i was running this code :
data = pd.DataFrame(index=np.arange(0, total_images), columns=["patient_id", "path", "target"])
k = 0
for n in range(len(folder)):
patient_id = folder[n]
patient_path = base_path +"/"+ patient_id
for c in [0,1]:
class_path = patient_path + "/" + str(c) + "/"
subfiles = listdir(class_path)
for m in range(len(subfiles)):
image_path = subfiles[m]
data.iloc[k]["path"] = class_path + "/" +image_path
data.iloc[k]["target"] = c
data.iloc[k]["patient_id"] = patient_id
k += 1
data.head(100)
and am getting this error
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
<ipython-input-35-01bd49c11992> in <module>
10 for m in range(len(subfiles)):
11 image_path = subfiles[m]
---> 12 data.iloc[k]["path"] = class_path + "/" +image_path
13 data.iloc[k]["target"] = c
14 data.iloc[k]["patient_id"] = patient_id
~\Miniconda3\envs\tensorflow\lib\site-packages\pandas\core\indexing.py in __getitem__(self, key)
1422
1423 maybe_callable = com.apply_if_callable(key, self.obj)
-> 1424 return self._getitem_axis(maybe_callable, axis=axis)
1425
1426 def _is_scalar_access(self, key: Tuple):
~\Miniconda3\envs\tensorflow\lib\site-packages\pandas\core\indexing.py in _getitem_axis(self, key, axis)
2155
2156 # validate the location
-> 2157 self._validate_integer(key, axis)
2158
2159 return self._get_loc(key, axis=axis)
~\Miniconda3\envs\tensorflow\lib\site-packages\pandas\core\indexing.py in _validate_integer(self, key, axis)
2086 len_axis = len(self.obj._get_axis(axis))
2087 if key >= len_axis or key < -len_axis:
-> 2088 raise IndexError("single positional indexer is out-of-bounds")
2089
2090 def _getitem_tuple(self, tup):
IndexError: single positional indexer is out-of-bounds
can anyone help me please ?