画柱状图时，输入代码如下：
%matplotlib inline
from matplotlib.ticker import FuncFormatter
# Plot
fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 4), dpi=120, sharey=True)
# Topic Distribution by Dominant Topics
ax1.bar(x='Dominant_Topic', height='count', data=df_dominant_topic_in_each_doc, width=.5, color='firebrick')
ax1.set_xticks(range(df_dominant_topic_in_each_doc.Dominant_Topic.unique().__len__()))
tick_formatter = FuncFormatter(lambda x, pos: 'Topic ' + str(x)+ '\n' + df_top3words.loc[df_top3words.topic_id==x, 'words'].values[0])
ax1.xaxis.set_major_formatter(tick_formatter)
ax1.set_title('Number of Documents by Dominant Topic', fontdict=dict(size=10))
ax1.set_ylabel('Number of Documents')
ax1.set_ylim(0, 1000)
# Topic Distribution by Topic Weights
ax2.bar(x='index', height='count', data=df_topic_weightage_by_doc, width=.5, color='steelblue')
ax2.set_xticks(range(df_topic_weightage_by_doc.index.unique().__len__()))
ax2.xaxis.set_major_formatter(tick_formatter)
ax2.set_title('Number of Documents by Topic Weightage', fontdict=dict(size=10))
plt.show()
分行输入时，显示报错代码是它：
ax1.xaxis.set_major_formatter(tick_formatter)
报错代码如下：
IndexError Traceback (most recent call last)
D:\lib\site-packages\IPython\core\formatters.py in __call__(self, obj)
339 pass
340 else:
--> 341 return printer(obj)
342 # Finally look for special method names
343 method = get_real_method(obj, self.print_method)
D:\lib\site-packages\IPython\core\pylabtools.py in <lambda>(fig)
242
243 if 'png' in formats:
--> 244 png_formatter.for_type(Figure, lambda fig: print_figure(fig, 'png', **kwargs))
245 if 'retina' in formats or 'png2x' in formats:
246 png_formatter.for_type(Figure, lambda fig: retina_figure(fig, **kwargs))
D:\lib\site-packages\IPython\core\pylabtools.py in print_figure(fig, fmt, bbox_inches, **kwargs)
126
127 bytes_io = BytesIO()
--> 128 fig.canvas.print_figure(bytes_io, **kw)
129 data = bytes_io.getvalue()
130 if fmt == 'svg':
D:\lib\site-packages\matplotlib\backend_bases.py in print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, pad_inches, bbox_extra_artists, backend, **kwargs)
2228 else suppress())
2229 with ctx:
-> 2230 self.figure.draw(renderer)
2231
2232 if bbox_inches:
D:\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
72 @wraps(draw)
73 def draw_wrapper(artist, renderer, *args, **kwargs):
---> 74 result = draw(artist, renderer, *args, **kwargs)
75 if renderer._rasterizing:
76 renderer.stop_rasterizing()
D:\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
49 renderer.start_filter()
50
---> 51 return draw(artist, renderer, *args, **kwargs)
52 finally:
53 if artist.get_agg_filter() is not None:
D:\lib\site-packages\matplotlib\figure.py in draw(self, renderer)
2735
2736 self.patch.draw(renderer)
-> 2737 mimage._draw_list_compositing_images(
2738 renderer, self, artists, self.suppressComposite)
2739
D:\lib\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
130 if not_composite or not has_images:
131 for a in artists:
--> 132 a.draw(renderer)
133 else:
134 # Composite any adjacent images together
D:\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
49 renderer.start_filter()
50
---> 51 return draw(artist, renderer, *args, **kwargs)
52 finally:
53 if artist.get_agg_filter() is not None:
D:\lib\site-packages\matplotlib\_api\deprecation.py in wrapper(*inner_args, **inner_kwargs)
429 else deprecation_addendum,
430 **kwargs)
--> 431 return func(*inner_args, **inner_kwargs)
432
433 return wrapper
D:\lib\site-packages\matplotlib\axes\_base.py in draw(self, renderer, inframe)
2923 renderer.stop_rasterizing()
2924
-> 2925 mimage._draw_list_compositing_images(renderer, self, artists)
2926
2927 renderer.close_group('axes')
D:\lib\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
130 if not_composite or not has_images:
131 for a in artists:
--> 132 a.draw(renderer)
133 else:
134 # Composite any adjacent images together
D:\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
49 renderer.start_filter()
50
---> 51 return draw(artist, renderer, *args, **kwargs)
52 finally:
53 if artist.get_agg_filter() is not None:
D:\lib\site-packages\matplotlib\axis.py in draw(self, renderer, *args, **kwargs)
1128 renderer.open_group(__name__, gid=self.get_gid())
1129
-> 1130 ticks_to_draw = self._update_ticks()
1131 ticklabelBoxes, ticklabelBoxes2 = self._get_tick_bboxes(ticks_to_draw,
1132 renderer)
D:\lib\site-packages\matplotlib\axis.py in _update_ticks(self)
1016 """
1017 major_locs = self.get_majorticklocs()
-> 1018 major_labels = self.major.formatter.format_ticks(major_locs)
1019 major_ticks = self.get_major_ticks(len(major_locs))
1020 self.major.formatter.set_locs(major_locs)
D:\lib\site-packages\matplotlib\ticker.py in format_ticks(self, values)
261 """Return the tick labels for all the ticks at once."""
262 self.set_locs(values)
--> 263 return [self(value, i) for i, value in enumerate(values)]
264
265 def format_data(self, value):
D:\lib\site-packages\matplotlib\ticker.py in <listcomp>(.0)
261 """Return the tick labels for all the ticks at once."""
262 self.set_locs(values)
--> 263 return [self(value, i) for i, value in enumerate(values)]
264
265 def format_data(self, value):
D:\lib\site-packages\matplotlib\ticker.py in __call__(self, x, pos)
397 *x* and *pos* are passed through as-is.
398 """
--> 399 return self.func(x, pos)
400
401 def get_offset(self):
<ipython-input-40-3fd23decafbb> in <lambda>(x, pos)
7 ax1.bar(x='Dominant_Topic', height='count', data=df_dominant_topic_in_each_doc, width=.5, color='firebrick')
8 ax1.set_xticks(range(df_dominant_topic_in_each_doc.Dominant_Topic.unique().__len__()))
----> 9 tick_formatter = FuncFormatter(lambda x, pos: 'Topic ' + str(x)+ '\n' + df_top3words.loc[df_top3words.topic_id==x, 'words'].values[0])
10 ax1.xaxis.set_major_formatter(tick_formatter)
11 ax1.set_title('Number of Documents by Dominant Topic', fontdict=dict(size=10))
IndexError: index 0 is out of bounds for axis 0 with size 0
<Figure size 1200x480 with 2 Axes>
