Knowee
Questions
Features
Study Tools

KeyError Traceback (most recent call last)Cell In[94], line 2 1 # Sales by customer type----> 2 sales_by_customer_type = july.groupby('Customer Type')['Amount'].sum().sort_values(ascending=False) 4 # Plotting 5 plt.figure(figsize=(12, 8))File ~\anaconda3\lib\site-packages\pandas\core\frame.py:9183, in DataFrame.groupby(self, by, axis, level, as_index, sort, group_keys, observed, dropna) 9180 if level is None and by is None: 9181 raise TypeError("You have to supply one of 'by' and 'level'")-> 9183 return DataFrameGroupBy( 9184 obj=self, 9185 keys=by, 9186 axis=axis, 9187 level=level, 9188 as_index=as_index, 9189 sort=sort, 9190 group_keys=group_keys, 9191 observed=observed, 9192 dropna=dropna, 9193 )File ~\anaconda3\lib\site-packages\pandas\core\groupby\groupby.py:1329, in GroupBy.__init__(self, obj, keys, axis, level, grouper, exclusions, selection, as_index, sort, group_keys, observed, dropna) 1326 self.dropna = dropna 1328 if grouper is None:-> 1329 grouper, exclusions, obj = get_grouper( 1330 obj, 1331 keys, 1332 axis=axis, 1333 level=level, 1334 sort=sort, 1335 observed=False if observed is lib.no_default else observed, 1336 dropna=self.dropna, 1337 ) 1339 if observed is lib.no_default: 1340 if any(ping._passed_categorical for ping in grouper.groupings):File ~\anaconda3\lib\site-packages\pandas\core\groupby\grouper.py:1043, in get_grouper(obj, key, axis, level, sort, observed, validate, dropna) 1041 in_axis, level, gpr = False, gpr, None 1042 else:-> 1043 raise KeyError(gpr) 1044 elif isinstance(gpr, Grouper) and gpr.key is not None: 1045 # Add key to exclusions 1046 exclusions.add(gpr.key)KeyError: 'Customer Type'

Question

KeyError Traceback (most recent call last)Cell In[94], line 2 1 # Sales by customer type----> 2 sales_by_customer_type = july.groupby('Customer Type')['Amount'].sum().sort_values(ascending=False) 4 # Plotting 5 plt.figure(figsize=(12, 8))File ~\anaconda3\lib\site-packages\pandas\core\frame.py:9183, in DataFrame.groupby(self, by, axis, level, as_index, sort, group_keys, observed, dropna) 9180 if level is None and by is None: 9181 raise TypeError("You have to supply one of 'by' and 'level'")-> 9183 return DataFrameGroupBy( 9184 obj=self, 9185 keys=by, 9186 axis=axis, 9187 level=level, 9188 as_index=as_index, 9189 sort=sort, 9190 group_keys=group_keys, 9191 observed=observed, 9192 dropna=dropna, 9193 )File ~\anaconda3\lib\site-packages\pandas\core\groupby\groupby.py:1329, in GroupBy.init(self, obj, keys, axis, level, grouper, exclusions, selection, as_index, sort, group_keys, observed, dropna) 1326 self.dropna = dropna 1328 if grouper is None:-> 1329 grouper, exclusions, obj = get_grouper( 1330 obj, 1331 keys, 1332 axis=axis, 1333 level=level, 1334 sort=sort, 1335 observed=False if observed is lib.no_default else observed, 1336 dropna=self.dropna, 1337 ) 1339 if observed is lib.no_default: 1340 if any(ping._passed_categorical for ping in grouper.groupings):File ~\anaconda3\lib\site-packages\pandas\core\groupby\grouper.py:1043, in get_grouper(obj, key, axis, level, sort, observed, validate, dropna) 1041 in_axis, level, gpr = False, gpr, None 1042 else:-> 1043 raise KeyError(gpr) 1044 elif isinstance(gpr, Grouper) and gpr.key is not None: 1045 # Add key to exclusions 1046 exclusions.add(gpr.key)KeyError: 'Customer Type'

...expand
🧐 Not the exact question you are looking for?Go ask a question

Solution

The error message KeyError: 'Customer Type' is indicating that the column 'Customer Type' does not exist in your DataFrame named 'july'.

Here are the steps to troubleshoot this issue:

  1. Check if the column 'Customer Type' exists in your DataFrame. You can do this by printing the column names of your DataFrame using print(july.columns).

  2. If 'Customer Type' is not in the list of column names, check your data source to ensure that the column exists and is spelled correctly. Remember that Python is case-sensitive, so 'Customer Type' is different from 'customer type'.

  3. If the column does exist in your data source, make sure that it is being read into the DataFrame correctly. If you're using pandas.read_csv() or a similar function to read your data, check the parameters of the function to ensure that all columns are being read.

  4. If the column name in your DataFrame is different from 'Customer Type', you should replace 'Customer Type' with the correct column name in your code.

  5. If 'Customer Type' is indeed the correct column name, there might be leading or trailing spaces that are causing the issue. You can remove these by using july.columns = july.columns.str.strip().

After following these steps, your code should work if the column 'Customer Type' exists in your DataFrame. If the error persists, there might be other issues with your code or data.

This problem has been solved

Similar Questions

---------------------------------------------------------------------------IndexingError Traceback (most recent call last)Cell In[6], line 2 1 # The object X contains all the columns of db except the last ----> 2 X=db.iloc[:,0:,-1] 4 # This is the lnie if we want returns above the median 5 y=db['fut_ret']>db.groupby('date')['fut_ret'].transform('median')File ~/anaconda3/lib/python3.11/site-packages/pandas/core/indexing.py:1067, in _LocationIndexer.__getitem__(self, key) 1065 if self._is_scalar_access(key): 1066 return self.obj._get_value(*key, takeable=self._takeable)-> 1067 return self._getitem_tuple(key) 1068 else: 1069 # we by definition only have the 0th axis 1070 axis = self.axis or 0File ~/anaconda3/lib/python3.11/site-packages/pandas/core/indexing.py:1563, in _iLocIndexer._getitem_tuple(self, tup) 1561 def _getitem_tuple(self, tup: tuple):-> 1563 tup = self._validate_tuple_indexer(tup) 1564 with suppress(IndexingError): 1565 return self._getitem_lowerdim(tup)File ~/anaconda3/lib/python3.11/site-packages/pandas/core/indexing.py:869, in _LocationIndexer._validate_tuple_indexer(self, key) 864 @final 865 def _validate_tuple_indexer(self, key: tuple) -> tuple: 866 """ 867 Check the key for valid keys across my indexer. 868 """--> 869 key = self._validate_key_length(key) 870 key = self._expand_ellipsis(key) 871 for i, k in enumerate(key):File ~/anaconda3/lib/python3.11/site-packages/pandas/core/indexing.py:908, in _LocationIndexer._validate_key_length(self, key) 906 raise IndexingError(_one_ellipsis_message) 907 return self._validate_key_length(key)--> 908 raise IndexingError("Too many indexers") 909 return keyIndexingError: Too many indexers

---------------------------------------------------------------------IndexingError Traceback (most recent call last)Cell In[9], line 8 5 X_train=X.loc[pd.IndexSlice[:,'2008-01-01':'2017-12-31'],:] 6 X_test=X.loc[pd.IndexSlice[:,'2018-01-01':'2022-12-31'],:]----> 8 y_train=y.loc[pd.IndexSlice[:,'2008-01-01':'2017-12-31'],:] 9 y_train=y.loc[pd.IndexSlice[:,'2018-01-01':'2017-12-31'],:]File ~/anaconda3/lib/python3.11/site-packages/pandas/core/indexing.py:1067, in _LocationIndexer.__getitem__(self, key) 1065 if self._is_scalar_access(key): 1066 return self.obj._get_value(*key, takeable=self._takeable)-> 1067 return self._getitem_tuple(key) 1068 else: 1069 # we by definition only have the 0th axis 1070 axis = self.axis or 0File ~/anaconda3/lib/python3.11/site-packages/pandas/core/indexing.py:1250, in _LocIndexer._getitem_tuple(self, tup) 1247 return self._getitem_lowerdim(tup) 1249 # no multi-index, so validate all of the indexers-> 1250 tup = self._validate_tuple_indexer(tup) 1252 # ugly hack for GH #836 1253 if self._multi_take_opportunity(tup):File ~/anaconda3/lib/python3.11/site-packages/pandas/core/indexing.py:869, in _LocationIndexer._validate_tuple_indexer(self, key) 864 @final 865 def _validate_tuple_indexer(self, key: tuple) -> tuple: 866 """ 867 Check the key for valid keys across my indexer. 868 """--> 869 key = self._validate_key_length(key) 870 key = self._expand_ellipsis(key) 871 for i, k in enumerate(key):File ~/anaconda3/lib/python3.11/site-packages/pandas/core/indexing.py:908, in _LocationIndexer._validate_key_length(self, key) 906 raise IndexingError(_one_ellipsis_message) 907 return self._validate_key_length(key)--> 908 raise IndexingError("Too many indexers") 909 return keyIndexingError: Too many indexers[ ]:

---------------------------------------------------------------------------TypeError Traceback (most recent call last)Cell In[3], line 8 5 return "Fail" 7 marks_str = input("Enter the marks obtained in the exam: ")----> 8 marks = float(marks_str) 9 result = check_pass_fail(marks) 10 print(f"The student has {result}ed the exam.")TypeError: float() argument must be a string or a real number, not 'PyodideFuture'

---------------------------------------------------------------------------NameError Traceback (most recent call last)Cell In[16], line 11 8 factors=pd.read_csv('A2_Data.zip',parse_dates=['date']).set_index(['id','date']) 10 # We comnine all the data in a single DataFrame---> 11 db=factors.join(factors_returns).dropma() 12 db.head()NameError: name 'factors_returns' is not defined

---------------------------------------------------------------------------AttributeError Traceback (most recent call last)Cell In[5], line 1----> 1 x = np.linespace(0,4*np.pi,300) 2 y = np.sin(x) 4 plr.figure()File ~\anaconda3\Lib\site-packages\numpy\__init__.py:320, in __getattr__(attr) 317 from .testing import Tester 318 return Tester--> 320 raise AttributeError("module {!r} has no attribute " 321 "{!r}".format(__name__, attr))AttributeError: module 'numpy' has no attribute 'linespace'

1/2

Upgrade your grade with Knowee

Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.