我正在尝试使我的Twitter数据的散布图可视化
这是代码
from yellowbrick.text import DispersionPlot
text = combine['tweet']
target_words = ht_negative_unnest
visualizer = DispersionPlot(target_words)
visualizer.fit(text)
visualizer.poof()
我试图在ht_negative_unnest中存储的上述代码中传递这样的列表
['cnn',
'michigan',
'tcot',
'australia',
'opkillingbay']
引发的错误
YellowbrickValueError Traceback (most recent call last)
<ipython-input-114-d6a94f150164> in <module>
7 # Create the visualizer and draw the plot
8 visualizer = DispersionPlot(target_words)
----> 9 visualizer.fit(text)
10 visualizer.poof()
c:\users\hp\appdata\local\programs\python\python37\lib\site-packages\yellowbrick\text\dispersion.py in fit(self, X, y, **kwargs)
171 self.target = points_target[:,2]
172
--> 173 self._check_missing_words(points)
174
175 self.draw(points, self.target)
c:\users\hp\appdata\local\programs\python\python37\lib\site-packages\yellowbrick\text\dispersion.py in _check_missing_words(self, points)
119 "The indexed word '{}' is not found in "
120 "this corpus"
--> 121 ).format(self.indexed_words_[index]))
122
123 def fit(self, X, y=None, **kwargs):
YellowbrickValueError: The indexed word 'wso' is not found in this corpus
答案 0 :(得分:3)
我认为您的语料库中找不到all()
;只有1个}}。
您是否尝试过像['love']这样的目标单词?您仍然收到错误消息吗?