Hi, I'm getting a keyerror of species, please advice after looking at this error

I am using seaborn but it is just a command to count data points for each class are present
I wrote this- iris["species"].value_counts()

---

KeyError Traceback (most recent call last)
~/anaconda3/lib/python3.7/site-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance)
2645 try:
-> 2646 return self._engine.get_loc(key)
2647 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: 'species'

During handling of the above exception, another exception occurred:

KeyError Traceback (most recent call last)
in
----> 1 iris["species"].value_counts()

~/anaconda3/lib/python3.7/site-packages/pandas/core/frame.py in getitem(self, key)
2798 if self.columns.nlevels > 1:
2799 return self._getitem_multilevel(key)
-> 2800 indexer = self.columns.get_loc(key)
2801 if is_integer(indexer):
2802 indexer = [indexer]

~/anaconda3/lib/python3.7/site-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance)
2646 return self._engine.get_loc(key)
2647 except KeyError:
-> 2648 return self._engine.get_loc(self._maybe_cast_indexer(key))
2649 indexer = self.get_indexer([key], method=method, tolerance=tolerance)
2650 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: 'species'

Thank you

[praveenalbert]

Here are a few things you can check:
Column Name Existence: Ensure that there is a column named 'species' in your DataFrame. You can check the column names using iris.columns.

print(iris.columns)
Typo or Case Sensitivity: Verify that you're using the correct column name, including any capitalization. Python is case-sensitive, so 'species' is different from 'Species' or 'SPECIES'.

Data Loading: Make sure that you have successfully loaded the data into the DataFrame. If there was an issue with loading the data, the column may not exist.

Data Structure: Ensure that iris is indeed a DataFrame. You can check its type with type(iris).

Data Cleaning: It's possible that there was an issue with how the data was loaded or preprocessed. Double-check the data source or loading code to make sure the column exists.

If you're still having trouble, please provide a bit more context or the relevant code snippets so I can assist you further.