100  200  300  400
0    1    1    0    1
1    1    1    1    0

intermediary_df = df_matrix["100"]

File "pandas_libshashtable_class_helper.pxi", line 958, in pandas._libs.hashtable.Int64HashTable.get_item
TypeError: an integer is required

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "A:python projectvenvlibsite-packagespandascoreindexesbase.py", line 3078, in get_loc
    return self._engine.get_loc(key)
  File "pandas_libsindex.pyx", line 140, in pandas._libs.index.IndexEngine.get_loc
  File "pandas_libsindex.pyx", line 164, in pandas._libs.index.IndexEngine.get_loc
KeyError: '100'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "pandas_libsindex.pyx", line 162, in pandas._libs.index.IndexEngine.get_loc
  File "pandas_libshashtable_class_helper.pxi", line 958, in pandas._libs.hashtable.Int64HashTable.get_item
TypeError: an integer is required

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "A:/python project/testing/testing4.py", line 42, in <module>
    intermediary_df = df_matrix["100"]
  File "A:python projectvenvlibsite-packagespandascoreframe.py", line 2688, in __getitem__
    return self._getitem_column(key)
  File "A:python projectvenvlibsite-packagespandascoreframe.py", line 2695, in _getitem_column
    return self._get_item_cache(key)
  File "A:python projectvenvlibsite-packagespandascoregeneric.py", line 2489, in _get_item_cache
    values = self._data.get(item)
  File "A:python projectvenvlibsite-packagespandascoreinternals.py", line 4115, in get
    loc = self.items.get_loc(item)
  File "A:python projectvenvlibsite-packagespandascoreindexesbase.py", line 3080, in get_loc
    return self._engine.get_loc(self._maybe_cast_indexer(key))
  File "pandas_libsindex.pyx", line 140, in pandas._libs.index.IndexEngine.get_loc
  File "pandas_libsindex.pyx", line 164, in pandas._libs.index.IndexEngine.get_loc
KeyError: '100'

intermediary_df = df_matrix.loc[:,"100"]

intermediary_df = df_matrix.iloc[:,100]