python文本可读性

可读性计算方法参考：
https://python.ctolib.com/cdimascio-py-readability-metrics.html
Python textstat包介绍（包括各种指标的计算公式）：
https://pypi.org/project/textstat/

The Flesch Reading Ease formula
Flesch-Kincaid Grade Level
The Fog Scale (Gunning FOG Formula)
The SMOG Index
Automated Readability Index
The Coleman-Liau Index
Linsear Write Formula
Dale-Chall Readability Score
本文选取FOG、ARI、CLI

安装包 textstat
pip install textstat

import pandas as pd
import textstat	

Idea=pd.read_csv(r"E:IdeasTest.csv" )
i=len(Idea)
print(i)

content=[]
for x in range(0,i):
    j=Idea['Ideas'][x]
    #print(j)
    ID=Idea['userid'][x]
    FOG=textstat.gunning_fog(j)
    ARI=textstat.automated_readability_index(j)
    CLI=textstat.coleman_liau_index(j)
    mean=(FOG+ARI+CLI)/3
    content.append([ID,FOG,ARI,CLI,mean])
    dd=pd.DataFrame(content,columns=['ID','FOG','ARI','CLI','mean'])
    dd.to_csv(r"E:readability.csv")