Reputation: 51
I'm trying to change column or deal with columns and I'm getting some keyError error. Working on chicago crime data analysis.
For example when i'm trying to run
ds["DATE OF OCCURRENCE"] = pd.to_datetime([ds["DATE OF OCCURRENCE"]], format="%m/%d/%Y %I:%M:%S %p")
KeyError
Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance)
Complete code:
import pandas as pd
url="https://data.cityofchicago.org/api/views/x2n5-8w5q/rows.csv?accessType=DOWNLOAD"
df= pd.read_csv(url)
ds = df.copy()
ds["DATE OF OCCURRENCE"] = pd.to_datetime([ds["DATE OF OCCURRENCE"]], format="%m/%d/%Y %I:%M:%S %p")
This is the Error:
2896 try: -> 2897 return self._engine.get_loc(key) 2898 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: 'DATE OF OCCURRENCE'
During handling of the above exception, another exception occurred:
KeyError Traceback (most recent call last) 2 frames /usr/local/lib/python3.6/dist-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance) 2897 return self._engine.get_loc(key) 2898 except KeyError: -> 2899 return self._engine.get_loc(self._maybe_cast_indexer(key)) 2900
indexer = self.get_indexer([key], method=method, tolerance=tolerance) 2901 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: 'DATE OF OCCURRENCE'
Upvotes: 3
Views: 5976
Reputation: 862851
Your column is renamed, so need Crime_Date
and also select column only one []
for Series
:
ds["Crime_Date"] = pd.to_datetime(ds["Crime_Date"], format="%m/%d/%Y %I:%M:%S %p")
EDIT:
There are some spaces in column name, so need:
ds["DATE OF OCCURRENCE"] = pd.to_datetime(ds["DATE OF OCCURRENCE"], format="%m/%d/%Y %I:%M:%S %p")
Upvotes: 2