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‎Assignment-12.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## PyPDF2 MODULE:Reading text content from PDFs and crafting new PDFs from existing documents.PyPDF2 does not have a way to extract images, charts, or other media from PDF documents, but it can extract text and return it as a Python string."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"' A Simple PDF File This is a small demonstration .pdf file - just for use in the Virtual Mechanics tutorials. More text. And more text. And more text. And more text. And more text. And more text. And more text. And more text. And more text. And more text. And more text. Boring, zzzzz. And more text. And more text. And more text. And more text. And more text. And more text. And more text. And more text. And more text. And more text. And more text. And more text. And more text. And more text. And more text. And more text. Even more. Continued on page 2 ...'"
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]
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},
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"execution_count": 1,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"## we give file object executing open function.\n",
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"import PyPDF2 as pf\n",
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"pdfFileObj = open('Sample.pdf', 'rb')\n",
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"pdfReader = pf.PdfFileReader(pdfFileObj)\n",
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"page = pdfReader.getPage(0)\n",
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"page.extractText()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 'rb' for PdfFileReader() and 'wb' for PdfFileWriter() "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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"## If i want to read 5th page i need to give 4 as a getPage function() as paging starts from 0\n",
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"pdfFileReader = pdfReader.getPage(0)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"PyPDF2.pdf.PageObject"
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]
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"## It stores PageObject\n",
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"type(pdfFileReader)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"## If the pdf is encrypted with a password swordfish.I need to call decrypt function giving swordfish as parameter\n",
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"decrypt('swordfish')"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## To rotate page i will use rotateClockwise() and rotateCounterClockwise() functions giving integer values as degrees in arguments"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## DOCX Module:"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### The difference between Run object and paragraph object is paragraph can contain many bold Italic sentences and run objects are continuous words within a paragraph."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 22,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"5"
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]
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},
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"execution_count": 22,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"import docx\n",
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"doc = docx.Document('file-sample_100kB.docx')\n",
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"len(doc.paragraphs) "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 29,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"This is Title: DATASCIENCE \n",
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"This is 1st Paragraph: My name is AkashBorgalli I live in Mumbai.\n",
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"This is 2nd Paragraph: I am a MuleSoft Developer in Capgemini. \n"
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]
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}
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],
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"source": [
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"print(\"This is Title: \",doc.paragraphs[0].text)\n",
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"print(\"This is 1st Paragraph: \",doc.paragraphs[3].text)\n",
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"print(\"This is 2nd Paragraph: \",doc.paragraphs[4].text)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 24,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"9"
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]
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},
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"execution_count": 24,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"## There would be 129 runs happening in paragph 1 \n",
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"len(doc.paragraphs[3].runs)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 25,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'My name'"
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]
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},
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"execution_count": 25,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"##This word 'My name' is simple words\n",
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"doc.paragraphs[3].runs[0].text"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 28,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"is \n",
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"AkashBorgalli\n"
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]
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}
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],
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"source": [
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"print(doc.paragraphs[3].runs[2].text)\n",
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"print(doc.paragraphs[3].runs[3].text)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## I will use doc.paragraphs[]"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Run object has these bold,Italic and Outline variables"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"- True makes the Run object bold\n",
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"- False makes the Run object not bold, no matter what the style’s bold setting is.\n",
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"- None will make the Run object just use the style’s bold setting."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## I will call docx.Document() function"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"## adding paragraph\n",
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"doc.add_paragraph('Hello there!')"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## The integers 0, 1, 2, 3, and 4 where 0 is considered with Biggest Heading and 4 as Smallest."
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.5"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}

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