本文整理汇总了Python中nltk.probability.ConditionalFreqDist.plot方法的典型用法代码示例。如果您正苦于以下问题：Python ConditionalFreqDist.plot方法的具体用法？Python ConditionalFreqDist.plot怎么用？Python ConditionalFreqDist.plot使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类nltk.probability.ConditionalFreqDist的用法示例。
在下文中一共展示了ConditionalFreqDist.plot方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: ConditionalFreqDist
# 需要导入模块: from nltk.probability import ConditionalFreqDist [as 别名]
# 或者: from nltk.probability.ConditionalFreqDist import plot [as 别名]
from nltk.probability import ConditionalFreqDist
import matplotlib
% matplotlib inline
cfdist = ConditionalFreqDist()
for filename in os.listdir(corpus_path):
text = open(os.path.join(corpus_path, filename)).read()
#split text of file on 'end metadata'
text = text.split("<!--end metadata-->")
#parse metadata using previously defined function "parse_metadata"
metadata = parse_metadata(text[0])
#skip all speeches for which there is no exact date
if metadata['Date'][0] == 'c':
continue
#build a frequency distribution graph by year, that is, take the final bit of the 'Date' string after '/'
cfdist['count'][metadata['Date'].split('/')[-1]] += 1
cfdist.plot()
# <markdowncell>
# Now let's build another graph, but this time by the 'Description' field:
# <codecell>
cfdist2 = ConditionalFreqDist()
for filename in os.listdir(corpus_path):
text = open(os.path.join(corpus_path, filename)).read()
text = text.split("<!--end metadata-->")
metadata = parse_metadata(text[0])
if metadata['Date'][0] == 'c':
continue
cfdist2['count'][metadata['Description']] += 1
cfdist2.plot()