https://stackoverflow.com/questions/51652269/tabula-py-cant-find-pdf-file

pip-freeze.sh

(venv) ➜  pdfminer-test pip freeze                                    
backports.shutil-get-terminal-size==1.0.0                             
certifi==2018.8.24                                                    
chardet==3.0.4                                                        
decorator==4.3.0                                                      
distro==1.3.0                                                         
enum34==1.1.6                                                         
idna==2.7                                                             
ipython==5.8.0                                                        
ipython-genutils==0.2.0                                               
numpy==1.15.1                                                         
pandas==0.23.4                                                        
pathlib2==2.3.2                                                       
pdfminer==20140328                                                    
pexpect==4.6.0                                                        
pickleshare==0.7.4                                                    
pkg-resources==0.0.0                                                  
prompt-toolkit==1.0.15                                                
ptyprocess==0.6.0                                                     
Pygments==2.2.0                                                       
pyPdf==1.13                                                           
python-dateutil==2.7.3                                                
python-magic==0.4.15                                                  
pytz==2018.5                                                          
requests==2.19.1                                                      
scandir==1.9.0                                                        
simplegeneric==0.8.1                                                  
six==1.11.0                                                           
tabula-py==1.2.0                                                      
traitlets==4.3.2                                                      
urllib3==1.23                                                         
wcwidth==0.1.7                                                        

test.py

In [1]: import magic

In [2]: from pyPdf import PdfFileReader

In [3]: import tabula

In [4]: filename = '/home/aki/source/tabula/10736.pdf'

In [5]: magic.from_file(filename, mime=True)
Out[5]: 'application/pdf'

In [6]: ifpdf = PdfFileReader(file(filename, "rb"))

In [7]: pdf_info = ifpdf.getDocumentInfo()

In [8]: pdf_info
Out[8]:
{'/Author': u'U.S. Census Bureau',
 '/CreationDate': u"D:20110818133834-04'00'",
 '/Creator': u'Adobe InDesign CS4 (6.0)',
 '/ModDate': u"D:20110830152334-04'00'",
 '/Producer': u'Adobe PDF Library 9.0',
 '/Title': u'Arrests by Sex and Age'}

In [9]: nm = ['Info_1', 'Info_2', 'Info_3', 'Info_4']

In [11]: df = tabula.read_pdf(filename, pages='all', lattice=True, pandas_options={'header': None, 'names': nm, 'encoding': 'utf-8'})
Sep 11, 2018 10:30:31 PM org.apache.pdfbox.pdmodel.graphics.color.PDDeviceRGB suggestKCMS
INFO: To get higher rendering speed on JDK8 or later,
Sep 11, 2018 10:30:31 PM org.apache.pdfbox.pdmodel.graphics.color.PDDeviceRGB suggestKCMS
INFO:   use the option -Dsun.java2d.cmm=sun.java2d.cmm.kcms.KcmsServiceProvider
Sep 11, 2018 10:30:31 PM org.apache.pdfbox.pdmodel.graphics.color.PDDeviceRGB suggestKCMS
INFO:   or call System.setProperty("sun.java2d.cmm", "sun.java2d.cmm.kcms.KcmsServiceProvider")

In [12]: df
Out[12]:
                                              Info_1                                             Info_2  Info_3  Info_4
0                                              Total                                               Male     NaN     NaN
1               Under 1818 years\rTotalyearsand over               Under 1818 years\rTotalyearsand over     NaN     NaN
2  11,062 .61,540 .09,522 .6\r467 .969 .1398 .8\r...  8,263 .31,071 .67,191 .7\r380 .256 .5323 .7\r9...     NaN     NaN
3                                              Total                                                NaN     NaN     NaN
4  10,690,561\r456,965\r9,739\r16,362\r100,496\r3...                                                NaN     NaN     NaN

In [13]: df.to_csv("test.csv", encoding="utf-8")

In [14]: !cat test.csv
,Info_1,Info_2,Info_3,Info_4
0,Total,Male,,
Totalyearsand over,,nder 1818 years
34.034.0(X)",,142.9 .31,071 .67,191 .7
3,Total,,,
73,616",,,561