August 2022
Intermediate to advanced
441 pages
11h 26m
Chinese
Content preview from Python文本分析
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16
｜
第
1
章
如果不指定参数，则
describe()
只会针对数值列计算总数、均值和标准差，以及
五数概括值（
https://oreil.ly/h2nrN
）。该数据框的
session
、
year
和
length
列包含
7507
个记录。统计
year
和
session
的均值和标准差并没有多大意义，但是最小值和
最大值依然很重要。如上所示，我们的数据集包含从
1970
～
2015
年、第
25
～
70
届联合国一般性辩论会议的发言。
如果想生成非数值列的汇总信息，则需要指定
include='O'
（
'O'
是
np.object
的别
名）。在这种情况下，我们还可以获得计数、唯一值的个数、出现次数最多的元素
（如果出现的次数相同，则显示其中一个元素）及其频率。由于对于文本数据而言，
唯一值的个数并没有用，所以我们只分析
country
和
speaker
列：
df[['country', 'speaker']].describe(include='O').T
输出结果：
A summary for nonnumerical columns can be produced by specifying include='O'
(the alias for np.object). In this case, we also get the count, the number of unique
values, the top-most element (or one of them if there are many with the same ...
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