I am loading a csv file which have datetime, when trying to convert using df['times'] = pd.to_datetime(df['times'], format='%Y-%m-%d %H:%M:%S')
its giving keyerror. Also please find the of Jupyter notebook
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KeyError Traceback (most recent call last)
~/Software/Anytrader/venv/lib/python3.6/site-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance)
2656 try:
-> 2657 return self._engine.get_loc(key)
2658 except KeyError:
pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()
pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()
KeyError: 'times'
During handling of the above exception, another exception occurred:
KeyError Traceback (most recent call last)
<ipython-input-6-4f05a9476911> in <module>
----> 1 df['times'] = pd.to_datetime(df['times'], format='%Y-%m-%d %H:%M:%S')
2 df.dtypes
~/Software/Anytrader/venv/lib/python3.6/site-packages/pandas/core/frame.py in __getitem__(self, key)
2925 if self.columns.nlevels > 1:
2926 return self._getitem_multilevel(key)
-> 2927 indexer = self.columns.get_loc(key)
2928 if is_integer(indexer):
2929 indexer = [indexer]
~/Software/Anytrader/venv/lib/python3.6/site-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance)
2657 return self._engine.get_loc(key)
2658 except KeyError:
-> 2659 return self._engine.get_loc(self._maybe_cast_indexer(key))
2660 indexer = self.get_indexer([key], method=method, tolerance=tolerance)
2661 if indexer.ndim > 1 or indexer.size > 1:
pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()
pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()
KeyError: 'times'
CodePudding user response:
From your screenshot, it looks like your column names include quotes. Try this:
df["'times'"] = pd.to_datetime(df["'times'"], format='%Y-%m-%d %H:%M:%S')
Alternatively (and probably better), you could strip the quotes from your column names right after loading the data from the file.
df.columns = df.columns.str.strip("'")