When I run cell 8 of chapter 5 on JupyterLite I get the following error:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Cell In[8], line 1
----> 1 weather_mar2012.columns = [
2 u'Year', u'Month', u'Day', u'Time', u'Data Quality', u'Temp (C)',
3 u'Temp Flag', u'Dew Point Temp (C)', u'Dew Point Temp Flag',
4 u'Rel Hum (%)', u'Rel Hum Flag', u'Wind Dir (10s deg)', u'Wind Dir Flag',
5 u'Wind Spd (km/h)', u'Wind Spd Flag', u'Visibility (km)', u'Visibility Flag',
6 u'Stn Press (kPa)', u'Stn Press Flag', u'Hmdx', u'Hmdx Flag', u'Wind Chill',
7 u'Wind Chill Flag', u'Weather']
File /lib/python3.11/site-packages/pandas/core/generic.py:6313, in NDFrame.__setattr__(self, name, value)
6311 try:
6312 object.__getattribute__(self, name)
-> 6313 return object.__setattr__(self, name, value)
6314 except AttributeError:
6315 pass
File properties.pyx:69, in pandas._libs.properties.AxisProperty.__set__()
File /lib/python3.11/site-packages/pandas/core/generic.py:814, in NDFrame._set_axis(self, axis, labels)
809 """
810 This is called from the cython code when we set the `index` attribute
811 directly, e.g. `series.index = [1, 2, 3]`.
812 """
813 labels = ensure_index(labels)
--> 814 self._mgr.set_axis(axis, labels)
815 self._clear_item_cache()
File /lib/python3.11/site-packages/pandas/core/internals/managers.py:238, in BaseBlockManager.set_axis(self, axis, new_labels)
236 def set_axis(self, axis: AxisInt, new_labels: Index) -> None:
237 # Caller is responsible for ensuring we have an Index object.
--> 238 self._validate_set_axis(axis, new_labels)
239 self.axes[axis] = new_labels
File /lib/python3.11/site-packages/pandas/core/internals/base.py:98, in DataManager._validate_set_axis(self, axis, new_labels)
95 pass
97 elif new_len != old_len:
---> 98 raise ValueError(
99 f"Length mismatch: Expected axis has {old_len} elements, new "
100 f"values have {new_len} elements"
101 )
ValueError: Length mismatch: Expected axis has 8 elements, new values have 24 elements
I'm fairly confident this is caused by the workaround in cell 5:
#url = url_template.format(month=3, year=2012)
#weather_mar2012 = pd.read_csv(url, skiprows=15, index_col='Date/Time', parse_dates=True, encoding='latin1', header=True)
# because the url is broken, we use our saved dataframe for now
weather_mar2012 = pd.read_csv('./data/weather_2012.csv')
I'd submit a PR to fix but I'm not sure what shape the data that was supposed to be downloaded is.
When I run cell 8 of chapter 5 on JupyterLite I get the following error:
I'm fairly confident this is caused by the workaround in cell 5:
I'd submit a PR to fix but I'm not sure what shape the data that was supposed to be downloaded is.