I tried many times and different codes to create the boxplot but it does not work. I think my code is correct. but I still have errors showing. Please help!! Thank you!!
Screen Link: https://app.dataquest.io/m/348/guided-project%3A-clean-and-analyze-employee-exit-surveys/6/create-a-new-column
My Code:
import matplotlib.pyplot as plt
%matplotlib inline
fig=plt.figure()
ax1=fig.add_subplot(1,2,1)
ax2=fig.add_subplot(1,2,2)
ax1.boxplot(dete_resignations['cease_date'])
ax2.boxplot(dete_resignations['dete_start_dete'])
plt.show()
What actually happened:
KeyErrorTraceback (most recent call last)
<ipython-input-18-630b7f32599c> in <module>()
4 ax1=fig.add_subplot(1,2,1)
5 ax2=fig.add_subplot(1,2,2)
----> 6 ax1.boxplot(dete_resignations['cease_date'])
7 ax2.boxplot(dete_resignations['dete_start_dete'])
8 plt.show()
/dataquest/system/env/python3/lib/python3.4/site-packages/matplotlib/__init__.py in inner(ax, *args, **kwargs)
1810 warnings.warn(msg % (label_namer, func.__name__),
1811 RuntimeWarning, stacklevel=2)
-> 1812 return func(ax, *args, **kwargs)
1813 pre_doc = inner.__doc__
1814 if pre_doc is None:
/dataquest/system/env/python3/lib/python3.4/site-packages/matplotlib/axes/_axes.py in boxplot(self, x, notch, sym, vert, whis, positions, widths, patch_artist, bootstrap, usermedians, conf_intervals, meanline, showmeans, showcaps, showbox, showfliers, boxprops, labels, flierprops, medianprops, meanprops, capprops, whiskerprops, manage_xticks)
3210 bootstrap = rcParams['boxplot.bootstrap']
3211 bxpstats = cbook.boxplot_stats(x, whis=whis, bootstrap=bootstrap,
-> 3212 labels=labels)
3213 if notch is None:
3214 notch = rcParams['boxplot.notch']
/dataquest/system/env/python3/lib/python3.4/site-packages/matplotlib/cbook.py in boxplot_stats(X, whis, bootstrap, labels)
1978
1979 # convert X to a list of lists
-> 1980 X = _reshape_2D(X)
1981
1982 ncols = len(X)
/dataquest/system/env/python3/lib/python3.4/site-packages/matplotlib/cbook.py in _reshape_2D(X)
2226 # one item
2227 if len(X.shape) == 1:
-> 2228 if hasattr(X[0], 'shape'):
2229 X = list(X)
2230 else:
/dataquest/system/env/python3/lib/python3.4/site-packages/pandas/core/series.py in __getitem__(self, key)
621 key = com._apply_if_callable(key, self)
622 try:
--> 623 result = self.index.get_value(self, key)
624
625 if not is_scalar(result):
/dataquest/system/env/python3/lib/python3.4/site-packages/pandas/core/indexes/base.py in get_value(self, series, key)
2558 try:
2559 return self._engine.get_value(s, k,
-> 2560 tz=getattr(series.dtype, 'tz', None))
2561 except KeyError as e1:
2562 if len(self) > 0 and self.inferred_type in ['integer', 'boolean']:
pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_value()
pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_value()
pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.Int64HashTable.get_item()
pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.Int64HashTable.get_item()
KeyError: 0