彩条/绘图问题？“ posx和posy应该是有限值”

Question

问题

因此，我有一个包含6层（array.size = (192,288,6)）的lat-lon数组，其中包含一堆数据，其值范围从近0到到0.65。当我从每个6图层（[:,:,0]，[:,:,1]等）绘制数据时，除了，我都没有问题并得到一张漂亮的地图[:,:,4]。出于某种原因，当我尝试绘制此2D数组时，收到一条我不理解的错误消息，并且仅当我尝试包含色条时才会出现。如果我不使用颜色条，就没有错误，但是我需要颜色条...

代码

这是我用于数组其他部分的代码以及生成的图。我们一起去吧[:,:,5]。

#Set labels
lonlabels = ['0','45E','90E','135E','180','135W','90W','45W','0']
latlabels = ['90S','60S','30S','Eq.','30N','60N','90N']

#Set cmap properties
bounds = np.array([0,0.001,0.01,0.05,0.1,0.2,0.3,0.4,0.5,0.6])
boundlabels = ['0','0.001','0.01','0.05','0.1','0.2','0.3','0.4','0.5','0.6']
cmap = plt.get_cmap('jet')
norm = colors.PowerNorm(0.35,vmax=0.65) #creates logarithmic scale

#Create basemap
fig,ax = plt.subplots(figsize=(15.,10.))
m = Basemap(projection='cyl',llcrnrlat=-90,urcrnrlat=90,llcrnrlon=0,urcrnrlon=360.,lon_0=180.,resolution='c')
m.drawcoastlines(linewidth=2,color='w')
m.drawcountries(linewidth=2,color='w')
m.drawparallels(np.arange(-90,90,30.),linewidth=0.3)
m.drawmeridians(np.arange(-180.,180.,45.),linewidth=0.3)   
meshlon,meshlat = np.meshgrid(lon,lat)
x,y = m(meshlon,meshlat)

#Plot variables
trend = m.pcolormesh(x,y,array[:,:,5],cmap='jet',norm=norm,shading='gouraud')

#Set plot properties
#Colorbar
cbar=m.colorbar(trend, size='5%',ticks=bounds,location='bottom',pad=0.8)
cbar.set_label(label='Here is a label',size=25)
cbar.set_ticklabels(boundlabels)
for t in cbar.ax.get_xticklabels():
    t.set_fontsize(25)
#Titles & labels
ax.set_title('Here is a title for [:,:,5]',fontsize=35)
ax.set_xlabel('Longitude',fontsize=25)
ax.set_xticks(np.arange(0,405,45))
ax.set_xticklabels(lonlabels,fontsize=20)
ax.set_yticks(np.arange(-90,120,30))
ax.set_yticklabels(latlabels,fontsize=20)

现在，当我使用完全相同的代码但为array[:,:,4]而不是进行绘制时array[:,:,5]，出现此错误。

ValueError                                Traceback (most recent call last)
/linuxapps/anaconda/lib/python2.7/site-packages/IPython/core/formatters.pyc in __call__(self, obj)
    305                 pass
    306             else:
--> 307                 return printer(obj)
    308             # Finally look for special method names
    309             method = get_real_method(obj, self.print_method)

[lots of further traceback]

/linuxapps/anaconda/lib/python2.7/site-packages/matplotlib/text.pyc in draw(self, renderer)
    755             posy = float(textobj.convert_yunits(textobj._y))
    756             if not np.isfinite(posx) or not np.isfinite(posy):
--> 757                 raise ValueError("posx and posy should be finite values")
    758             posx, posy = trans.transform_point((posx, posy))
    759             canvasw, canvash = renderer.get_canvas_width_height()

ValueError: posx and posy should be finite values

我不知道为什么要这么做，因为我对阵列图的其他每个部分的代码都很好，而且它们都使用相同的网格。NaN数组中没有。如果我将#Colorbar和之间的所有代码都注释掉，这也是结果#Titles & labels

更新：当我包含颜色条码但将其更改PowerNorm为1.0（norm = colors.PowerNorm(1.0,vmax=0.65)）时，问题也消失了。1.0包括颜色条时，除生成错误以外，其他所有操作均不发生。

问题

可能是什么原因导致posx＆posy错误消息，如何消除该错误消息，以便可以使用包含颜色栏的图表进行绘制？

更新

当我从头开始运行内核时，再次使用相同的代码（除了将0.6绑定更改为0.65），在该array[:,:,4]块中收到以下警告。我不确定它们是否相关，但是为了以防万一，我将它们包括在内。

/linuxapps/anaconda/lib/python2.7/site-packages/matplotlib/colors.py:1202: RuntimeWarning: invalid value encountered in power
  np.power(resdat, gamma, resdat)

[<matplotlib.text.Text at 0x2af62c8e6710>,
 <matplotlib.text.Text at 0x2af62c8ffed0>,
 <matplotlib.text.Text at 0x2af62cad8e90>,
 <matplotlib.text.Text at 0x2af62cadd3d0>,
 <matplotlib.text.Text at 0x2af62caddad0>,
 <matplotlib.text.Text at 0x2af62cae7250>,
 <matplotlib.text.Text at 0x2af62cacd050>]

/linuxapps/anaconda/lib/python2.7/site-packages/matplotlib/axis.py:1015:     UserWarning: Unable to find pixel distance along axis for interval padding of ticks; assuming no interval padding needed.
  warnings.warn("Unable to find pixel distance along axis "
/linuxapps/anaconda/lib/python2.7/site-packages/matplotlib/axis.py:1025:     UserWarning: Unable to find pixel distance along axis for interval padding of ticks; assuming no interval padding needed.
  warnings.warn("Unable to find pixel distance along axis "

Answer 1

因此，我发现指定vmax并vmin解决了问题。我不知道为什么，但是一旦这样做，我的图就可以通过色标正确显示出来。

trend = m.pcolormesh(x,y,array[:,:,5],cmap='jet',norm=norm,shading='gouraud',vmin=0.,vmax=0.6)