def convert2csv():
tabula.convert_into_by_batch(pdf_dir, lattice=True, output_format='csv', pages='all')
progress = 40
p_var.set(progress)
progress_bar.update()
def convert_to_csv(
): # converts seperated drawings' BOM's to csv format --note: 'area' may need to be manipulated using tabula-java to define BOM list on drawing
print("Converting PDFs into readable format...")
tabula.convert_into_by_batch("drawings_separated",
output_format="csv",
lattice=True,
area=(57.88, 1154.442, 788.22, 1674.309))
print("Done.")
def convert_to_csv(
): # converts seperated drawings' BOM's to csv format --note: 'area' may need to be manipulated using tabula-java to define BOM list on drawing
print("Converting PDFs into readable format...")
tabula.convert_into_by_batch("drawings",
output_format="csv",
stream=True,
area=[22.185, 933.3, 582.165, 1187.28],
guess=False)
print("Done.")
def test_convert_into_by_batch(self):
pdf_path = 'tests/resources/data.pdf'
expected_csv = 'tests/resources/data_1.csv'
temp_dir = tempfile.mkdtemp()
temp_pdf = temp_dir + '/data.pdf'
converted_csv = temp_dir + '/data.csv'
shutil.copyfile(pdf_path, temp_pdf)
try:
tabula.convert_into_by_batch(temp_dir, output_format='csv')
self.assertTrue(filecmp.cmp(converted_csv, expected_csv))
finally:
shutil.rmtree(temp_dir)
def test_convert_into_by_batch(self):
pdf_path = 'tests/resources/data.pdf'
expected_csv = 'tests/resources/data_1.csv'
temp_dir = tempfile.mkdtemp()
temp_pdf = temp_dir + '/data.pdf'
converted_csv = temp_dir + '/data.csv'
shutil.copyfile(pdf_path, temp_pdf)
try:
tabula.convert_into_by_batch(temp_dir, output_format='csv')
self.assertTrue(filecmp.cmp(converted_csv, expected_csv))
finally:
shutil.rmtree(temp_dir)
def test_convert_into_by_batch(self):
temp_dir = tempfile.mkdtemp()
temp_pdf = temp_dir + "/data.pdf"
converted_csv = temp_dir + "/data.csv"
shutil.copyfile(self.pdf_path, temp_pdf)
try:
tabula.convert_into_by_batch(temp_dir,
output_format="csv",
stream=True)
self.assertTrue(filecmp.cmp(converted_csv, self.expected_csv1))
finally:
shutil.rmtree(temp_dir)
def download_dataset():
for x in id_num:
name = x.strip('\n')
print(name)
link = url + name
myfile = req.get(link, allow_redirects=True)
open('pdf-downloads/output.pdf', 'wb').write(myfile.content)
os.rename(r'pdf-downloads/output.pdf',
r'pdf-downloads/output-' + str(name) + '.pdf')
print("Download complete!")
else:
#Convert PDF to CSV
tabula.convert_into_by_batch("pdf-downloads", output_format='csv')
print("Converting complete!")
id_num.close()
def read_budgets(directory):
#budgets = []
for filename in os.listdir(directory):
budget_tables = tabula.read_pdf(f"{directory}/{filename}",
multiple_tables=True,
pages='all')
print('skk')
return tabula.convert_into_by_batch('/Users/louispuyo/PGT-DATA/src',
output_format='csv',
pages='all')
def read_budgets(directory):
#budgets = []
'''
for filename in os.listdir(directory):
budget_tables = tabula.read_pdf(
f"{directory}/{filename}",
multiple_tables=True,
pages='all'
)
'''
return tabula.convert_into_by_batch(directory,
output_format='csv',
pages='all')
import tabula
# Read pdf into list of DataFrame
df = tabula.read_pdf("1900-028-TNA-p1965-12-c1-OCR.pdf", pages='all')
# convert PDF into CSV file
tabula.convert_into("1900-028-TNA-p1965-12-c1-OCR.pdf",
"output.csv",
output_format="csv",
pages='all')
# convert all PDFs in a directory
tabula.convert_into_by_batch(".", output_format='csv', pages='all')
import pandas as pd
import matplotlib.pyplot as plt
from pydataset import data
import seaborn as sns
#pip install tabula-py
from tabula import read_pdf
read_pdf?
df = read_pdf('data/mtcarsPDF.pdf', pages='all')
df
read_pdf('data/mtcarsPDF.pdf', output_format='json', pages='all')
from tabula import convert_into, convert_into_by_batch
convert_into('data/mtcarsPDF.pdf', 'mtcarsPDFCSV.csv', output_format='csv', pages=1)
convert_into_by_batch('data', output_format='csv', pages='all')
#%%% not working
#pip install camelot-py[cv]
#pip install ghostscript
import camelot
import ghostscript
#https://www.ghostscript.com/download/gsdnld.html
camelot.read_pdf?
tables = camelot.read_pdf(filepath='data/mtcarsPDF.pdf', pages='1')
tables #no tables imported
#Please make sure that Ghostscript is installed
tables.n
tables[0].df
import tabula
# Read pdf into list of DataFrame
df = tabula.read_pdf("test.pdf", pages='all')
# Read remote pdf into list of DataFrame
df2 = tabula.read_pdf(
"https://github.com/tabulapdf/tabula-java/raw/master/src/test/resources/technology/tabula/arabic.pdf"
)
# convert PDF into CSV file
tabula.convert_into("test.pdf", "output.csv", output_format="csv", pages='all')
# convert all PDFs in a directory
tabula.convert_into_by_batch("input_directory",
output_format='csv',
pages='all')
def batch_transform(data_dir, debug):
tabula.convert_into_by_batch(data_dir, output_format='csv', pages='all')
import tabula
# Get list of PDF in folder
import os
from os import listdir
from os.path import isfile, join
dir = r"C:\Users\g38f293\Dropbox\RA folder\raw_data\IHS\PDFV2/searchable_pdf_pages"
os.chdir(dir)
#This command will turn all searchable pdfs made in "pdf_to_text.py" into datasets
#NOTE: stream option means no lines are in the tables, guess = false makes stream work, area was found in tabula.io this cuts
# off the top line that messes up the columns
tabula.convert_into_by_batch(dir,
output_format="csv",
pages="all",
stream=True,
guess=False,
area=[540.964, 7.071, 4366.605, 5650.069])
# stream=True,
# area=(10, 0, 100, 100), relative_area=True,
# output_format="csv")
# Convert all pdfs in one directory into .csv
# # All of California
# tabula.convert_into_by_batch("source/all_CA",
# pages="all",
# stream=True,
# area=(10, 0, 100, 100), relative_area=True,
# output_format="csv")
# For each of the fisheries areas
tabula.convert_into_by_batch("source/areas/Bodega Bay",
pages="all",
stream=True,
area=(10, 0, 100, 100), relative_area=True,
output_format="csv")
tabula.convert_into_by_batch("source/areas/Eureka",
pages="all",
stream=True,
area=(10, 0, 100, 100), relative_area=True,
output_format="csv")
tabula.convert_into_by_batch("source/areas/Fort Bragg",
pages="all",
stream=True,
area=(10, 0, 100, 100), relative_area=True,
output_format="csv")
import tabula
from os import listdir
from PyPDF2 import PdfFileWriter, PdfFileReader
tabula.convert_into_by_batch('drawings_seperated',
output_format="csv",
lattice=True,
pages='all',
area=(57.88, 1154.442, 788.22, 1674.309))
import pandas as pd
import tabula
import os, glob
path = r'D:\RnE\combine_excel\test_pdf' # pdf에서 csv로 바꿀 디렉토리 위치 입력
# 디렉토리 내에 있는 pdf를 csv로 바꿈
tabula.convert_into_by_batch(path,
lattice=True,
output_format='csv',
pages='all')
from tabula import read_pdf
import tabula
import pandas as pd
# paths
pdf_path = "/Users/takayuki/Document/career/nagoyaU/corona/報道発表_pdf/4月/20200401.pdf"
directory_path = "/Users/takayuki/Document/career/nagoyaU/corona/報道発表_pdf/6月"
template_path = "/Users/takayuki/Document/career/nagoyaU/corona/tabula-template.json"
# Read pdf into DataFrame
# df = tabula.io.read_pdf(pdf_path, output_format="dataframe", pages=1, lattice=True, encoding="utf-8")
# df = tabula.io.read_pdf_with_template(pdf_path, template_path, output_format="dataframe", pages=1, lattice=True, encoding="utf-8")
# print(df)
# df.to_csv("output.csv", encoding='utf-8')
# convert PDF into CSV
# tabula.convert_into(pdf_path, "output2.csv", output_format="csv", lattice=True, pages=1)
# tabula.convert_into(pdf_path, "test.csv", output_format="csv", pages=1, lattice=True)
# # convert all PDFs in a directory
tabula.convert_into_by_batch(directory_path,
output_format='csv',
lattice=True,
pages=1,
java_options="-Dfile.encoding=shiftjis")
import tabula df = '/home/andre/projetos/pdf/' output = '/home/andre/projetos/pdf/2017.csv' ##tabula.convert_into(df, output, output_format="csv", pages="all") tabula.convert_into_by_batch(df, output_format="csv", pages="all")
def convert():
print(
'Batching with tabula. This takes literally like half an hour on my laptop'
)
tabula.convert_into_by_batch(inputDir, output_format='csv', pages='all')
def wholedir(dir_path, frt, p):
tabula.convert_into_by_batch(input_dir=dir_path,
output_format=frt,
pages=p)
import tabula
file = "http://lab.fs.uni-lj.si/lasin/wp/IMIT_files/neural/doc/seminar8.pdf"
tables = tabula.read_pdf(file, pages = "all", multiple_tables = True)
# output just the first table in the PDF to a CSV
tabula.convert_into(file, "iris_first_table.csv")
# output all the tables in the PDF to a CSV
tabula.convert_into(file, "iris_all.csv", all = True)
tabula.convert_into_by_batch("/path/to/files", output_format = "csv", pages = "all")
def convert_pdffiles_to_csv(settings):
print("Converting pdf files to csv...")
for f in folders:
tabula.convert_into_by_batch(f"{settings['out_folder']}/{f}", output_format="csv", pages="all") # java_options=["java.awt.headless=true"])
print("pdf files converted to csv")
