Create Excel File In Python Using Openpyxl

openpyxl is a Python library to read/write Excel 2010 xlsx/xlsm/xltx/xltm files. Each workbook contains one or more worksheets. First of all create a new project and inside this create a python file. That means that any file I want to create programmatically must be something I basically create from scratch, and the. The issue is, when we get the excel data updated using the OpenPyXl Python library and refresh power BI, the data doesn't get updated in Power BI. org that seems to do what you want Excel (XLS) <-> CSV conversion using a Javascript and PHP. The thing to remember is that even if you call xl. python Excel相关的操作的module lib有两组,一组是xlrd、xlwt、xlutils,另一组是openpyxl, 但是前一组(xlrd,xlwt)比较老,只能处理由Excel 97-2003 或者Excel 97 以前版本生成的xls格式的excel文件,xlwt甚至不支持07版以后的excel,这个格式excel文件一般来说,最大只能支持256列. At the current integration level,. Creating The Add-In File. For this example, they're tab. Whether we have multiple Excel files, or just multiple worksheets in Excel, PowerShell simplifies the process. For example, user might have to go through thousands of rows and pick out few handful information to make small changes based on some criteria. The Python write excel file is used to perform the multiple operations on a spreadsheet using the xlwt module. Conclusion. So, In this Blog Post, We will see how to create an XML document and parse XML Document using python. I am trying to clear the contents in the worksheet and overwrite contents from a text file. Excel spreadsheet files. Welcome to openpyxl-templates! Openpyxl-templates is an extention to openpyxl which simplifies reading and writing excelfiles by formalizing their structure into templates. How to create Excel file in C# The following C# code example shows how to use COM interop to create an Excel file. You'll learn how to manipulate Excel spreadsheets, extract information from spreadsheets, create simple or more complex spreadsheets, including adding styles, charts, and so on. Related course: Data Analysis with Python Pandas. Read the excel data using xlrd module; Python Anti-Patterns; Python concurrency; Python Data Types; Python HTTP Server; Python Lex-Yacc; Python Networking; Python. xls and not. Right Click on My Computer. For example, from pathlib import Path Path('my_file. Finally, we write the updated output to the file. Individual storage engines may impose engine-specific constraints. Prerequisites. Creating Workbook instance works creating a new empty workbook with at least one worksheet. Click File (or the Colorful circle icon, depending on the version of Excel you have). Building and Parsing XML Document using Python While developing a web Application in most cases we need to build and parse XML document using Python. Go to your Excel document. In this tutorial we work with xlsx files. The package has two main components: The TemplatedWorkbook which describe the excel file; The TemplatedSheets which describe the individual sheets within the file. My code is as follows #!/usr/bin/pyt. How to Create Help Files for MS Excel (VBA) Application in Dr. The xlsm files support macros. This video demonstrates how to create the two most important objects when working with openpyxl: the workbook and worksheet. py in the same directory as the Excel file but you can change that via config. If you want to write any specific data in the file then use echo command. py for Python files *. It is pretty easy to pass a filename as a command-line argument to a Python program. You can get the value of a single byte by using an index like an array, but the values can not be modified. To do that we need to pen up Terminal, and navigate to the folder where the excel. We will start out by reading the first Excel file we created in our previous article. A box addressed by [column, row] pair is called a cell. The first thing we need to do in order to make use of this library is install OpenPyXL. xlsx" file data is queried in MS Power BI. Multimedia file formats are similar to image file formats, but they happen to be one the most complex file formats. xls column1 column2 column3 column4 column5 EMEA root Oct 2 12:26 APAC Aim Nov 29 18:40 Column1 is static the rest of the columns are dynamic. The main idea is to use the xlrd module to open and parse a xls file and write the content to a xlsx file using the openpyxl module. Python + Excel 1. XlsxWriter is a Python module for writing files in the Excel 2007+ XLSX file format. docx files based on some existing template. Open and Edit an Excel template using Python's openpyxl library - excel_generator. NET source code. You can get the value of a single byte by using an index like an array, but the values can not be modified. xlsx') In the next section, I'll show you a simple example, where: I'll create pandas DataFrame from. Place the file in a directory that your administrator has set up as a data source. It was kickstarted when I found out openpyxl package does not includes sorting fucntionalities to create xlsx files already sorted (the only option available was to set a sorting button to sort the rows inside Microsoft Excel, not creating the file already sorted). How to scroll down to the bottom of a page ? 8. Now iterate over the rows in worksheet and for each row iterate over the cells and read the value in each cell. Openpyxl create. It is pretty easy to pass a filename as a command-line argument to a Python program. The openpyxl module allows Python program to read and modify Excel files. Here are some libraries you can install: Openpyxl (for reading and writing Excel files, keep in mind this will not work with older. Specifically, the ‘*. PyXLL, the Python Excel Add-In embeds Python in Excel, allowing us to extend Excel with Python. Related course: Data Analysis with Python Pandas. Is there a way of using VBA to open another Excel document? In this case, the other document needs to be open but minimised so it can be used by the parent document as a reference file. openpyxl is the most used module in python to handle excel files. We will use the D3. The default value is xlWorksheet. Example output ¶ Figures. json logs from GC Easy by hitting the API; something I was never going to be able to do with Excel. Click File (or the Colorful circle icon, depending on the version of Excel you have). It is a java-based solution and it is available for Windows, Mac and Linux. 01 Creating a spreadsheet This section describes how to create a spreadsheet and modify it to suit your needs. XlsxWriter is a Python module for creating Excel XLSX files. For example, you can use a Python script to move data before or after a translation. pdf', 'output') #replace c. Call to_excel() function on the DataFrame with the writer and the name of the Excel Sheet passed as arguments. Copy all of the Excel claims listing files into a folder named “excel files”, inside the working directory of the R project. Now, let's save this sheet to. Using Pandas and XlsxWriter to create Excel charts An introduction to the creation of Excel files with charts using Pandas and XlsxWriter. At the same time, it's pretty easy to create a comma-separated file from Python. sql file is). Install openpyxl using pip: pip install openpyxl. One can choose to create interactive data visualizations online or use the libraries that plotly offers to create these visualizations in the language/ tool of choice. Let’s get started!. The most likely outcomes would be Excel either complaining the file format is invalid or ignoring the extra data. ; conda install (Anaconda includes 100 of the most popular Python, R and Scala packages for data science and several open source development environments such as Jupyter and Spyder). Be sure to check out the accompanying video! Download the dependencies. Data stored in numerous Excel sheets can be extracted by using the Python packages written for the same (like xlrd). XlsxWriter is a Python module for creating Excel XLSX files. For example, I have created a file that stores book's information. Read the excel data using xlrd module; Python Anti-Patterns; Python concurrency; Python Data Types; Python HTTP Server; Python Lex-Yacc; Python Networking; Python. And if you're using Python, you'll be definitely using Pandas and NumPy, the third-party packages designed specifically for data analysis. The ability of ExcelWriter to save different dataframes to different worksheets is great for sharing those dfs with the python-deficient. I match the text file to the xlsx and write the 'Scores' column in the xlsx sheet and save the workbook. After the data are read using Python, the air temperature is plotted using a Mollweide projection. If you need to use a UCS4 version of Python with pyodbc (for example, you are using a Python package supplied for your Linux distribution that is a UCS4 build), refer to these notes: SQL Server. This release is comprised mostly of fixes and minor features which have been back-ported from the master branch. Python openpyxl load_workbook( ) function is used when you have to access an MS Excel file in openpyxl module. Posted Matlab has better support for interacting with Excel than python does right now. Analyzing Data Using Excel 4 Analyzing Data Using Excel Rev2. The following are code examples for showing how to use openpyxl. world()" ) End Sub Per default, RunPython expects hello. Data Scientists uses spreadsheets more than anyone else in the world and obivously they. ie 2013 Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. xlrd is a module that allows Python to read data from Excel files. load_workbook(). Hopefully it will help many developers learn how to export Excel files in a Python/Django properly. 4+, you can directly use the pathlib module to touch files. xls Excel 2003 binary spreadsheets) or openpyxl (for. net; Creating Dropdown in excel using VB. It's pretty easy to open a comma-separated file from Excel and treat it as if it's a spreadsheet. PyXLL, the Python Excel Add-In embeds Python in Excel, allowing us to extend Excel with Python. Install openpyxl using pip: pip install openpyxl. openpyxl — A Python library to read/write Excel 2010 xlsx/xlsm files — openpyxl 2. I am trying to add a BarChart in excel using openpyxl and is not working File "C: \Users\Gopal sir \Users\Gopal sir\AppData\Roaming\Python\Python37\site. Below we have collected a list of key OData producers, which will continue to grow along with the OData ecosystem. from openpyxl import Workbook, load_workbook #creating an empty workbook new_workbook=Workbook() #creating a workbook from file wokbook_from_file=load_workbook(file_name) # is the path and the name of the excel file as a string If you create a empty workbook it will have one sheet with sheet name “Sheet”, you can access this sheet with. 0 is now out! At a customer, we read a lot of Excel files. Python Programming tutorials from beginner to advanced on a massive variety of topics. For example, the XLSX engine does not support Excel named ranges (which can surface a portion of a spreadsheet as a discrete table). To do that we need to pen up Terminal, and navigate to the folder where the excel. Sheets are referenced by their names. Enter the name of the Add-In workbook and choose Microsoft Office Excel Add-In (*. Step 4: In the blank adjacent column, add a corresponding Excel function – for instance, use SUBSTITUTE to change specific text in the filenames, use CONCATENATE () with DATE () if you want to add date to the filename, etc. xlsx" file data is queried in MS Power BI. I wrote last year how to use Python to generate JSON files from a SQL database. A Python documentation website. In this guide, we will learn how to write to and read from a workbook using Python and the openpyxl module. Below are some of the basics to get started with integrating Excel into your workflow programmatically with Openpyxl. We also share information about your use of our site with our social media and analytics partners. Many spreadsheets have formulas and formatting that Python tools for reading and writing Excel files cannot faithfully reproduce. Here we are using openpyxl module to read Excel file in Django. openpyxl is a great all around choice in that it supports functionality. One of the major benefits of using Python and pandas over Excel is that it helps you automate Excel file processing by writing scripts and integrating with your automated data workflow. Because it is based on Python, it also has much to offer for experienced programmers and researchers. Basic Python Programming: for loops and reading files In the last tutorial we covered a range of topics including lists and how to define your own functions. Below are some of the basics to get started with integrating Excel into your workflow programmatically with Openpyxl. That means that any file I want to create programmatically must be something I basically create from scratch, and the. Xlsx files are the most widely used documents in the technology field. Each page already has an excel template to sort of mirror the wpf page, but I would want to check and make sure the data from the excel print form matches the data that was just entered into the form. As we have only one worksheet in our workbook, the sheets variable equals to 'Sacramento'. You can vote up the examples you like or vote down the ones you don't like. $ sudo pip3 install openpyxl We install openpyxl with the pip3 tool. There are a couple of ways to create Microsoft Excel spreadsheets with Python. Read Excel column names We import the pandas module, including ExcelFile. For installing openpyxl module, we can write this command in command prompt. 5 installed via pip ``` #!python #!/usr/bin/env python import openpyxl as px from. Udemy full course COUPON $10. In such cases, a good solution is to display a File Open dialog and let the user pick the file she wants. You put commands in your batch file using the same syntax you used from the command line. - If you use a 32 bit version of Excel you must also use a 32 bit versions of Python and PyXLL. get_sheet_by_name(name = 'name of the sheet') after that i have to append some values in that excel file. excel /r fileName. In this post and the accompanying video, I show just part of the project - importing data from Excel into MySQL via Python. In order to install OpenPyXL, we will be using pip, which is (based on. To Create a Worksheet 1. I recommend you to use python virtualenv. In general, the structure of an Excel spreadsheet object is as follows: The workbook is the overall file. CSV Files - Reading comma-separated data. Our spreadsheet file name is - TestBook. We will read the below excel file using Python programming language. constants import sys import itertools tablecount = itertools. To create a log file in Notepad: Click Start, point to Programs, point to Accessories, and then click Notepad. Working with Excel files in Python is not that much hard as you might think. From Management Studio--> Object Explorer-->ServerObjects-->Right click Linked Servers to open a new Linked Server window. One of the major benefits of using Python and pandas over Excel is that it helps you automate Excel file processing by writing scripts and integrating with your automated data workflow. My code is as follows #!/usr/bin/pyt. It's a powerful tool that is helping to streamline development and data science. The first argument to reader() is. Creating an Excel Spreadsheet with Python. XlsxWriter is a fully featured Excel writer that supports options such as autofilters, conditional formatting and charts. sav) files in Python, and 2) how to write to SPSS (. Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. With amazing performance and functionality EasyXLS™ for Java has all the features needed to export data from Java to Excel as well as read and write data from or to Excel files using XLS, XLSX, XLSB, XLSM, XML, HTML, CSV file formats. append (line) to add each line to our myList list. Resources are available for professionals, educators, and students. Python offers several options to handle XML files. Does Selenium 2 support XPath 2. fs, switching to the local file API pattern suggested here worked fine with ZipFile and os. Now back to testing openpyxl on Excel 2013 files. pip install openpyxl Create Excel sheetContinue reading. Safely store and share your photos, videos, files and more in the cloud. Appending data to existing excel document Openpyxl Hello, I am attempting to write to an existing Excel file from 2 variables. It works great for reporting, unit tests and user defined functions (UDFs). Attention! It cannot handle complex xls files, you should add you own parsing logic if you are going to use it. I've tried writing to the same file, and also to a new filename, but after saving, the new file cannot be opened by excel I'm running Excel Mac 2011 Python 2. This tutorial walks you through how to package a simple Python project. xlsx" file data is queried in MS Power BI. Your path (i. NET source code. python-excel. Start Dia and select "File->Open" to open your CSV file. Add header file: Project > Properties > Configuration Properties > C/C++ > Additional Include Directories > Add the directory where the file HelloDLL. xlsx' file extension. What encoding to use when reading Python 2 strings. You will use formulas and formatting as well as embed a chart. In the below Python script we imported xlwt module. When using read_excel, you pass the Excel file every time and hence the file is loaded again for every sheet. MemoryFileUploadHandler holds the uploaded file in memory and django-excel reads the excel data from this memory buffer without caching it onto file system. Python program that uses in and not in on strings filename = "cat. Workbook is the name for an Excel file in Openpyxl. OpenPyXL is a library used to read and write Excel 2010 xlsx/xlsm/xltx/xltm files. Python has multiple 3rd party libraries for reading and writing Microsoft Excel files. If you like it, click on 👏 to rate it out of 50 and also…. com aspires to publish all content under a Creative Commons license but may not be able to do so in all cases. [C#] File Attributes – how to get or set file attributes [C#] Get File Time – how to get last modification time of a file [C#] Open File With Associated Application – how to launch the default application; XML [C#] Select XML Nodes by Name – how to get xml nodes using XPath expressions popular. Hopefully it will help many developers learn how to export Excel files in a Python/Django properly. I have an excel sheet where I need to mainupulate a certain work sheet. Asking for help, clarification, or responding to other answers. Now iterate over the rows in worksheet and for each row iterate over the cells and read the value in each cell. From the File Type dropdown, choose the CSV (Comma delimited) (*. 2 openpyxl 1. File Endings. How to create a pandas data frame on python csv data frame. pip install. In this article we will show how to create an excel file using Python. Thanks for reading this article. NET Forums / General ASP. We also share information about your use of our site with our social media and analytics partners. docx files based on some existing template. a bundle of software to be installed), not to refer to the kind of package that you import in your Python source code (i. Install it using. of functions that we can call using this object. 4 Maintenance 3). 7, it builds smaller executables thanks to transparent compression, it is fully multi-platform, and use the OS support to load the dynamic libraries, thus ensuring full compatibility. From Analysts to CEOs, various professionals use Excel for both quick stats and serious data. Re: How to select Excel sheet in python? Here's the function I use to open an excel spreadsheet for a specific sheet and grab all the columns and their values. worksheets[0] Any help would be appreciated. to_excel()` [can be dictionary] Returns: None """ from openpyxl import load_workbook import pandas as pd # ignore [engine] parameter if it was passed if 'engine' in to_excel_kwargs. xlsx('input. There is also another library openpyxl, where you can work with xlsx files. Python is a great general-purpose language as well as for carrying out statistical analysis and data visualization. Free Bonus: Click here to download an example Python project with source code that shows you how to read large Excel files. world()" ) End Sub Per default, RunPython expects hello. Become an Excel Power User - Learn how to control & automate Excel with Python and OpenPyXL. xlsx with c. I have an excel sheet where I need to mainupulate a certain work sheet. I have an excel sheet where I need to mainupulate a certain work sheet. You'll learn how to manipulate Excel spreadsheets, extract information from spreadsheets, create simple or more complex spreadsheets, including adding styles, charts, and so on. How to create a pandas data frame on python csv data frame. xlsx" file data is queried in MS Power BI. A Quick Guide to Using the MySQL SLES Repository. Hopefully it will help many developers learn how to export Excel files in a Python/Django properly. Steps for creating PostgreSQL tables in Python. If you receive a raw pickle file over the network, don't trust it! It could have malicious code in it, that would run arbitrary python when you try to de-pickle it. Posted Matlab has better support for interacting with Excel than python does right now. Below we have collected a list of key OData producers, which will continue to grow along with the OData ecosystem. This means that python macros cannot reference other python macro files. to_excel(r'Path where you want to store the exported excel file\File Name. First get the excel file from FILES in request and then get the desired worksheet from the workbook. Place the file in a directory that your administrator has set up as a data source. Your file should use ";" to separate the columns. js, HTML and CSS. Installing openpyxl. Re: How to select Excel sheet in python? Here's the function I use to open an excel spreadsheet for a specific sheet and grab all the columns and their values. openpyxl library for processing. OpenPyXl is a Python open library that allows you to read and write Microsoft Excel files. In this post we will generate an excel report using python (pandas and openpyxl). There are a couple of ways to create Microsoft Excel spreadsheets with Python. Create a KML file with Python. Gallery About Documentation Support. Now we have to create a excel file. xlsx in the cwd I use python 3. It also allows us to read or write to rows and columns, merge or un-merge cells or create Python excel charts etc. One can choose to create interactive data visualizations online or use the libraries that plotly offers to create these visualizations in the language/ tool of choice. It's part of a suite of Excel-related tools available from www. openpyxl is a Python library to read/write Excel 2010 xlsx/xlsm/xltx/xltm files. Anaconda Cloud. However once you get the Visual Basic Editor started it looks the same and is used in the same way in all versions of Excel. Being able to use native Excel functionality to create charts and add formatting etc, is fundementally different from using Python funrionality and then just pasting in images of those charts. truncate_sheet : truncate (remove and recreate) [sheet_name] before writing DataFrame to Excel file to_excel_kwargs : arguments which will be passed to ` DataFrame. If the second column is empty, there is no parent. Installing OpenPyXL. Install Packages to Read and Write Excel Files¶. This video demonstrates how to create the two most important objects when working with openpyxl: the workbook and worksheet. I use Excel, but you can also use OpenOffice or similar applications. It's part of a suite of Excel-related tools available from www. Open up your favorite text editor and create a new file called hello. But this quickly leads to a need to add worksheets to an existing workbook, not just creating one f. Workbooks are a core component to navigating data in Excel. OpenPyXl is a Python open library that allows you to read and write Microsoft Excel files. A common task for python and pandas is to automate the process of aggregating data from multiple files and spreadsheets. openpyxl - Install it using the following command in your command prompt / shell: pip install openpyxl. Step 3: Set up the sample. Our spreadsheet file name is - TestBook. Introduction. Whether we have multiple Excel files, or just multiple worksheets in Excel, PowerShell simplifies the process. Then I used cmd, changed directory to the unpacked openpyxl folder, ran "python setup. The purpose is to edit excel files without otherwise modifying the excel document, to allow for efficient and quick edits of an excel file. Creating charts in Excel Spreadsheets include a lot of tools to deal with data, including presenting the data in colorful charts. The version of the script I use now not only reads every file type I needed to read, but with a few extra lines of Python code I was able to automatically get the Java Garbage Collection. xlsx') In the next section, I'll show you a simple example, where: I'll create pandas DataFrame from. fs, switching to the local file API pattern suggested here worked fine with ZipFile and os. To use COM components from. You need to use xlwt (for. truncate_sheet : truncate (remove and recreate) [sheet_name] before writing DataFrame to Excel file to_excel_kwargs : arguments which will be passed to ` DataFrame. worksheets: print (ws. com contains online tools for converting CSV and Excel data. There are a couple of ways to create Microsoft Excel spreadsheets with Python. Data stored in numerous Excel sheets can be extracted by using the Python packages written for the same (like xlrd). I'm trying to read an existing xlsm file and write it out. Posted Matlab has better support for interacting with Excel than python does right now. 01 Creating a spreadsheet This section describes how to create a spreadsheet and modify it to suit your needs. xls file format, please use xlrd to read this file, or. The ease with which you can perform this task is almost scary because it’s too easy. At the current integration level,. Excel spreadsheet files. First create an Excel file named MyTable. To create a new table in a PostgreSQL database, you use the following steps: First, construct a CREATE TABLE statement. 0 is now out! At a customer, we read a lot of Excel files. Installing the Interop Assemblies. I can set password to an excel file which I modified or created by using openpyxl but my question is how to open a password protected file using openpyxl? Re: [openpyxl-users] Re: can I open password-protected excel file using openpyxl lib in python?. On the File menu, click Save As, type a descriptive name for your file in the File name box, and then click OK. Spreadsheet;. XlsxWriter is a Python module for writing files in the Excel 2007+ XLSX file format. How to Create Help Files for MS Excel (VBA) Application in Dr. i have realized that by suing the following codes I can read an excel file: Make sure values. Python provides openpyxl module for operating with Excel files. xlsx Excel 2007+ OOXML spreadsheets) or arcpy. Python is a programming language that can be used within FME to accomplish tasks either before or after FME runs or to perform tasks within FME which are not possible with standard FME tools and transformers*. I prefer to use a tool like xls2csv and then use the output file as a csv. In the excel file, i have 2 columns and i want to write col1 to the next blank row in the first column and col2 to the next blank row in the second column. Sheets are referenced by their names. Building and Parsing XML Document using Python While developing a web Application in most cases we need to build and parse XML document using Python. Some files use an escaping format that is a mixture of the Excel escaping and Unix escaping where fields with commas are embedded in a set of double quotes like the Excel escaping, but fields containing double quotes are escaped by inserting a single backslash character before each double quote like the Unix style comma escaping. Click below link to download openpyxl package; Download openpyxl package. xlsx files I will use openpyxl python library. xls extension. Open and Edit an Excel template using Python's openpyxl library - excel. Reading Excel Spreadsheets with Python and xlrd April 30, 2014 Cross-Platform , Python , Windows Excel , Python Mike Last month we looked at how to create Microsoft Excel (i. Working with Excel sheets in Python using openpyxl In this tutorial, we will see a demonstration on how to use Excel sheets in the python using openpyxl. xlsx with c. Python offers several options to handle XML files. In this post and the accompanying video, I show just part of the project - importing data from Excel into MySQL via Python. The key is to install the Python library MySQLdb. Appending data to existing excel document Openpyxl Hello, I am attempting to write to an existing Excel file from 2 variables. py sdist, run instead python setup. net; Creating Dropdown in excel using VB. Learn the latest GIS technology through free live training seminars, self-paced courses, or classes taught by Esri experts. In a future article the attention will be drawn to PDF, another way to export data. The template on this page. Introduction ¶. In the below image you see I have opened a cmd prompt and navigated to the directory where I have put the excel file that has to be read. When using on-demand, it is advisable to ensure that Book. 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: