思路:
第一步:适用python把需要导出的pdf文件单词导出到txt
第二步:把导出的txt导入到软件单词库,例如,金山词霸等软件内
第三步:熟练掌握以及删除单词库部分单词,达到对英文标准的单词记忆,方便理解专业信息。
以下代码演示如何将py当前目录下的Workspace子目录里的PDF里的英语单词提取出来。
python
import pdfplumber
import glob,os
WordDict = dict()
def isWord(word):
retVal = True
if len(word) < 5 or word.isidentifier() == False or word.isascii() == False:
retVal = False
else:
for c in word:
if c in ['0','1', '2', '3', '4', '5', '6', '7', '8', '9', '_']:
retVal = False
return retVal
#DIR=r"E:\GetEnglishDictionary"
DIR = os.getcwd() + "\\workspace\\"
temp=os.listdir(DIR)
Dirlist=[]
for i in temp:
if (i.find(".pdf"))!= -1:
Dirlist.append(i)
try:
# out
for dir in Dirlist:
print ("Analyse {} file".format(dir))
#file=glob.glob(os.path.join(DIR+"\\"+dir, "*.*"))
pdffile = DIR + "\\" + dir
wordDictFile = pdffile.replace(".pdf", "_dict") + ".txt"
dictFile = open(wordDictFile, 'w', encoding="utf-8")
with pdfplumber.open(pdffile) as pdf:
#for j in range(1, 2):
pageNum = len(pdf.pages)
progress = 0
now = 0
pageIndex = 0
for page in pdf.pages:
pageIndex = pageIndex + 1
progress = int(pageIndex * 100/ pageNum)
if progress >= now + 1:
print(pdffile + " : " + str(progress) + " %")
now = progress
# 读取PDF文档第i+1页
#page = pdf.pages[j]
# page.extract_text()函数即读取文本内容
txt = page.extract_text()
txt = txt.replace(',', ' ')
txt = txt.replace('\n', ' ')
#words = ''.join(txt.split('\n')[:-1])
#vols = str(words).split(' ')
vols = str(txt).split(' ')
for vol in vols:
if isWord(vol) == True:
#print(vol)
tst = WordDict.get(vol.capitalize())
if tst == None:
WordDict[vol.capitalize()] = vol
dictFile.write( vol + "\n")
#str(pageIndex) + " " +
##
dictFile.close()
print("共 " + str(pageNum) + " 页,提取单词:" + str(len(WordDict)) + " 个")
except Exception as e :
print(repr(e))
finally:
print("finish write")