plt.figure(figsize = (12,7))
ax = sns.barplot(x = models,y = accuracy_list)
plt.xlabel("Classifiers",fontsize = 15)
plt.ylabel("Accuracy (%)", fontsize =15)
for p in ax.patches:
width = p.get_width()
height = p.get_height()
x= p.get_x()
y = p.get_y()
ax.annotate(f"{height} %",(x + width/2 , y + height*1.01),ha = "center")
plt.show()
while i’m runing the above code i got this error….
> plt.figure(figsize = (12,7))
ax = sns.barplot(x = models,y = accuracy_list)
plt.xlabel("Classifiers",fontsize = 15)
plt.ylabel("Accuracy (%)", fontsize =15)
for p in ax.patches:
width = p.get_width()
height = p.get_height()
x= p.get_x()
y = p.get_y()
ax.annotate(f"{height} %",(x + width/2 , y + height*1.01),ha = "center")
plt.show()
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
Cell In [50], line 2
1 plt.figure(figsize = (12,7))
----> 2 ax = sns.barplot(x = models,y = accuracy_list)
3 plt.xlabel("Classifiers",fontsize = 15)
4 plt.ylabel("Accuracy (%)", fontsize =15)
File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\seaborn\categorical.py:2755, in barplot(data, x, y, hue, order, hue_order, estimator, errorbar, n_boot, units, seed, orient, color, palette, saturation, width, errcolor, errwidth, capsize, dodge, ci, ax, **kwargs)
2752 if estimator is len:
2753 estimator = "size"
-> 2755 plotter = _BarPlotter(x, y, hue, data, order, hue_order,
2756 estimator, errorbar, n_boot, units, seed,
2757 orient, color, palette, saturation,
2758 width, errcolor, errwidth, capsize, dodge)
2760 if ax is None:
2761 ax = plt.gca()
File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\seaborn\categorical.py:1530, in _BarPlotter.__init__(self, x, y, hue, data, order, hue_order, estimator, errorbar, n_boot, units, seed, orient, color, palette, saturation, width, errcolor, errwidth, capsize, dodge)
1525 def __init__(self, x, y, hue, data, order, hue_order,
1526 estimator, errorbar, n_boot, units, seed,
1527 orient, color, palette, saturation, width,
1528 errcolor, errwidth, capsize, dodge):
1529 """Initialize the plotter."""
-> 1530 self.establish_variables(x, y, hue, data, orient,
1531 order, hue_order, units)
1532 self.establish_colors(color, palette, saturation)
1533 self.estimate_statistic(estimator, errorbar, n_boot, seed)
File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\seaborn\categorical.py:594, in _CategoricalPlotter.establish_variables(self, x, y, hue, data, orient, order, hue_order, units)
591 group_names = categorical_order(groups, order)
593 # Group the numeric data
--> 594 plot_data, value_label = self._group_longform(vals, groups,
595 group_names)
597 # Now handle the hue levels for nested ordering
598 if hue is None:
File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\seaborn\categorical.py:641, in _CategoricalPlotter._group_longform(self, vals, grouper, order)
638 vals = pd.Series(vals, index=index)
640 # Group the val data
--> 641 grouped_vals = vals.groupby(grouper)
642 out_data = []
643 for g i
n order:
File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\series.py:2076, in Series.groupby(self, by, axis, level, as_index, sort, group_keys, squeeze, observed, dropna)
2073 raise TypeError("You have to supply one of 'by' and 'level'")
2074 axis = self._get_axis_number(axis)
-> 2076 return SeriesGroupBy(
2077 obj=self,
2078 keys=by,
2079 axis=axis,
2080 level=level,
2081 as_index=as_index,
2082 sort=sort,
2083 group_keys=group_keys,
2084 squeeze=squeeze,
2085 observed=observed,
2086 dropna=dropna,
2087 )
File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\groupby\groupby.py:959, in GroupBy.__init__(self, obj, keys, axis, level, grouper, exclusions, selection, as_index, sort, group_keys, squeeze, observed, mutated, dropna)
956 if grouper is None:
957 from pandas.core.groupby.grouper import get_grouper
--> 959 grouper, exclusions, obj = get_grouper(
960 obj,
961 keys,
962 axis=axis,
963 level=level,
964 sort=sort,
965 observed=observed,
966 mutated=self.mutated,
967 dropna=self.dropna,
968 )
970 self.obj = obj
971 self.axis = obj._get_axis_number(axis)
File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\groupby\grouper.py:888, in get_grouper(obj, key, axis, level, sort, observed, mutated, validate, dropna)
886 in_axis, level, gpr = False, gpr, None
887 else:
--> 888 raise KeyError(gpr)
889 elif isinstance(gpr, Grouper) and gpr.key is not None:
890 # Add key to exclusions
891 exclusions.add(gpr.key)
KeyError: 'Logistic Regression'
<Figure size 1200x700 with 0 Axes>
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