i am working on Youtube API for Python: How to Create a Unique Data Portfolio Project

and i always got an error message while running this code:

import isodatevideo_df["durationSecs"]= video_df["duration"].apply(lambda x: isodate.parse_duration(x))video_df["durationSecs"]= video_df["durationSecs"].astype("timedelta64[s]")

error message is:

TypeError Traceback (most recent calllast) Cell In[111], line 21 import isodate----> 2 video_df["durationSecs"]= video_df["duration"].apply(lambda x: isodate.parse_duration(x))3 video_df["durationSecs"]= video_df["durationSecs"].astype("timedelta64[s]")

File/usr/local/lib/python3.11/site-packages/pandas/core/series.py:4764, inSeries.apply(self, func, convert_dtype, args, by_row, **kwargs)
4629 def apply( 4630 self, 4631 func: AggFuncType,
(...) 4636 **kwargs, 4637 ) -> DataFrame | Series: 4638
""" 4639 Invoke function on values of Series. 4640 (...)4755 dtype: float64 4756 """ 4757 returnSeriesApply( 4758 self, 4759 func, 4760
convert_dtype=convert_dtype, 4761 by_row=by_row, 4762
args=args, 4763 kwargs=kwargs,-> 4764 ).apply()

File/usr/local/lib/python3.11/site-packages/pandas/core/apply.py:1209, inSeriesApply.apply(self) 1206 return self.apply_compat() 1208

self.func is Callable

-> 1209 return self.apply_standard()

File/usr/local/lib/python3.11/site-packages/pandas/core/apply.py:1289, inSeriesApply.apply_standard(self) 1283 # row-wise access 1284 #apply doesn't have a na_action keyword and for backward compatreasons 1285 # we need to give na_action="ignore" for categoricaldata. 1286 # TODO: remove the na_action="ignore" when thatdefault has been changed in 1287 # Categorical (GH51645). 1288action = "ignore" if isinstance(obj.dtype, CategoricalDtype) else None-> 1289 mapped = obj._map_values( 1290 mapper=curried, na_action=action, convert=self.convert_dtype 1291 ) 1293 iflen(mapped) and isinstance(mapped[0], ABCSeries): 1294 #GH#43986 Need to do list(mapped) in order to get treated as nested
1295 # See also GH#25959 regarding EA support 1296 returnobj._constructor_expanddim(list(mapped), index=obj.index)

File /usr/local/lib/python3.11/site-packages/pandas/core/base.py:919,in IndexOpsMixin._map_values(self, mapper, na_action, convert)916 arr = self._values918 if isinstance(arr, ExtensionArray):--> 919 return arr.map(mapper, na_action=na_action)921 return algorithms.map_array(arr, mapper, na_action=na_action, convert=convert)

File/usr/local/lib/python3.11/site-packages/pandas/core/arrays/_mixins.py:80,in ravel_compat..method(self, *args, **kwargs)77 @wraps(meth)78 def method(self, *args, **kwargs):79 if self.ndim == 1:---> 80 return meth(self, *args, **kwargs)82 flags = self._ndarray.flags83 flat = self.ravel("K")

File/usr/local/lib/python3.11/site-packages/pandas/core/arrays/datetimelike.py:723,in DatetimeLikeArrayMixin.map(self, mapper, na_action)719 @ravel_compat720 def map(self, mapper, na_action=None):721 from pandas import Index--> 723 result = map_array(self, mapper, na_action=na_action)724 result = Index(result)726 if isinstance(result, ABCMultiIndex):

File/usr/local/lib/python3.11/site-packages/pandas/core/algorithms.py:1814,in map_array(arr, mapper, na_action, convert) 1812 values =arr.astype(object, copy=False) 1813 if na_action is None:-> 1814 return lib.map_infer(values, mapper, convert=convert) 1815 else: 1816 return lib.map_infer_mask( 1817
values, mapper, mask=isna(values).view(np.uint8), convert=convert
1818 )

File lib.pyx:2926, in pandas._libs.lib.map_infer()

Cell In[111], line 2, in (x)1 import isodate----> 2 video_df["durationSecs"]= video_df["duration"].apply(lambda x: isodate.parse_duration(x))3 video_df["durationSecs"]= video_df["durationSecs"].astype("timedelta64[s]")

File/usr/local/lib/python3.11/site-packages/isodate/isoduration.py:86, inparse_duration(datestring)58 """59 Parses an ISO 8601 durations into datetime.timedelta or Duration objects.60 (...)83 days set to 0.84 """85 if not isinstance(datestring, string_types):---> 86 raise TypeError("Expecting a string %r" % datestring)87 match = ISO8601_PERIOD_REGEX.match(datestring)88 if not match:89 # try alternative format:

TypeError: Expecting a string Timedelta('0 days 00:00:29')enter code here