Python Word Document Parser

Words supports DOC, OOXML, RTF, HTML, OpenDocument, PDF and other formats. Configuration file parser in Python (configparser) Python Programming Server Side Programming The configparser module from Python's standard library defines functionality for reading and writing configuration files as used by Microsoft Windows OS. R package providing a set of fast tools for converting a textual corpus into a set of normalized tables. Indentation of program statements is critical to the readability of code. (4 replies) Hi all, I'm currently using antiword to extract content from MS Word files. Packages are namespaces which contain multiple packages and modules themselves. Uma Introdução Informal a Python >>> word etc. The program then loads the file for parsing, parses it and then you can use it. Python Left-Right Parser (pyleri) is part of a family of similar parser generators for JavaScript, Python, C, Go and Java. As the developer of a Python script you decide which arguments are valid, and what they stand for, actually. Since a lot of the information I was finding on Microsoft Word and Python was old and crusty and didn't seem to work half the time, I don't add to the mess of bad information. To avoid confusion, in the examples below I'll be forcing Beautiful Soup to use Python's built-in parser. Text parsing is a common programming task that splits the given sequence of characters or values (text) into smaller parts based on some rules. doc files to. So what you need to do is take your sequence of characters and split it into words. py install BeautifulSoup Usage Right after the installation you can start using BeautifulSoup. Here How to Convert Word to Vector with GloVe and Python you will find how to convert word to vector with GloVe – Global Vectors for Word Representation. The basic structure of a pdf parsed this way will always be page tags. codepad is an online compiler/interpreter, and a simple collaboration tool. for all of the above libraries. I would consider providing a usage statement that explains how to invoke the application in a clear, concise manner. Right mouse click on your document and select rename to fixme. You can vote up the examples you like or vote down the ones you don't like. Since it’s easier to customize the StreamListener methods in Python, I prefer to use it over other R. NET C# Visual Studio. The parse Method. Parse a JSON File You're really not going to need to parse JSON from within a Python program. Here we'll review JSON parsing in Python so that you can get to the interesting data faster. It has traditional dom and sax parsers. request import urllib. Not only this but Apple also uses XML for their implementation of registry. For that open terminal & type pip install pypdf. XML Processing With Perl, Python, And PHP - Free ebook download as PDF File (. This requires proper evaluation. Use Python to parse Microsoft Word documents using PyWin32 Library Completeaza chestionare auto drpciv 2014 categoria B, C, E, A, D si treci examenul auto cu aceste teste drpciv online- chestionare auto Chestionare auto si teste explicate pentru categoria B. Python doesn't know anything about words - it knows about strings which is just sequences of characters. JSON is a text format that is completely language independent but uses conventions that are familiar to programmers of the C-family of languages, including C, C++, C#, Java, JavaScript, Perl, Python, and many others. The plot below shows how characters are laid out for a large table in a PDF file. Handling command line arguments with Python. The oldest one is the sys module. It works both with documents which use Word styles, and. Once it has a Word document it attempts to parse it and look for tables. 3-1) library for communicating with KeepKey Hardware Wallet python. It loops and displays the original data and the extracted values. PDFMiner allows one to obtain the exact location of text in a page, as well as other information such as fonts or lines. 使用python把pdf转换为word然后替换word中的文字内容摘要:这篇文章介绍了如何使用python【3. a tuple of strings, or a frozen set) not just strings. Save the Word document as HTML from within Word. In addition to ZJR's suggestion of mimicking a man page, you can also provide a usage statement, return codes, and in-code documentation. docx format. REST APIs are pretty much everywhere. Would I be able to take a peak at your source code? And/or a screen shot of the document you were changing? I want to know if it's a similar style. I would like to add up PDFMiner and Slate to the queue PDFMiner PDFMiner is a tool for extracting information from PDF documents. docs, or you could use an existing word parser such as the one in OpenOffice. Here in the following examples we will be parsing a word document by reading its different paragraph, runs, images, tables along with headers and footers. chadwickcheney opened this issue Nov 28, 2017 · 2 comments Here is the full python I am using and a test. LXML is a nice little document parser for lightweight and effective HTML/XML parsing without using regular expressions. Python is a powerful multi-purpose programming language created by Guido van Rossum. Detailed example is shown how to use pretrained GloVe data file that can be downloaded. py — Just use a python module to define all the config you need, and use importlib. If you want to extract the text content of a Word file there are a few solutions to do this in Python. Parsing Microsoft Word Document using C# ASP. Example: links -dump mydoc. Content: What we are going to do is to create a Python script that creates a blank Word document, then it will collect all the images in the same folder to put into the word document. Task : Open a ms-word 2007+ document with a single line of text in it (to keep things simple) and replace any “key” word in Dictionary that occurs in that line of text with its dictionary value. Unfortunately most of these solutions have dependencies or need to run an external command in a subprocess or are heavy/complex, using an office suite, etc. [code]import win32com. In most cases, you will need to include the full path to the template but for simplicity, I am assuming it is in the same directory as your python scripts:. This requires proper evaluation. 1) Python library for accessing Gallery web installations python-galpy (1. To use the Python client library, you'll need Python 2. The simple_html_dom module is an alternative to the built-in-DOM module. Hope this helps!!. This will convert the HTML into plain text. Web sites are written using HTML, which means that each web page is a structured document. For prior versions, add an option for strings and perhaps numbers, and document that some tests will fail if enabled. Parsing Windows event log files (. There should be one invitation per page in the resulting Word document, so call add_break() to add a page break after the last paragraph of each invitation. A web app is a bit out of my league at the moment as I've mostly programmed with PyQt4/Python/parsing kind of stuff so the web side of Python hasn't been touched at all. It give you an easy way to pass from raw mail to Python object that you can use in your code. Unlike other PDF-related tools, it focuses entirely on getting and analyzing text data. Python实现PDF转Word文档 2018年7月12日 10:52:29 发表评论 1,879 views 本文最后更新于2018年7月12日,已超过 1 年没有更新,如果文章内容或图片资源失效,请留言反馈,我们会及时处理,谢谢!. To use the Python client library, you'll need Python 2. Another suggestion -- The Web browser `links` formats tables. That’s very helpful for scraping web pages, but in Python it might take a little more work. 5-1) urllib keepalive support for Python 2 python-keepkey (0. Slightly faster access as SeqRecord objects (but the difference is only really noticeable for simple to parse file formats). He was given two hours. The term parsing comes from Latin pars (orationis), meaning part (of speech). Detailed example is shown how to use pretrained GloVe data file that can be downloaded. A terrific solution for businesses that need to handle conversions of files up to 1 TB in size, Parse-O-Matic Business adds binary command support, ability for automation as a scheduled task or command-line. php on line 143 Deprecated: Function create_function() is. Python XML Parsing Python XML Parsing - We shall learn to parse xml documents in python programming language. pdf) or read book online for free. The constructor takes two parameters: op, which represents the unary operator token (plus or minus) and expr, which represents an AST node. Python has a lot of libraries for PDF extract,many of them have been discussed below. Python is a high-level general purpose programming language: Because code is automatically compiled to byte code and executed, Python is suitable for use as a scripting language, Web application implementation language, etc. Data can be extracted from the document during the parsing phase by iterating over the event stream, which is convenient if it is not necessary to manipulate the entire document afterwards and there is no need to hold the entire parsed document in memory. Automate your Paperwork with Latex and Python (Part 2 - Jinja + Argparse) Latex Python Workflow Productivity It has been a while since the first part of this post. LyX combines the power and flexibility of TeX/LaTeX with the ease of use of a graphical interface. textract-python-table-parser. They are extracted from open source Python projects. X as well as Python 2. The MediaWiki software is used by tens of thousands of websites and thousands of companies and organizations. For example, it will go through the different paragraphs in a document but drops the styling (like bold and italics). # Connect the parser and document objects. I want to go through each word document and try to extract some relevant information and fill a spreadsheet. Azure takes care of all the dependent libraries of the Python and even installed the popular libraries like scikit, Numpy etc. If a Xml document references an external entity in its DTD, and if this Xml document is loaded into memory through an URL, then the parser won't resolve the correct URI to locate the external file that contains the external entity. To do word segmentation within the parser, give one of the options -segmentMarkov or -segmentMaxMatch. Selectolax is not limited to only one use case and supports CSS selectors as well as other HTML traversing. Import XML-related packages. docx) files. Requires Windows XP Textpad 5. Python Network Programming : Table of Contents Running a Parser 3-6 HTML Example 3-7 Role of Python 4-12 Typical Python Tasks 4-13. I understand the basics of it but i need to parse a word document and then search for particular strings in it. I have been trying to use docx but it will not import into my program. py and resume_identifier. org 3, and Apple iWork 08中打开。. In this Python XML Parser Tutorial, we will study what is Python XML Processing. I wrote selectolax half a year ago when I was looking for fast HTML parsers in Python. Microsoft Office. We shall go through enough example for the following libraries ElementTree cElementTree minidom objectify We shall look into examples to parse the xml file, extract attributes, extract elements, etc. Handling command line arguments with Python. I have tested this code for a few files of same format. The basic structure of a pdf parsed this way will always be page tags. The term parsing comes from Latin pars (orationis), meaning part (of speech). A Python script to backup the TextPad 5 settings (registry and syn files) on Windows XP. For example, lets say you are writing a simulator and you need an easy, human way to define parts about a given world like light sources, obstacles, and dimensions. Release v0. stdin input() built-in function fileinput. We attempt making necessary imports easy to reach, base will include general Spark NLP transformers and concepts, while annotator will include all annotators that we currently provide. Data classes and parser implementations for "chart parsers", which use dynamic programming to efficiently parse a text. pl) implementation as reasonably as possible (see. docx) files. So, In this Blog Post, We will see how to create an XML document and parse XML Document using python. Parse a JSON File You're really not going to need to parse JSON from within a Python program. Actually, it only lets you make changes to existing documents; it's just that if you start with a document that doesn't have any content, it might feel at first like you're creating one from scratch. I would like to add up PDFMiner and Slate to the queue PDFMiner PDFMiner is a tool for extracting information from PDF documents. NLP plays a critical role in many intelligent applications such as automated chat bots, article summarizers, multi-lingual translation and opinion identification from data. XML Document. The word Postmoretem is used in several context. So I made this module, which reads and writes Microsoft Office Word 2007 docx files. Even though it is called a document, it is more similar to an image format that does not have as much structure to it as for example XML, HTML, or EPUB for that matter. and manipulating CSS styles from HTML document. # Connect the parser and document objects. In the below code, I have configured the CountVectorizer to consider words that has occurred at least 10 times ( min_df ), remove built-in english stopwords, convert all words to lowercase, and a word can contain numbers. ArgumentParser instance that the action was taken by. Pennebaker at the University of Texas does research into how your usage of pronouns in your emails varies depending on how you perceive the recipient. NET C# Visual Studio. Using a text editor of your choice, create a new Python file and call it word_freq. In short, it turns a XML file into DOM or Tree structure, and you have to. Interactions with the whole document (reading and writing to/from files) are usually done on the ElementTree level. This word document tool is used in many areas and some of them are given below: You can create all types of official documents in Microsoft Word. Moreover, we will study the Python XML Parser Architecture and API and Python XML FIle. It is based on my olefile parser. XML: XML stands for eXtensible Markup Language. So in this post, we’re going to write a brief but robust HTML table parser. Place both the python executable files keywords_generator. This improvement does not apply to internal uses of jQuery. What can this tool do? Choose from the following 5 JSON conversions offered by this tool: CSV to JSON - array of JSON structures matching your CSV plus JSONLines (MongoDB) mode. Word to XML and Back Again. Python实现PDF转Word文档 2018年7月12日 10:52:29 发表评论 1,879 views 本文最后更新于2018年7月12日,已超过 1 年没有更新,如果文章内容或图片资源失效,请留言反馈,我们会及时处理,谢谢!. client library as shown in the following code. It describes how we, a team of three students in the RaRe Incubator programme, have experimented with existing algorithms and Python tools in this domain. Ofx file format parser for Python. Uma Introdução Informal a Python >>> word etc. Explanation: We first import the configparser, tell it to read the file, and get a listing of the sections. (Changelog)TextBlob is a Python (2 and 3) library for processing textual data. There are three sibling span tags without any class or I'd. So, In this Blog Post, We will see how to create an XML document and parse XML Document using python. That’s very helpful for scraping web pages, but in Python it might take a little more work. If it does not happen there, file a bug in the argparse package issue tracker. The markup used for the Python documentation is reStructuredText, developed by the docutils project, amended by custom directives and using a toolset named Sphinx to post-process the HTML output. walk function, we can access every subdirectory in a tree with a simple for statement, without recursion. The parse Method. doc file with a script in python. I have tested this code for a few files of same format. 使用python把pdf转换为word然后替换word中的文字内容摘要:这篇文章介绍了如何使用python【3. That’s why, the design goals of. List of libraries installed in Azure listed down in this blog. In this example, we will show you how to read an XML file and print out its values, via Python xml. The files currently store records separated by newline characters with fields separated by tabs. This module attempts to be forgiving with regards to unlikely input formats, returning a datetime object even for dates which are ambiguous. TextBlob: Simplified Text Processing¶. client as win32 word = win32. Handling command line arguments with Python. To avoid confusion, in the examples below I'll be forcing Beautiful Soup to use Python's built-in parser. One of the primary reasons people use Python is for analyzing and manipulating text. Read a JSON file from a path and parse it. At this stage in the tutorial, I would recommend parsing this data using the parser in R from the last section of the Twitter tutorial or creating your own. So, let's start Python XML Parser Tutorial. python-xbrl is a library for parsing xbrl documents providing output as both a basic model object and serialized objects thur marshmallow for rendering into standards formats like JSON or HTTP API. NOTE: Some people think that MiniDOM is a slow and very memory hungry DOM implementation. 1) - Python WhAtever Parser is a python markup converter from xml, json, yaml and ini to python dictionary. Task : Open a ms-word 2007+ document with a single line of text in it (to keep things simple) and replace any “key” word in Dictionary that occurs in that line of text with its dictionary value. Last year, I had to grade about 50 word documents by following a grading scheme. The argparse module was added to Python 2. Parsing Windows event log files (. It allows also conversion between markup languages. How to Parse XML Data with Python From URL May 31, 2016 May 23, 2016 allison Programming , Python I wrote a Python script to pull data from every board game on BoardGameGeek and put it into a SQLite database. 1-1) Robot OS kdl_parser library - Python python-kdtree (0. In this Python XML Parser Tutorial, we will study what is Python XML Processing. @return Set of Strings, one for each word in fSearchText; here "word" is defined as either a lone word surrounded by whitespace, or as a series of words surrounded by double quotes, "like this"; also, very common words (and, the, etc. Python-OOXML is a Python library for parsing Office Open XML files. Written entirely in Python. Examining your GFF file. OData helps you focus on your business logic while building RESTful APIs without having to worry about the various approaches to define request and response headers, status codes, HTTP methods, URL conventions, media types, payload formats, query. Learn more about Teams. Try using an obscure (or even made-up) word, and see if it correctly labels it. Expat is a non-validating parser, and ignores any DTDs linked to a document. I am working on user-friendly command-line interfaces, and I want to pass input via the shell args as follows:. x, especially some exception messages, which were improved in 3. doc files to. @return Set of Strings, one for each word in fSearchText; here "word" is defined as either a lone word surrounded by whitespace, or as a series of words surrounded by double quotes, "like this"; also, very common words (and, the, etc. Install a version of Python 3 (for which this tutorial is written). 2 A general description of Python. If a Xml document references an external entity in its DTD, and if this Xml document is loaded into memory through an URL, then the parser won't resolve the correct URI to locate the external file that contains the external entity. #!/usr/bin/env python ''' Runs a regular expression over the first few hundred words in a dictionary to find if any words start and end with the same letter, and having two of the same letters in a row. parseHTML as they usually pass in the current document. In the end I think I changed the design to simply just use Amara, but there was a definite path for building Python and XSLT based apps using distutils, which is really exciting. The documentation below provides a practical guide to examining, parsing and writing GFF files in Python. How to Use Python Regular Expressions to Parse a Text File (Practical Use Case Scenario with Python Reg-Ex Re Split Sub) by Aaron Tabor. Using Python to Parse Spreadsheet Data Learn how to Share Data with PHPExcel with our video tutorial. docopt is based on conventions that have been used for decades in help messages and man pages for describing a program's interface. Changing the Python Language¶. The content in the place of the word hello will be varying. The goal of this tutorial is to help you develop applications using Google Cloud Vision API Document Text Detection. Word Class: Word class is the most basic class of the system. (4 replies) Hi all, I'm currently using antiword to extract content from MS Word files. Unlike the basic Spark RDD API, the interfaces provided by Spark SQL provide Spark with more information about the structure of both the data and the computation being performed. This improvement does not apply to internal uses of jQuery. For example, lets say you are writing a simulator and you need an easy, human way to define parts about a given world like light sources, obstacles, and dimensions. python-docx¶. ActiveState Python 2. Once you have the Word document created, merging the values is a simple operation. Once it is defined, the grammar can be exported as a file defining the grammar in Python or any other supported language. In using it, the process steps through the tables, row by row, cell by cell and converts the data into an HTML document containing one or more tables. Along with this, we will learn Python Parsing XML with DOM and SAX. ) as an implementation of the markdown parser that follows the syntax rules and the behavior of the original (markdown. If you want to extract the text content of a Word file there are a few solutions to do this in Python. 8| Vocabulary. It is based on my olefile parser. Unfortunately most of these solutions have dependencies or need to run an external command in a subprocess or are heavy/complex, using an office suite, etc. a tuple of strings, or a frozen set) not just strings. In using it, the process steps through the tables, row by row, cell by cell and converts the data into an HTML document containing one or more tables. TokenizerI A tokenizer that divides a string into substrings by splitting on the specified string (defined in subclasses). Ublox parser. PDFMiner is a tool for extracting information from PDF documents. The python program below reads the json file. Python实现PDF转Word文档 2018年7月12日 10:52:29 发表评论 1,879 views 本文最后更新于2018年7月12日,已超过 1 年没有更新,如果文章内容或图片资源失效,请留言反馈,我们会及时处理,谢谢!. Parsing Word Document #449. But first you need to parse them. In this video, we'll start using specific tools to analyze our example texts. Learn more about Teams. X environments. This advanced XML editor provides the most intuitive tools for XML editing, authoring, and development. While most research has centered around Microsoft products, LibreOffice has also had a few vulnerabilities in this area. The LDA topic model algorithm requires a document word matrix as the main input. Good morning, I'm trying to write some Python code to programmatically do a Find and Replace of a string within a Microsoft Word document. Resume-parser Python program to analyze resume (word document) using a generated set of keywords #Working 1. It allows the maximum flexibility for the developer, whilst maintaining readability of code. Parse complex text files using Python. Download RTF DOM Parser for free. You can open and work on an existing Word document using python-docx, but we'll keep things simple for the moment. The following are code examples for showing how to use nltk. Unlike the basic Spark RDD API, the interfaces provided by Spark SQL provide Spark with more information about the structure of both the data and the computation being performed. Right mouse click on your document and select rename to fixme. Action instance that this completer was called for. docx) files. EnsureDispatch('Word. 15 or later is required by the. In multimedia file formats, you can store variety of data such as text image, graphical, video and audio data. Value interpolation using Python formatting strings is also supported, to build. There should be one invitation per page in the resulting Word document, so call add_break() to add a page break after the last paragraph of each invitation. This post explains how transition-based dependency parsers work, and argues that this algorithm represents a break-through in natural language understanding. Parsing an entire document with parse() returns an ElementTree instance. Fuzzy searches discover terms that are similar to a specified term without necessarily being an exact match. More information is available in the python-docx documentation. 1build1) [universe] Python library for accessing Gallery web installations python-gamera (3. It is processed insofar as it consists of complete elements; incomplete data is buffered until more data is fed or close() is called. Today we will learn python script to extract metadata from pdf file. JSON is a text format that is completely language independent but uses conventions that are familiar to programmers of the C-family of languages, including C, C++, C#, Java, JavaScript, Perl, Python, and many others. Python Word Parser. The top down parser will start from the higher level rule: it will identify 2 + 3 as an expression. DOM parser parses the entire XML document and loads it into memory; then models it in a “TREE” structure for easy traversal or manipulation. Python wordsegment uses two text files to store unigram and bigram count data. Words you can generate, modify, convert, render and print documents. doc file in a "directory" tree into a corresponding. The parse() function can take either a filename or an open file object. python-docx should be able to parse one Word document for my purpose. Using this module your programs can parse html documents and extract. This video is unavailable. A concise sample implementation is provided, in 500 lines of Python, with no external dependencies. Parsing CSV Files With Python's Built-in CSV Library. It is processed insofar as it consists of complete elements; incomplete data is buffered until more data is fed or close() is called. Objectives Understand OpenStreetMap data structure How to parse it Get a feel of how basic GIS services work Andrii V. At this stage in the tutorial, I would recommend parsing this data using the parser in R from the last section of the Twitter tutorial or creating your own. While this SAX event based parser is better for memory management than the tree based parsers of SimpleXML and DOM, the pull-based parser XMLReader is much easier to use than the xml_parser_* functions, and still doesn't require loading the file into memory. How to load, use, and make your own word embeddings using Python. close ¶ Force processing of all buffered data as if it were followed by an end-of-file mark. org site has links and examples for xlrd and related python excel libraries, including a pdf document that has some good examples of using xlrd. The content of response now contains the XML file data which we save as topnewsfeed. The configuration files are organized into sections, and each section can contain name-value pairs for configuration data. According to these people, if you are looking for a fast, memory efficient and simple to use tool for working with XML, try ElementTree instead (in the xml. "At the opposite extreme, the python-xbrl library was specially created for parsing XBRL documents, but I've never gotten it to work properly. A lot of APIs will give you responses in JSON format. Once the parsed HTML is injected into a document it does execute, but this gives tools a chance to traverse the created DOM and remove anything deemed unsafe. php on line 143 Deprecated: Function create_function() is. SQL database and parser generator for Python python-galleryremote (0. Let whatever thereby fails, fail, and be updated. The Open Document Format (ODF) Alliance is designed for sharing information between different word processing applications. Online YAML Parser - just: write some - yaml: - [here, and] - {it: updates, in: real-time} Output: json python canonical yaml Link to this page. So if you don't have an existing library to open a Word doc, your first step is probably to open it as a zip archive and then go after the specific part you want, probably the word/document. parser — Access Python parse trees¶. similarities. py in the directory in which the word documents that are to be operated upon are present. When an event occurs, it calls a specified function to handle it. Explanation: We first import the configparser, tell it to read the file, and get a listing of the sections. pdf) or read book online for free. Unfortunately most of these solutions have dependencies or need to run an external command in a subprocess or are heavy/complex, using an office suite, etc. Mining Data from PDF Files with Python by Steven Lott I found four Python packages for reading PDF files. This week, we landed another file format exploit that uses an event listener to trigger silent, interactionless Python code execution in one of LibreOffice's bundled components. It has tools for data mining (Google, Twitter and Wikipedia API, a web crawler, a HTML DOM parser), natural language processing (part-of-speech taggers, n-gram search, sentiment analysis, WordNet), machine learning (vector space model, clustering, SVM), network analysis and visualization. The primary purpose for this interface is to allow Python code to edit the parse tree of a Python expression and create executable code from this. For bigger files up to 100 megabytes, use the batch formatter. Resume-parser. With a little scripting, cleaning up documentation and other large sets of HTML files can be easy. to describe (a word) grammatically by stating the part of speech and explaining the inflection (see inflection 3a) and syntactical relationships. Skip navigation Sign in. Word Tokenization and Extraction; Sixth Step: Extracting Education; First Step: Reading the Resume. MP3 file format comes under the multimedia file formats. Related course: Complete Python Bootcamp: Go from zero to hero in Python 3. Learn more about how to make Python better for everyone. The following are code examples for showing how to use nltk. Now's the time to bite the bullet and get a grip on those of XML's vast capabilities that are relevant to you. The Parser interface can be seen in the following example: Example 1. I am have trouble with find these text boxes in parsing word documents. Once it has a Word document it attempts to parse it and look for tables. pdf) or read book online for free. More information is available in the python-docx documentation. Pypdf is offers ability to extract document information, split ,merge,crop,encrypt and decrypt documents. OData helps you focus on your business logic while building RESTful APIs without having to worry about the various approaches to define request and response headers, status codes, HTTP methods, URL conventions, media types, payload formats, query. Content: What we are going to do is to create a Python script that creates a blank Word document, then it will collect all the images in the same folder to put into the word document. The fact-checkers, whose work is more and more important for those who prefer facts over lies, police the line between fact and falsehood on a day-to-day basis, and do a great job. Today, my small contribution is to pass along a very good overview that reflects on one of Trump’s favorite overarching falsehoods. Namely: Trump describes an America in which everything was going down the tubes under  Obama, which is why we needed Trump to make America great again. And he claims that this project has come to fruition, with America setting records for prosperity under his leadership and guidance. “Obama bad; Trump good” is pretty much his analysis in all areas and measurement of U.S. activity, especially economically. Even if this were true, it would reflect poorly on Trump’s character, but it has the added problem of being false, a big lie made up of many small ones. Personally, I don’t assume that all economic measurements directly reflect the leadership of whoever occupies the Oval Office, nor am I smart enough to figure out what causes what in the economy. But the idea that presidents get the credit or the blame for the economy during their tenure is a political fact of life. Trump, in his adorable, immodest mendacity, not only claims credit for everything good that happens in the economy, but tells people, literally and specifically, that they have to vote for him even if they hate him, because without his guidance, their 401(k) accounts “will go down the tubes.” That would be offensive even if it were true, but it is utterly false. The stock market has been on a 10-year run of steady gains that began in 2009, the year Barack Obama was inaugurated. But why would anyone care about that? It’s only an unarguable, stubborn fact. Still, speaking of facts, there are so many measurements and indicators of how the economy is doing, that those not committed to an honest investigation can find evidence for whatever they want to believe. Trump and his most committed followers want to believe that everything was terrible under Barack Obama and great under Trump. That’s baloney. Anyone who believes that believes something false. And a series of charts and graphs published Monday in the Washington Post and explained by Economics Correspondent Heather Long provides the data that tells the tale. The details are complicated. Click through to the link above and you’ll learn much. But the overview is pretty simply this: The U.S. economy had a major meltdown in the last year of the George W. Bush presidency. Again, I’m not smart enough to know how much of this was Bush’s “fault.” But he had been in office for six years when the trouble started. So, if it’s ever reasonable to hold a president accountable for the performance of the economy, the timeline is bad for Bush. GDP growth went negative. Job growth fell sharply and then went negative. Median household income shrank. The Dow Jones Industrial Average dropped by more than 5,000 points! U.S. manufacturing output plunged, as did average home values, as did average hourly wages, as did measures of consumer confidence and most other indicators of economic health. (Backup for that is contained in the Post piece I linked to above.) Barack Obama inherited that mess of falling numbers, which continued during his first year in office, 2009, as he put in place policies designed to turn it around. By 2010, Obama’s second year, pretty much all of the negative numbers had turned positive. By the time Obama was up for reelection in 2012, all of them were headed in the right direction, which is certainly among the reasons voters gave him a second term by a solid (not landslide) margin. Basically, all of those good numbers continued throughout the second Obama term. The U.S. GDP, probably the single best measure of how the economy is doing, grew by 2.9 percent in 2015, which was Obama’s seventh year in office and was the best GDP growth number since before the crash of the late Bush years. GDP growth slowed to 1.6 percent in 2016, which may have been among the indicators that supported Trump’s campaign-year argument that everything was going to hell and only he could fix it. During the first year of Trump, GDP growth grew to 2.4 percent, which is decent but not great and anyway, a reasonable person would acknowledge that — to the degree that economic performance is to the credit or blame of the president — the performance in the first year of a new president is a mixture of the old and new policies. In Trump’s second year, 2018, the GDP grew 2.9 percent, equaling Obama’s best year, and so far in 2019, the growth rate has fallen to 2.1 percent, a mediocre number and a decline for which Trump presumably accepts no responsibility and blames either Nancy Pelosi, Ilhan Omar or, if he can swing it, Barack Obama. I suppose it’s natural for a president to want to take credit for everything good that happens on his (or someday her) watch, but not the blame for anything bad. Trump is more blatant about this than most. If we judge by his bad but remarkably steady approval ratings (today, according to the average maintained by 538.com, it’s 41.9 approval/ 53.7 disapproval) the pretty-good economy is not winning him new supporters, nor is his constant exaggeration of his accomplishments costing him many old ones). I already offered it above, but the full Washington Post workup of these numbers, and commentary/explanation by economics correspondent Heather Long, are here. On a related matter, if you care about what used to be called fiscal conservatism, which is the belief that federal debt and deficit matter, here’s a New York Times analysis, based on Congressional Budget Office data, suggesting that the annual budget deficit (that’s the amount the government borrows every year reflecting that amount by which federal spending exceeds revenues) which fell steadily during the Obama years, from a peak of $1.4 trillion at the beginning of the Obama administration, to $585 billion in 2016 (Obama’s last year in office), will be back up to $960 billion this fiscal year, and back over $1 trillion in 2020. (Here’s the New York Times piece detailing those numbers.) Trump is currently floating various tax cuts for the rich and the poor that will presumably worsen those projections, if passed. As the Times piece reported: