ubco-mds-2020-labs / covid_vaccine_dashboard Goto Github PK

Improve readability by adding commas to summary stats on dashboard

Hey team, just wanted to remind you that this dashboard is still running and still fetching data - perhaps too frequently? Consider reducing the frequency (especially if the dashboard is dormant) with which the data is pulled as it does take some compute cycles to do this.

Feedback indicates that it is not clear that the map clicks change the plots on the side of tab-1. Also, maybe lacking clarity with regards to which locality is selected.
Please update choropleth map to have selected localities turn red and stay that way until next selection is made.

KeyError Traceback (most recent call last)
~\anaconda3\envs\r-tensorflow\lib\site-packages\pandas\core\indexes\base.py in get_loc(self, key, method, tolerance)
2897 try:
-> 2898 return self._engine.get_loc(casted_key)
2899 except KeyError as err:

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: 'total_vaccinations_int'

The above exception was the direct cause of the following exception:

KeyError Traceback (most recent call last)
in
----> 1 data.groupby(['country','date']).apply(lambda x:np.sum(x['total_vaccinations_int'])/np.sum(x['pop_est'])).reset_index().rename(columns={0:'num_vaccines_per_capita'})

~\anaconda3\envs\r-tensorflow\lib\site-packages\pandas\core\groupby\groupby.py in apply(self, func, *args, **kwargs)
857 with option_context("mode.chained_assignment", None):
858 try:
--> 859 result = self._python_apply_general(f, self._selected_obj)
860 except TypeError:
861 # gh-20949

~\anaconda3\envs\r-tensorflow\lib\site-packages\pandas\core\groupby\groupby.py in _python_apply_general(self, f, data)
890 data after applying f
891 """
--> 892 keys, values, mutated = self.grouper.apply(f, data, self.axis)
893
894 return self._wrap_applied_output(

~\anaconda3\envs\r-tensorflow\lib\site-packages\pandas\core\groupby\ops.py in apply(self, f, data, axis)
218 # group might be modified
219 group_axes = group.axes
--> 220 res = f(group)
221 if not _is_indexed_like(res, group_axes):
222 mutated = True

in (x)
----> 1 data.groupby(['country','date']).apply(lambda x:np.sum(x['total_vaccinations_int'])/np.sum(x['pop_est'])).reset_index().rename(columns={0:'num_vaccines_per_capita'})

~\anaconda3\envs\r-tensorflow\lib\site-packages\pandas\core\frame.py in getitem(self, key)
2904 if self.columns.nlevels > 1:
2905 return self._getitem_multilevel(key)
-> 2906 indexer = self.columns.get_loc(key)
2907 if is_integer(indexer):
2908 indexer = [indexer]

~\anaconda3\envs\r-tensorflow\lib\site-packages\pandas\core\indexes\base.py in get_loc(self, key, method, tolerance)
2898 return self._engine.get_loc(casted_key)
2899 except KeyError as err:
-> 2900 raise KeyError(key) from err
2901
2902 if tolerance is not None:

KeyError: 'total_vaccinations_int'