%matplotlib notebook
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
fig = plt.figure(1, figsize=(4, 3))
plt.clf()
ax = Axes3D(fig, rect=[0, 0, .95, 1], elev=48, azim=134)
result_pandas = my_df.toPandas()
ax.scatter(my_df[:, 'field_A'], my_df[:, 'field_B'], my_df[:, 'field_C'], c=my_df[:, 'prediction'])
但出现以下错误：
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-36-6c69cf98c792> in <module>()
10 ax = Axes3D(fig, rect=[0, 0, .95, 1], elev=48, azim=134)
11 result_pandas = my_df.toPandas()
---> 12 ax.scatter(result_pandas[:, 'esx_max_uptime_day'], result_pandas[:, 'esx_count_last_biweek'], result_pandas[:, 'vc_usr_count'], c=result_pandas[:, 'prediction'])
/home/edamame/anaconda2/lib/python2.7/site-packages/pandas/core/frame.pyc in __getitem__(self, key)
1995 return self._getitem_multilevel(key)
1996 else:
-> 1997 return self._getitem_column(key)
1998
1999 def _getitem_column(self, key):
/home/edamame/anaconda2/lib/python2.7/site-packages/pandas/core/frame.pyc in _getitem_column(self, key)
2002 # get column
2003 if self.columns.is_unique:
-> 2004 return self._get_item_cache(key)
2005
2006 # duplicate columns & possible reduce dimensionality
/home/edamame/anaconda2/lib/python2.7/site-packages/pandas/core/generic.pyc in _get_item_cache(self, item)
1346 """Return the cached item, item represents a label indexer."""
1347 cache = self._item_cache
-> 1348 res = cache.get(item)
1349 if res is None:
1350 values = self._data.get(item)
TypeError: unhashable type
知道这里有什么问题吗？谢谢！