np.float,np.float])(rows,cols)
p2 = Proj(proj='latlong',datum='wgs84')
longs_CD,lats_CD = transform(p1,p2,eastings,northings)
这段代码用于每个光栅，因为由于卫星轨道不同，它们的尺寸都略有不同。之后我尝试使用
绘制该图fig1 = plt.figure(figsize=(30,10),dpi=150)
fig1.patch.set_alpha(1)
#fig.add_subplot(ROW,COLUMN,POSITION)
ax0 = plt.subplot(131,projection=ccrs.Mercator())
ax1 = plt.subplot(132,projection=ccrs.Mercator())
ax2 = plt.subplot(133,projection=ccrs.Mercator())
ax3 = plt.subplot(231,projection=ccrs.Mercator())
ax4 = plt.subplot(232,projection=ccrs.Mercator())
ax5 = plt.subplot(233,projection=ccrs.Mercator())
f0 = ax0.pcolormesh(longs_CD,lats_CD,np.ma.masked_invalid(TCD),shading='auto',transform = ccrs.PlateCarree(),vmin=1,vmax=200,cmap=plt.cm.rainbow,norm=colors.Lognorm(vmin=1,vmax=200))
f1 = ax1.pcolormesh(longs_ND,lats_ND,np.ma.masked_invalid(TND),vmax=200))
f2 = ax2.pcolormesh(longs_ED,lats_ED,np.ma.masked_invalid(TED),vmax=200))
f3 = ax3.pcolormesh(longs_CK,lats_CK,np.ma.masked_invalid(TCK),vmax=200))
f4 = ax4.pcolormesh(longs_NK,lats_NK,np.ma.masked_invalid(TNK),vmax=200))
f5 = ax5.pcolormesh(longs_EK,lats_EK,np.ma.masked_invalid(TEK),vmax=200))
g1 = ax0.gridlines(draw_labels = True)
g1.ylabels_right = None
g1.xlabels_bottom = None
g1.xlabel_style = {'size': 20,'color': 'k'}
g1.ylabel_style = {'size': 20,'color': 'k'}
g1 = ax1.gridlines(draw_labels = True)
g1.ylabels_left = None
g1.xlabels_bottom = None
g1.xlabel_style = {'size': 20,'color': 'k'}
g1 = ax2.gridlines(draw_labels = True)
g1.ylabels_left = None
g1.xlabels_bottom = None
g1.xlabel_style = {'size': 20,'color': 'k'}
g1 = ax3.gridlines(draw_labels = True)
g1.ylabels_left = None
g1.xlabels_bottom = None
g1.xlabel_style = {'size': 20,'color': 'k'}
g1 = ax4.gridlines(draw_labels = True)
g1.ylabels_left = None
g1.xlabels_bottom = None
g1.xlabel_style = {'size': 20,'color': 'k'}
g1 = ax5.gridlines(draw_labels = True)
g1.ylabels_left = None
g1.xlabels_bottom = None
g1.xlabel_style = {'size': 20,'color': 'k'}
cb1 = fig1.colorbar(f1,orientation="horizontal",fraction=0.05,pad=0.07)
cb1.set_label('mean Turbidity [FNU]',fontsize=18)
cb1.tick_params(labelsize=20)
plt.show()
plt.clf()
类似的代码片段对我来说通常运行良好，但这次出现错误：AttributeError: 'nonetype' object has no attribute 'spines'。我很确定这很容易解决，但我无法弄清楚。这是完整的错误信息
AttributeError Traceback (most recent call last)
<ipython-input-12-ced9235ef932> in <module>
11 f0 = ax0.pcolormesh(longs_CD,12 shading='auto',---> 13 vmin=1,vmax=200))
14
15 f1 = ax1.pcolormesh(longs_ND,~\AppData\Local\Continuum\anaconda3\lib\site-packages\cartopy\mpl\geoaxes.py in wrapper(self,*args,**kwargs)
308
309 kwargs['transform'] = transform
--> 310 return func(self,**kwargs)
311 return wrapper
312
~\AppData\Local\Continuum\anaconda3\lib\site-packages\cartopy\mpl\geoaxes.py in pcolormesh(self,**kwargs)
1559
1560 """
-> 1561 result = self._pcolormesh_patched(*args,**kwargs)
1562 self.autoscale_view()
1563 return result
~\AppData\Local\Continuum\anaconda3\lib\site-packages\cartopy\mpl\geoaxes.py in _pcolormesh_patched(self,**kwargs)
1657 self.update_datalim(corners)
1658 self.add_collection(collection)
-> 1659 self.autoscale_view()
1660
1661 ########################
~\AppData\Local\Continuum\anaconda3\lib\site-packages\cartopy\mpl\geoaxes.py in autoscale_view(self,tight,scalex,scaley)
853 def autoscale_view(self,tight=None,scalex=True,scaley=True):
854 matplotlib.axes.Axes.autoscale_view(self,tight=tight,--> 855 scalex=scalex,scaley=scaley)
856 # Limit the resulting bounds to valid area.
857 if scalex and self._autoscaleXon:
~\AppData\Local\Continuum\anaconda3\lib\site-packages\matplotlib\axes\_base.py in autoscale_view(self,scaley)
2579 handle_single_axis(
2580 scalex,self._autoscaleXon,self._shared_x_axes,'intervalx',-> 2581 'minposx',self.xaxis,self._xmargin,x_stickies,self.set_xbound)
2582 handle_single_axis(
2583 scaley,self._autoscaleYon,self._shared_y_axes,'intervaly',~\AppData\Local\Continuum\anaconda3\lib\site-packages\matplotlib\axes\_base.py in handle_single_axis(scale,autoscaleon,shared_axes,interval,minpos,axis,margin,stickies,set_bound)
2574 if not self._tight:
2575 x0,x1 = locator.view_limits(x0,x1)
-> 2576 set_bound(x0,x1)
2577 # End of deFinition of internal function 'handle_single_axis'.
2578
~\AppData\Local\Continuum\anaconda3\lib\site-packages\matplotlib\axes\_base.py in set_xbound(self,lower,upper)
3170 self.set_xlim(sorted((lower,upper),3171 reverse=bool(self.xaxis_inverted())),-> 3172 auto=None)
3173
3174 def get_xlim(self):
~\AppData\Local\Continuum\anaconda3\lib\site-packages\matplotlib\axes\_base.py in set_xlim(self,left,right,emit,auto,xmin,xmax)
3338
3339 if emit:
-> 3340 self.callbacks.process('xlim_changed',self)
3341 # Call all of the other x-axes that are shared with this one
3342 for other in self._shared_x_axes.get_siblings(self):
~\AppData\Local\Continuum\anaconda3\lib\site-packages\matplotlib\cbook\__init__.py in process(self,s,**kwargs)
227 except Exception as exc:
228 if self.exception_handler is not None:
--> 229 self.exception_handler(exc)
230 else:
231 raise
~\AppData\Local\Continuum\anaconda3\lib\site-packages\matplotlib\cbook\__init__.py in _exception_printer(exc)
79 def _exception_printer(exc):
80 if _get_running_interactive_framework() in ["headless",None]:
---> 81 raise exc
82 else:
83 traceback.print_exc()
~\AppData\Local\Continuum\anaconda3\lib\site-packages\matplotlib\cbook\__init__.py in process(self,**kwargs)
222 if func is not None:
223 try:
--> 224 func(*args,**kwargs)
225 # this does not capture KeyboardInterrupt,SystemExit,226 # and GeneratorExit
~\AppData\Local\Continuum\anaconda3\lib\site-packages\cartopy\mpl\geoaxes.py in _trigger_patch_reclip(event)
2060 axes = event.axes
2061 # trigger the outline and background patches to be re-clipped
-> 2062 axes.spines['geo'].stale = True
2063 axes.patch.stale = True
AttributeError: 'nonetype' object has no attribute 'spines'
解决方法
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