问题描述
这是我的数据(只是一些来自 xarray 的样本数据)并制作了等高线图。但是我想制作自己的颜色条而不是使用 xarray 的嵌入颜色条。我如何让 xarray 做到这一点?
ds = xr.tutorial.open_dataset("air_temperature.nc").rename({"air": "Tair"})
# we will add a gradient field with appropriate attributes
ds["dTdx"] = ds.Tair.differentiate("lon") / 110e3 / np.cos(ds.lat * np.pi / 180)
ds["dTdy"] = ds.Tair.differentiate("lat") / 105e3
ds.dTdx.attrs = {"long_name": "$∂T/∂x$","units": "°C/m"}
ds.dTdy.attrs = {"long_name": "$∂T/∂y$","units": "°C/m"}
ds.Tair.isel(time=1).plot()
plt.show()
我尝试做 plt.colorbar(False) 但这没有用,我收到了这个错误:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-53-bcb5ae6a218e> in <module>
8
9 ds.Tair.isel(time=1).plot()
---> 10 plt.colorbar(False)
11 plt.show()
~/miniconda3/envs/py3_std_maps/lib/python3.8/site-packages/matplotlib/pyplot.py in colorbar(mappable,cax,ax,**kw)
2176 if ax is None:
2177 ax = gca()
-> 2178 ret = gcf().colorbar(mappable,cax=cax,ax=ax,**kw)
2179 return ret
2180 colorbar.__doc__ = matplotlib.colorbar.colorbar_doc
~/miniconda3/envs/py3_std_maps/lib/python3.8/site-packages/matplotlib/figure.py in colorbar(self,mappable,use_gridspec,**kw)
2341 'panchor']
2342 cb_kw = {k: v for k,v in kw.items() if k not in NON_COLORBAR_KEYS}
-> 2343 cb = cbar.colorbar_factory(cax,**cb_kw)
2344
2345 self.sca(current_ax)
~/miniconda3/envs/py3_std_maps/lib/python3.8/site-packages/matplotlib/colorbar.py in colorbar_factory(cax,**kwargs)
1729 cb = ColorbarPatch(cax,**kwargs)
1730 else:
-> 1731 cb = Colorbar(cax,**kwargs)
1732
1733 cid = mappable.callbacksSM.connect('changed',cb.update_normal)
~/miniconda3/envs/py3_std_maps/lib/python3.8/site-packages/matplotlib/colorbar.py in __init__(self,**kwargs)
1197 # Ensure the given mappable's norm has appropriate vmin and vmax set
1198 # even if mappable.draw has not yet been called.
-> 1199 if mappable.get_array() is not None:
1200 mappable.autoscale_None()
1201
AttributeError: 'bool' object has no attribute 'get_array'