Преобразование pdf в excel python

PDF — не самый удобный формат для передачи данных, но иногда возникает необходимость извлекать таблицы (или текст). Данный скрипт Python будет особенно полезен в случае, если вам необходимо периодически извлекать данные из однотипных PDF файлов.

Начнём с импорта библиотек, которые мы будем использовать — Pandas (для записи таблиц в CSV/Excel). Непосредственно работать с PDF файлами мы будем с помощью библиотеки tabula. (установка — cmd -> «pip install tabula-py« ; также для работы необходимо установить Java (https://www.java.com/en/download/)) 

import tabula
import pandas as pd

Задаём путь к файлу в формате PDF, из которого необходимо извлечь табличные данные:

pdf_in = "D:/Folder/File.pdf"

Извлекаем все таблицы из файла в переменную PDF в виде вложенных списков.

PDF = tabula.read_pdf(pdf_in, pages='all', multiple_tables=True)

pages=’all’ и multiple_tables=True — необязательные параметры

Далее прописываем пути к Excel/CSV файлам, которые мы хотим получить на выходе:

pdf_out_xlsx = "D:TempFrom_PDF.xlsx"
pdf_out_csv = "D:TempFrom_PDF.csv"

Для сохранения в .xlsx мы создаем датафрейм pandas из нашего вложенного списка и используем pandas.DataFrame.to_excel :

PDF = pd.DataFrame(PDF)
PDF.to_excel(pdf_out_xlsx,index=False) 

Для сохранения в CSV  мы можем использовать convert_into из tabula.

tabula.convert_into (input_PDF, pdf_out_csv, pages='all',multiple_tables=True)
print("Done")

Скрипт целиком:

# Script to export tables from PDF files
# Requirements:
# Pandas (cmd --> pip install pandas)
# Java   (https://www.java.com/en/download/)
# Tabula (cmd --> pip install tabula-py)
# openpyxl (cmd --> pip install openpyxl) to export to Excel from pandas dataframe

import tabula
import pandas as pd

# Path to input PDF file
pdf_in = "D:/Folder/File.pdf" #Path to PDF

# pages and multiple_tables are optional attributes
# outputs df as list
PDF = tabula.read_pdf(pdf_in, pages='all', multiple_tables=True)

#View result
print ('nTables from PDF filen'+str(PDF))

#CSV and Excel save paths
pdf_out_xlsx = "D:TempFrom_PDF.xlsx"
pdf_out_csv = "D:TempFrom_PDF.csv"

# to Excel
PDF = pd.DataFrame(PDF)
PDF.to_excel(pdf_out_xlsx,index=False) 

# to CSV
tabula.convert_into (input_PDF, pdf_out_csv, pages='all',multiple_tables=True)
print("Done")

Python has a large set of libraries for handling different types of operations. Through this article, we will see how to convert a pdf file to an Excel file. There are various packages are available in python to convert pdf to CSV but we will use the Tabula-py module. The major part of tabula-py is written in Java that reads the pdf document and converts the python DataFrame into a JSON object.

In order to work with tabula-py, we must have java preinstalled in our system. Now, to convert the pdf file to csv we will follow the steps-

• First, install the required package by typing pip install tabula-py in the command shell.

• Now read the file using read_pdf(«file location», pages=number) function. This will return the DataFrame.

• Convert the DataFrame into an Excel file using tabula.convert_into(‘pdf-filename’, ‘name_this_file.csv’,output_format= «csv», pages= «all»). It generally exports the pdf file into an excel file

Example

In this example, we have used IPL Match Schedule Document to convert it into an excel file.

# Import the required Module
import tabula
# Read a PDF File
df = tabula.read_pdf("IPLmatch.pdf", pages='all')[0]
# convert PDF into CSV
tabula.convert_into("IPLmatch.pdf", "iplmatch.csv", output_format="csv", pages='all')
print(df)

Output

Running the above code will convert the pdf file into an excel (csv) file.

Updated February 2019

You can convert your PDF to Excel, CSV, XML or HTML with Python using the PDFTables API. Our API will enable you to convert PDFs without uploading each one manually.

In this tutorial, I’ll be showing you how to get the library set up on your local machine and then use it to convert PDF to Excel, with Python.

Here’s an example of a PDF that I’ve converted with the library. In order to properly test the library, make sure you have a PDF handy!

Step 1

If you haven’t already, install Anaconda on your machine from Anaconda website. You can use either Python 3.6.x or 2.7.x, as the PDFTables API works with both. Downloading Anaconda means that pip will also be installed. Pip gives a simple way to install the PDFTables API Python package.

For this tutorial, I’ll be using the Windows Python IDLE Shell, but the instructions are almost identical for Linux and Mac.

Step 2

In your terminal/command line, install the PDFTables Python library with:

pip install git+https://github.com/pdftables/python-pdftables-api.git

If git is not recognised, download it here. Then, run the above command again.

Or if you’d prefer to install it manually, you can download it from python-pdftables-api then install it with:

python setup.py install

Step 3

Create a new Python script then add the following code:

import pdftables_api

c = pdftables_api.Client('my-api-key')
c.xlsx('input.pdf', 'output') 
#replace c.xlsx with c.csv to convert to CSV
#replace c.xlsx with c.xml to convert to XML
#replace c.xlsx with c.html to convert to HTML

Now, you’ll need to make the following changes to the script:

• Replace my-api-key with your PDFTables API key, which you can get here.
• Replace input.pdf with the PDF you would like to convert.
• Replace output with the name you’d like to give the converted document.

Now, save your finished script as convert-pdf.py in the same directory as the PDF document you’d like to convert.

If you don’t understand the script above, see the script overview section.

Step 4

Open your command line/terminal and change your directory (e.g. cd C:/Users/Bob) to the folder you saved your convert-pdf.py script and PDF in, then run the following command:

python convert-pdf.py

To find your converted spreadsheet, navigate to the folder in your file explorer and hey presto, you’ve converted a PDF to Excel or CSV with Python!

Script overview

The first line is simply importing the PDFTables API toolset, so that Python knows what to do when certain actions are called. The second
line is calling the PDFTables API with your unique API key. This means here at PDFTables we know which account is using the API and how many
PDF pages are available. Finally, the third line is telling Python to convert the file with name input.pdf to xlsx and also what
you would like it to be called upon output: output. To convert to CSV, XML or HTML simply change c.xlsx to be c.csv,
c.xml or c.htmlrespectively.

Looking to convert multiple PDF files at once?

Check out our blog post here.

Love PDFTables? Leave us a review on our Trustpilot page!

In this article we will see how to quickly extract a table from a PDF to Excel.

For this tutorial you will need two Python libraries :

• tabula-py
• pandas

To install them, go to your terminal/shell and type these lines of code:

pip install tabula-py
pip install pandas

If you use Google Colab, you can install these libraries directly on it. You just have to add an exclamation mark “!” in front of it, like this:

!pip install tabula-py
!pip install pandas

[smartslider3 slider=”10″]

Photo by Aurelien Romain on Unsplash

PDF to Excel (one table only)

First we load the libraries into our text editor :

import tabula
import pandas as pd

Then, we will read the pdf with the read_pdf() function of the tabula library.

This function automatically detects the tables in a pdf and converts them into DataFrames. Ideal for converting them into Excel files!

df = tabula.read_pdf('file_path/file.pdf', pages = 'all')[0]

We can then check that the table has the expected shape.

df.head()

Then convert it to an Excel file !

df.to_excel('file_path/file.xlsx')

The entire code :

import tabula import pandas as pd
df = tabula.read_pdf('file_path/file.pdf', pages = 'all')[0]
df.to_excel('file_path/file.xlsx')

PDF containing several tables

We load the libraries in our text editor :

import tabula
import pandas as pd

Then, we will read the pdf with the read_pdf() function of the tabula library.

This function automatically detects the tables in a pdf and converts them into DataFrames. Ideal to convert them then in Excel file !

Here, the variable df will be in fact a list of DataFrame. The first element corresponds to the first table, the second to the second table, etc.

df = tabula.read_pdf('file_path/file.pdf', pages = 'all')

To save these tables separately, you will have to use a for loop that will save each table in an Excel file.

for i in range(len(df)):
 df[i].to_excel('file_'+str(i)+'.xlsx')

The entire code :

import tabula
import pandas as pd
df = tabula.read_pdf('file_path/file.pdf', pages = 'all')

for i in range(len(df)):
 df[i].to_excel('file_'+str(i)+'.xlsx')

sources:

•  Medium
• Photo by Birger Strahl on Unsplash