遵循快速入门示例，尝试在以下位置拟合模型时遇到问题：
m.fit(df);
终端显示：
Traceback (most recent call last):
File "/home/cartier/miniconda2/envs/prophet/lib/python3.6/site-packages/pandas/indexes/base.py", line 2134, in get_loc
return self._engine.get_loc(key)
File "pandas/index.pyx", line 132, in pandas.index.IndexEngine.get_loc (pandas/index.c:4433)
File "pandas/index.pyx", line 154, in pandas.index.IndexEngine.get_loc (pandas/index.c:4279)
File "pandas/src/hashtable_class_helper.pxi", line 732, in pandas.hashtable.PyObjectHashTable.get_item (pandas/hashtable.c:13742)
File "pandas/src/hashtable_class_helper.pxi", line 740, in pandas.hashtable.PyObjectHashTable.get_item (pandas/hashtable.c:13696)
KeyError: 'ds'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "prophexample.py", line 10, in <module>
m.fit(df);
File "/home/cartier/miniconda2/envs/prophet/lib/python3.6/site-packages/fbprophet/forecaster.py", line 484, in fit
self.history_dates = pd.to_datetime(df['ds']).sort_values()
File "/home/cartier/miniconda2/envs/prophet/lib/python3.6/site-packages/pandas/core/frame.py", line 2059, in __getitem__
return self._getitem_column(key)
File "/home/cartier/miniconda2/envs/prophet/lib/python3.6/site-packages/pandas/core/frame.py", line 2066, in _getitem_column
return self._get_item_cache(key)
File "/home/cartier/miniconda2/envs/prophet/lib/python3.6/site-packages/pandas/core/generic.py", line 1386, in _get_item_cache
values = self._data.get(item)
File "/home/cartier/miniconda2/envs/prophet/lib/python3.6/site-packages/pandas/core/internals.py", line 3543, in get
loc = self.items.get_loc(item)
File "/home/cartier/miniconda2/envs/prophet/lib/python3.6/site-packages/pandas/indexes/base.py", line 2136, in get_loc
return self._engine.get_loc(self._maybe_cast_indexer(key))
File "pandas/index.pyx", line 132, in pandas.index.IndexEngine.get_loc (pandas/index.c:4433)
File "pandas/index.pyx", line 154, in pandas.index.IndexEngine.get_loc (pandas/index.c:4279)
File "pandas/src/hashtable_class_helper.pxi", line 732, in pandas.hashtable.PyObjectHashTable.get_item (pandas/hashtable.c:13742)
File "pandas/src/hashtable_class_helper.pxi", line 740, in pandas.hashtable.PyObjectHashTable.get_item (pandas/hashtable.c:13696)
KeyError: 'ds'
当我打印头，尾或整个df时，这很好：
ds y
0 2007-12-10 9.590761
1 2007-12-11 8.519590
2 2007-12-12 8.183677
3 2007-12-13 8.072467
4 2007-12-14 7.893572
这是因为我不使用笔记本电脑还是我遗漏了其他东西？谢谢
最佳答案
发现csv文件没有所有日期。日期从08年7月13日跳到2008年7月31日。一旦我输入了一些随机y值的缺失日期，就很好了。也许有一个设置/命令可以忽略缺少的日期...